qft2.ipynb

{
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  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# QFT"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This article follows the convention of qiskit of qubits ordering, i.e. \n",
    "$|x_{n-1}x_{n-2}\\cdots x_1x_0\\rangle$."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Definition\n",
    "\n",
    "For n qubits (with N possible states) $\\sum_{j=0}^{N-1} \\alpha_j|j\\rangle$, the quantum Fourier transform $\\sum_{k=0}^{N-1} \\beta_k |k\\rangle$ is defined as,\n",
    "\n",
    "$$\n",
    "\\begin{align*}\n",
    "\\sum_{k=0}^{N-1} \\beta_k |k\\rangle &= QFT \\sum_{j=0}^{N-1} \\alpha_j|j\\rangle \\tag 1\\\\\n",
    "\\beta_k &= \\frac{1}{\\sqrt{N}} \\sum_{j=0}^{N-1} \\alpha_j e^{\\frac{2\\pi i}{N}jk} \n",
    "\\end{align*}\n",
    "$$"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "That is,\n",
    "\n",
    "$$\n",
    "QFT \\sum_{j=0}^{N-1} \\alpha_j|j\\rangle = \\frac{1}{\\sqrt{N}} \\sum_{k=0}^{N-1} \\sum_{j=0}^{N-1} \\alpha_j e^{\\frac{2\\pi i}{N}jk} |k\\rangle\n",
    "$$"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The quantum Fourier transform transforms between computational basis (Z) and the Fourier basis.\n",
    "\n",
    "$$\n",
    "\\begin{align*}\n",
    "|\\text{State in Fourier Basis}\\rangle &= QFT |\\text{State in Computational Basis}\\rangle \\\\\n",
    "|\\tilde{x}\\rangle &= QFT |x\\rangle \n",
    "\\end{align*}\n",
    "$$"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Take Computational basis $|x\\rangle = |x_{n-1} x_{n-2}\\cdots x_1 x_0 \\rangle$, that is $\\alpha_j = 1$ for $j=x$ and $\\alpha_j = 0$ for $j \\neq x$.\n",
    "\n",
    "$$\n",
    "\\begin{align*}\n",
    "QFT|x\\rangle &= \\frac{1}{\\sqrt{2^n}} \\sum_{y=0}^{2^n-1} e^{\\frac{2\\pi i}{2^n}xy} |y\\rangle \\\\  \n",
    "&= \\frac{1}{\\sqrt{2^n}} \\sum_{y_{n-1}=0}^1 \\sum_{y_{n-2}=0}^1 \\cdots \\sum_{y_1=0}^1 \\sum_{y_0=0}^1 e^{\\frac{2\\pi i}{2^n}(\\sum_{k=0}^{n-1}2^{k}y_k) x} |y_{n-1} y_{n-2} \\cdots y_1 y_0 \\rangle \\\\\n",
    "&= \\frac{1}{\\sqrt{2^n}} \\sum_{y_{n-1}=0}^1 \\sum_{y_{n-2}=0}^1 \\cdots \\sum_{y_1=0}^1 \\sum_{y_0=0}^1 e^{2\\pi i(\\sum_{k=0}^{n-1} \\frac{y_k}{2^{n-k}}) x} |y_{n-1} y_{n-2} \\cdots y_1 y_0 \\rangle \\\\\n",
    "&= \\frac{1}{\\sqrt{2^n}} \\sum_{y_{n-1}=0}^1 \\sum_{y_{n-2}=0}^1 \\cdots \\sum_{y_1=0}^1 \\sum_{y_0=0}^1 \\prod_{k=0}^{n-1} e^{2\\pi i \\frac{y_k}{2^{n-k}} x } |y_{n-1} y_{n-2} \\cdots y_1 y_0 \\rangle \\\\\n",
    "&= \\frac{1}{\\sqrt{2^n}} \\sum_{y_{n-1}=0}^1 \\sum_{y_{n-2}=0}^1 \\cdots \\sum_{y_1=0}^1 \\sum_{y_0=0}^1 \n",
    "e^{2\\pi i \\frac{y_{n-1}}{2^1} x} |y_{n-1}\\rangle \\otimes\n",
    "e^{2\\pi i \\frac{y_{n-2}}{2^2} x} |y_{n-2}\\rangle \\otimes\n",
    "\\cdots \\otimes \n",
    "e^{2\\pi i \\frac{y_1}{2^{n-1}} x} |y_{1}\\rangle \\otimes\n",
    "e^{2\\pi i \\frac{y_0}{2^{n}} x} |y_{0}\\rangle \\\\\n",
    "&= \\frac{1}{\\sqrt{2^n}} \n",
    "\\sum_{y_{n-1}=0}^1 e^{2\\pi i \\frac{y_{n-1}}{2^1} x} |y_{n-1}\\rangle \\otimes\n",
    "\\sum_{y_{n-2}=0}^1 e^{2\\pi i \\frac{y_{n-2}}{2^2} x} |y_{n-2}\\rangle \\otimes\n",
    "\\cdots \\otimes \n",
    "\\sum_{y_1=0}^1 e^{2\\pi i \\frac{y_1}{2^{n-1}} x} |y_{1}\\rangle \\otimes\n",
    "\\sum_{y_0=0}^1 e^{2\\pi i \\frac{y_0}{2^{n}} x} |y_{0}\\rangle \\\\\n",
    "&= \\frac{1}{\\sqrt{2^n}} \n",
    "\\left[ |0\\rangle + e^{\\frac{2\\pi i}{2^1} x} |1\\rangle \\right] \\otimes\n",
    "\\left[ |0\\rangle + e^{\\frac{2\\pi i}{2^2} x} |1\\rangle \\right] \\otimes\n",
    "\\cdots \\otimes \n",
    "\\left[ |0\\rangle + e^{\\frac{2\\pi i}{2^{n-1}} x} |1\\rangle \\right] \\otimes\n",
    "\\left[ |0\\rangle + e^{\\frac{2\\pi i}{2^{n}} x} |1\\rangle \\right] \n",
    "\\end{align*}\n",
    "$$"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![n qubits qft](./images/n_qubits_qft1.png)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The circuit operates as below,\n",
    "\n",
    "### 1. H gate on most significant qubits $x_{n-1}$\n",
    "\n",
    "$H_{n-1}|x_{n-1}x_{n-2}x_{n-3}\\cdots x_1x_0\\rangle $\n",
    "\n",
    "$ = \\frac{1}{\\sqrt{2}}\\left[ |0\\rangle + e^{\\frac{2\\pi i}{2}x_{n-1}}|1\\rangle\\right] \n",
    "\\otimes |x_{n-2}x_{n-3}\\cdots x_1x_0\\rangle $\n",
    "\n",
    "### 2. Apply controlled $UROT_2$ on $x_{n-1}$\n",
    "\n",
    "$\\frac{1}{\\sqrt{2}}\\left[ |0\\rangle + e^{\\frac{2\\pi i}{2}x_{n-1} + \\frac{2\\pi i}{2^2}x_{n-2}}|1\\rangle\\right] \n",
    "\\otimes |x_{n-2}x_{n-3}\\cdots x_1x_0\\rangle $\n",
    "\n",
    "### 5. Apply a series of controlled $UROT_*$ gates on $x_{n-1}$\n",
    "\n",
    "$\\frac{1}{\\sqrt{2}}\\left[ |0\\rangle + e^{\\frac{2\\pi i}{2}x_{n-1} + \\frac{2\\pi i}{2^2}x_{n-2} + \\frac{2\\pi i}{2^3}x_{n-3} + \\cdots + \\frac{2\\pi i}{2^{n-1}}x_1 + \\frac{2\\pi i}{2^n}x_0}|1\\rangle\\right] \n",
    "\\otimes |x_{n-2}x_{n-3}\\cdots x_1x_0\\rangle $\n",
    "\n",
    "$ = \\frac{1}{\\sqrt{2}}\\left[ |0\\rangle + e^{\\frac{2\\pi i}{2^n}(2^{n-1}x_{n-1} + 2^{n-2}x_{n-2} + 2^n-{3}x_{n-3} + \\cdots + 2^1x_1 + 2^0x_0)}|1\\rangle\\right] \n",
    "\\otimes |x_{n-2}x_{n-3}\\cdots x_1x_0\\rangle $\n",
    "\n",
    "$ = \\frac{1}{\\sqrt{2}}\\left[ |0\\rangle + e^{\\frac{2\\pi i}{2^n}x}|1\\rangle\\right] \n",
    "\\otimes |x_{n-2}x_{n-3}\\cdots x_1x_0\\rangle $\n",
    "\n",
    "### 6. Apply H gate on $x_{n-2}$\n",
    "\n",
    "$ = \\frac{1}{\\sqrt{2}}\\left[ |0\\rangle + e^{\\frac{2\\pi i}{2^n}x}|1\\rangle\\right]\n",
    "\\frac{1}{\\sqrt{2}}\\left[ |0\\rangle + e^{\\frac{2\\pi i}{2}x_{n-2}}|1\\rangle\\right]\n",
    "\\otimes |x_{n-3}\\cdots x_1x_0\\rangle $\n",
    "\n",
    "### 9. Apply a series of controlled $UROT_*$ gates on $x_{n-2}$\n",
    "\n",
    "$\\frac{1}{\\sqrt{2}}\\left[ |0\\rangle + e^{\\frac{2\\pi i}{2^n}x}|1\\rangle\\right]\n",
    "\\frac{1}{\\sqrt{2}}\\left[ |0\\rangle + e^{\\frac{2\\pi i}{2}x_{n-2} + \\frac{2\\pi i}{2^2}x_{n-3} + \\cdots + \\frac{2\\pi i}{2^{n-2}}x_1 + \\frac{2\\pi i}{2^{n-1}}x_0}|1\\rangle\\right]\n",
    "\\otimes |x_{n-3}\\cdots x_1x_0\\rangle $\n",
    "\n",
    "$ = \\frac{1}{\\sqrt{2}}\\left[ |0\\rangle + e^{\\frac{2\\pi i}{2^n}x}|1\\rangle\\right]\n",
    "\\frac{1}{\\sqrt{2}}\\left[ |0\\rangle + e^{\n",
    "\\frac{2\\pi i}{2^{n-1}}(2^{n-2}x_{n-2} + 2^n-{3}x_{n-3} + \\cdots + 2^1x_1 + 2^0x_0)\n",
    "}|1\\rangle\\right]\n",
    "\\otimes |x_{n-3}\\cdots x_1x_0\\rangle $\n",
    "\n",
    "$ = \\frac{1}{\\sqrt{2}}\\left[ |0\\rangle + e^{\\frac{2\\pi i}{2^n}x}|1\\rangle\\right]\n",
    "\\frac{1}{\\sqrt{2}}\\left[ |0\\rangle + e^{\n",
    "\\frac{2\\pi i}{2^{n-1}}({\\color{red}{2^{n-1}x_{n-1}}} + 2^{n-2}x_{n-2} + 2^n-{3}x_{n-3} + \\cdots + 2^1x_1 + 2^0x_0)\n",
    "}|1\\rangle\\right]\n",
    "\\otimes |x_{n-3}\\cdots x_1x_0\\rangle $ the red term does not change the value of the exponent while simplify the equation\n",
    "\n",
    "$ = \\frac{1}{\\sqrt{2}}\\left[ |0\\rangle + e^{\\frac{2\\pi i}{2^n}x}|1\\rangle\\right]\n",
    "\\frac{1}{\\sqrt{2}}\\left[ |0\\rangle + e^{\n",
    "\\frac{2\\pi i}{2^{n-1}}x\n",
    "}|1\\rangle\\right]\n",
    "\\otimes |x_{n-3}\\cdots x_1x_0\\rangle $\n",
    "\n",
    "### 12. Similarly for $x_{n-3}$\n",
    "\n",
    "$\\frac{1}{\\sqrt{2}}\\left[ |0\\rangle + e^{\\frac{2\\pi i}{2^n}x}|1\\rangle\\right]\n",
    "\\frac{1}{\\sqrt{2}}\\left[ |0\\rangle + e^{\\frac{2\\pi i}{2^{n-1}}x}|1\\rangle\\right]\n",
    "\\frac{1}{\\sqrt{2}}\\left[ |0\\rangle + e^{\\frac{2\\pi i}{2^{n-2}}x}|1\\rangle\\right]\n",
    "\\otimes |x_{n-4} \\cdots x_1x_0\\rangle $\n",
    "\n",
    "### 15. Repeat until $x_{0}$\n",
    "\n",
    "$\\frac{1}{\\sqrt{2}}\\left[ |0\\rangle + e^{\\frac{2\\pi i}{2^n}x}|1\\rangle\\right]\n",
    "\\frac{1}{\\sqrt{2}}\\left[ |0\\rangle + e^{\\frac{2\\pi i}{2^{n-1}}x}|1\\rangle\\right]\n",
    "\\frac{1}{\\sqrt{2}}\\left[ |0\\rangle + e^{\\frac{2\\pi i}{2^{n-2}}x}|1\\rangle\\right]\n",
    "\\cdots\n",
    "\\frac{1}{\\sqrt{2}}\\left[ |0\\rangle + e^{\\frac{2\\pi i}{2^2}x}|1\\rangle\\right]\n",
    "\\frac{1}{\\sqrt{2}}\\left[ |0\\rangle + e^{\\frac{2\\pi i}{2^1}x}|1\\rangle\\right]\n",
    "$\n",
    "\n",
    "### 16. After all swap gates\n",
    "\n",
    "$\n",
    "\\frac{1}{\\sqrt{2}}\\left[ |0\\rangle + e^{\\frac{2\\pi i}{2^1}x}|1\\rangle\\right]\n",
    "\\frac{1}{\\sqrt{2}}\\left[ |0\\rangle + e^{\\frac{2\\pi i}{2^2}x}|1\\rangle\\right]\n",
    "\\cdots\n",
    "\\frac{1}{\\sqrt{2}}\\left[ |0\\rangle + e^{\\frac{2\\pi i}{2^{n-2}}x}|1\\rangle\\right]\n",
    "\\frac{1}{\\sqrt{2}}\\left[ |0\\rangle + e^{\\frac{2\\pi i}{2^{n-1}}x}|1\\rangle\\right]\n",
    "\\frac{1}{\\sqrt{2}}\\left[ |0\\rangle + e^{\\frac{2\\pi i}{2^n}x}|1\\rangle\\right]\n",
    "$\n",
    "\n",
    "$ = \n",
    "\\frac{1}{2^{n/2}}\\left[ |0\\rangle + e^{\\frac{2\\pi i}{2^1}x}|1\\rangle\\right]\n",
    "\\left[ |0\\rangle + e^{\\frac{2\\pi i}{2^2}x}|1\\rangle\\right]\n",
    "\\cdots\n",
    "\\left[ |0\\rangle + e^{\\frac{2\\pi i}{2^{n-2}}x}|1\\rangle\\right]\n",
    "\\left[ |0\\rangle + e^{\\frac{2\\pi i}{2^{n-1}}x}|1\\rangle\\right]\n",
    "\\left[ |0\\rangle + e^{\\frac{2\\pi i}{2^n}x}|1\\rangle\\right]\n",
    "$\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "from numpy import pi\n",
    "from qiskit import QuantumCircuit, Aer, transpile\n",
    "from qiskit.visualization import plot_histogram, plot_bloch_multivector\n",
    "from qiskit.circuit import QuantumRegister, ClassicalRegister"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
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       "<pre style=\"word-wrap: normal;white-space: pre;background: #fff0;line-height: 1.1;font-family: &quot;Courier New&quot;,Courier,monospace\">     ┌────────────────────┐ ░                                      ┌───┐   \n",
       "q_0: ┤0                   ├─░────────────────■─────────────■───────┤ H ├─X─\n",
       "     │                    │ ░                │       ┌───┐ │P(π/2) └───┘ │ \n",
       "q_1: ┤1 Initialize(1,0,1) ├─░───────■────────┼───────┤ H ├─■─────────────┼─\n",
       "     │                    │ ░ ┌───┐ │P(π/2)  │P(π/4) └───┘               │ \n",
       "q_2: ┤2                   ├─░─┤ H ├─■────────■───────────────────────────X─\n",
       "     └────────────────────┘ ░ └───┘                                        </pre>"
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       "     ┌────────────────────┐ ░                                      ┌───┐   \n",
       "q_0: ┤0                   ├─░────────────────■─────────────■───────┤ H ├─X─\n",
       "     │                    │ ░                │       ┌───┐ │P(π/2) └───┘ │ \n",
       "q_1: ┤1 Initialize(1,0,1) ├─░───────■────────┼───────┤ H ├─■─────────────┼─\n",
       "     │                    │ ░ ┌───┐ │P(π/2)  │P(π/4) └───┘               │ \n",
       "q_2: ┤2                   ├─░─┤ H ├─■────────■───────────────────────────X─\n",
       "     └────────────────────┘ ░ └───┘                                        "
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",
      "text/plain": [
       "<Figure size 1440x480 with 3 Axes>"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sim = Aer.get_backend('statevector_simulator')\n",
    "qc = QuantumCircuit(3)\n",
    "\n",
    "init_state = '101'\n",
    "qc.initialize(init_state)\n",
    "qc.barrier()\n",
    "\n",
    "qc.h(2)\n",
    "qc.cp(pi/2, 1, 2)\n",
    "qc.cp(pi/4, 0, 2)\n",
    "\n",
    "qc.h(1)\n",
    "qc.cp(pi/2, 0, 1)\n",
    "\n",
    "qc.h(0)\n",
    "\n",
    "qc.swap(0, 2)\n",
    "\n",
    "display(qc.draw())\n",
    "\n",
    "sv = sim.run(qc).result().get_statevector()\n",
    "plot_bloch_multivector(sv)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<pre style=\"word-wrap: normal;white-space: pre;background: #fff0;line-height: 1.1;font-family: &quot;Courier New&quot;,Courier,monospace\">     ┌────────────────────┐┌──────┐\n",
       "q_0: ┤0                   ├┤0     ├\n",
       "     │                    ││      │\n",
       "q_1: ┤1 Initialize(1,0,1) ├┤1 QFT ├\n",
       "     │                    ││      │\n",
       "q_2: ┤2                   ├┤2     ├\n",
       "     └────────────────────┘└──────┘</pre>"
      ],
      "text/plain": [
       "     ┌────────────────────┐┌──────┐\n",
       "q_0: ┤0                   ├┤0     ├\n",
       "     │                    ││      │\n",
       "q_1: ┤1 Initialize(1,0,1) ├┤1 QFT ├\n",
       "     │                    ││      │\n",
       "q_2: ┤2                   ├┤2     ├\n",
       "     └────────────────────┘└──────┘"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/thyung/opt/anaconda3/envs/qiskit_env/lib/python3.10/site-packages/numpy/linalg/linalg.py:2154: RuntimeWarning: divide by zero encountered in det\n",
      "  r = _umath_linalg.det(a, signature=signature)\n",
      "/Users/thyung/opt/anaconda3/envs/qiskit_env/lib/python3.10/site-packages/numpy/linalg/linalg.py:2154: RuntimeWarning: invalid value encountered in det\n",
      "  r = _umath_linalg.det(a, signature=signature)\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1440x480 with 3 Axes>"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from qiskit.circuit.library import QFT\n",
    "\n",
    "qc2 = QuantumCircuit(3)\n",
    "qc2.initialize(init_state)\n",
    "qc2.append(QFT(num_qubits=3), [0, 1, 2])\n",
    "display(qc2.draw())\n",
    "sv2 = sim.run(transpile(qc2, sim)).result().get_statevector()\n",
    "plot_bloch_multivector(sv2)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "# implement general QFT\n",
    "\n",
    "def myqft(n):\n",
    "    qc = QuantumCircuit(n)\n",
    "    for i in reversed(range(n)):\n",
    "        qc.h(i)\n",
    "        for e, j in enumerate(reversed(range(i))):\n",
    "            qc.cp(pi/2**(e+1), j, i)\n",
    "    for i in range(n//2):\n",
    "        qc.swap(i, n-i-1)\n",
    "    return qc.to_gate(label='myqft{}'.format(n))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<pre style=\"word-wrap: normal;white-space: pre;background: #fff0;line-height: 1.1;font-family: &quot;Courier New&quot;,Courier,monospace\">     ┌────────────────────┐┌─────────┐\n",
       "q_0: ┤0                   ├┤0        ├\n",
       "     │                    ││         │\n",
       "q_1: ┤1 Initialize(1,0,1) ├┤1 myqft3 ├\n",
       "     │                    ││         │\n",
       "q_2: ┤2                   ├┤2        ├\n",
       "     └────────────────────┘└─────────┘</pre>"
      ],
      "text/plain": [
       "     ┌────────────────────┐┌─────────┐\n",
       "q_0: ┤0                   ├┤0        ├\n",
       "     │                    ││         │\n",
       "q_1: ┤1 Initialize(1,0,1) ├┤1 myqft3 ├\n",
       "     │                    ││         │\n",
       "q_2: ┤2                   ├┤2        ├\n",
       "     └────────────────────┘└─────────┘"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1440x480 with 3 Axes>"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "qc3 = QuantumCircuit(3)\n",
    "qc3.initialize(init_state)\n",
    "qc3.append(myqft(3), [0, 1, 2])\n",
    "display(qc3.draw())\n",
    "sv3 = sim.run(transpile(qc3, sim)).result().get_statevector()\n",
    "plot_bloch_multivector(sv3)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Create Exponentiation Modulo N circuit\n",
    "Refer to Vlatko Vedral, Adriano Barenco and Artur Ekert, Quantum Networks for Elementary Arithmetic Operations, create the support functions to generate the circuit for $a^x mod \\, N$.\n",
    "\n",
    "Also refer to the quantum circuits in https://quantumcomputing.stackexchange.com/questions/6842/is-there-a-simple-formulaic-way-to-construct-a-modular-exponentiation-circuit\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "def create_carrier(name=None):\n",
    "    qc = QuantumCircuit(4)\n",
    "    qc.toffoli(1, 2, 3)\n",
    "    qc.cx(1, 2)\n",
    "    qc.toffoli(0, 2, 3)\n",
    "    return qc.to_gate(label=name or 'carrier')\n",
    "\n",
    "def create_carrier_inv(name=None):\n",
    "    qc = QuantumCircuit(4)\n",
    "    qc.append(create_carrier().inverse(), range(4))\n",
    "    return qc.to_gate(label=name or 'carrier_inv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "def create_sum(name=None):\n",
    "    qc = QuantumCircuit(3)\n",
    "    qc.cx(1, 2)\n",
    "    qc.cx(0, 2)\n",
    "    return qc.to_gate(label=name or 'sum')\n",
    "\n",
    "def create_sum_inv(name=None):\n",
    "    qc = QuantumCircuit(3)\n",
    "    qc.append(create_sum().inverse(), range(3))\n",
    "    return qc.to_gate(label=name or 'sum_inv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<pre style=\"word-wrap: normal;white-space: pre;background: #fff0;line-height: 1.1;font-family: &quot;Courier New&quot;,Courier,monospace\">        ┌───┐┌──────────┐                                                     »\n",
       "   a_0: ┤ X ├┤1         ├─────────────────────────────────────────────────────»\n",
       "        ├───┤│          │┌──────────┐                         ┌──────────────┐»\n",
       "   a_1: ┤ X ├┤          ├┤1         ├─────────────────────────┤1             ├»\n",
       "        └───┘│          ││          │┌──────────┐     ┌──────┐│              │»\n",
       "   a_2: ─────┤          ├┤          ├┤1         ├──■──┤1     ├┤              ├»\n",
       "             │          ││          ││          │  │  │      ││              │»\n",
       "   b_0: ─────┤2         ├┤          ├┤          ├──┼──┤      ├┤              ├»\n",
       "        ┌───┐│          ││          ││          │  │  │      ││              │»\n",
       "   b_1: ┤ X ├┤  carrier ├┤2         ├┤          ├──┼──┤      ├┤2             ├»\n",
       "        ├───┤│          ││          ││          │┌─┴─┐│      ││              │»\n",
       "   b_2: ┤ X ├┤          ├┤  carrier ├┤2         ├┤ X ├┤2     ├┤  carrier_inv ├»\n",
       "        └───┘│          ││          ││  carrier │└───┘│  sum ││              │»\n",
       "   b_3: ─────┤          ├┤          ├┤3         ├─────┤      ├┤              ├»\n",
       "             │          ││          ││          │     │      ││              │»\n",
       "   c_0: ─────┤0         ├┤          ├┤          ├─────┤      ├┤              ├»\n",
       "             │          ││          ││          │     │      ││              │»\n",
       "   c_1: ─────┤3         ├┤0         ├┤          ├─────┤      ├┤0             ├»\n",
       "             └──────────┘│          ││          │     │      ││              │»\n",
       "   c_2: ─────────────────┤3         ├┤0         ├─────┤0     ├┤3             ├»\n",
       "                         └──────────┘└──────────┘     └──────┘└──────────────┘»\n",
       "creg: 4/══════════════════════════════════════════════════════════════════════»\n",
       "                                                                              »\n",
       "«                ┌──────────────┐┌──────┐ ░             \n",
       "«   a_0: ────────┤1             ├┤1     ├─░─────────────\n",
       "«        ┌──────┐│              ││      │ ░             \n",
       "«   a_1: ┤1     ├┤              ├┤      ├─░─────────────\n",
       "«        │      ││              ││      │ ░             \n",
       "«   a_2: ┤      ├┤              ├┤      ├─░─────────────\n",
       "«        │      ││              ││      │ ░ ┌─┐         \n",
       "«   b_0: ┤      ├┤2             ├┤2     ├─░─┤M├─────────\n",
       "«        │      ││              ││  sum │ ░ └╥┘┌─┐      \n",
       "«   b_1: ┤2     ├┤  carrier_inv ├┤      ├─░──╫─┤M├──────\n",
       "«        │  sum ││              ││      │ ░  ║ └╥┘┌─┐   \n",
       "«   b_2: ┤      ├┤              ├┤      ├─░──╫──╫─┤M├───\n",
       "«        │      ││              ││      │ ░  ║  ║ └╥┘┌─┐\n",
       "«   b_3: ┤      ├┤              ├┤      ├─░──╫──╫──╫─┤M├\n",
       "«        │      ││              ││      │ ░  ║  ║  ║ └╥┘\n",
       "«   c_0: ┤      ├┤0             ├┤0     ├─░──╫──╫──╫──╫─\n",
       "«        │      ││              │└──────┘ ░  ║  ║  ║  ║ \n",
       "«   c_1: ┤0     ├┤3             ├─────────░──╫──╫──╫──╫─\n",
       "«        └──────┘└──────────────┘         ░  ║  ║  ║  ║ \n",
       "«   c_2: ─────────────────────────────────░──╫──╫──╫──╫─\n",
       "«                                         ░  ║  ║  ║  ║ \n",
       "«creg: 4/════════════════════════════════════╩══╩══╩══╩═\n",
       "«                                            0  1  2  3 </pre>"
      ],
      "text/plain": [
       "        ┌───┐┌──────────┐                                                     »\n",
       "   a_0: ┤ X ├┤1         ├─────────────────────────────────────────────────────»\n",
       "        ├───┤│          │┌──────────┐                         ┌──────────────┐»\n",
       "   a_1: ┤ X ├┤          ├┤1         ├─────────────────────────┤1             ├»\n",
       "        └───┘│          ││          │┌──────────┐     ┌──────┐│              │»\n",
       "   a_2: ─────┤          ├┤          ├┤1         ├──■──┤1     ├┤              ├»\n",
       "             │          ││          ││          │  │  │      ││              │»\n",
       "   b_0: ─────┤2         ├┤          ├┤          ├──┼──┤      ├┤              ├»\n",
       "        ┌───┐│          ││          ││          │  │  │      ││              │»\n",
       "   b_1: ┤ X ├┤  carrier ├┤2         ├┤          ├──┼──┤      ├┤2             ├»\n",
       "        ├───┤│          ││          ││          │┌─┴─┐│      ││              │»\n",
       "   b_2: ┤ X ├┤          ├┤  carrier ├┤2         ├┤ X ├┤2     ├┤  carrier_inv ├»\n",
       "        └───┘│          ││          ││  carrier │└───┘│  sum ││              │»\n",
       "   b_3: ─────┤          ├┤          ├┤3         ├─────┤      ├┤              ├»\n",
       "             │          ││          ││          │     │      ││              │»\n",
       "   c_0: ─────┤0         ├┤          ├┤          ├─────┤      ├┤              ├»\n",
       "             │          ││          ││          │     │      ││              │»\n",
       "   c_1: ─────┤3         ├┤0         ├┤          ├─────┤      ├┤0             ├»\n",
       "             └──────────┘│          ││          │     │      ││              │»\n",
       "   c_2: ─────────────────┤3         ├┤0         ├─────┤0     ├┤3             ├»\n",
       "                         └──────────┘└──────────┘     └──────┘└──────────────┘»\n",
       "creg: 4/══════════════════════════════════════════════════════════════════════»\n",
       "                                                                              »\n",
       "«                ┌──────────────┐┌──────┐ ░             \n",
       "«   a_0: ────────┤1             ├┤1     ├─░─────────────\n",
       "«        ┌──────┐│              ││      │ ░             \n",
       "«   a_1: ┤1     ├┤              ├┤      ├─░─────────────\n",
       "«        │      ││              ││      │ ░             \n",
       "«   a_2: ┤      ├┤              ├┤      ├─░─────────────\n",
       "«        │      ││              ││      │ ░ ┌─┐         \n",
       "«   b_0: ┤      ├┤2             ├┤2     ├─░─┤M├─────────\n",
       "«        │      ││              ││  sum │ ░ └╥┘┌─┐      \n",
       "«   b_1: ┤2     ├┤  carrier_inv ├┤      ├─░──╫─┤M├──────\n",
       "«        │  sum ││              ││      │ ░  ║ └╥┘┌─┐   \n",
       "«   b_2: ┤      ├┤              ├┤      ├─░──╫──╫─┤M├───\n",
       "«        │      ││              ││      │ ░  ║  ║ └╥┘┌─┐\n",
       "«   b_3: ┤      ├┤              ├┤      ├─░──╫──╫──╫─┤M├\n",
       "«        │      ││              ││      │ ░  ║  ║  ║ └╥┘\n",
       "«   c_0: ┤      ├┤0             ├┤0     ├─░──╫──╫──╫──╫─\n",
       "«        │      ││              │└──────┘ ░  ║  ║  ║  ║ \n",
       "«   c_1: ┤0     ├┤3             ├─────────░──╫──╫──╫──╫─\n",
       "«        └──────┘└──────────────┘         ░  ║  ║  ║  ║ \n",
       "«   c_2: ─────────────────────────────────░──╫──╫──╫──╫─\n",
       "«                                         ░  ║  ║  ║  ║ \n",
       "«creg: 4/════════════════════════════════════╩══╩══╩══╩═\n",
       "«                                            0  1  2  3 "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'1001': 1024}\n"
     ]
    }
   ],
   "source": [
    "a = QuantumRegister(3, 'a')\n",
    "b = QuantumRegister(4, 'b')\n",
    "c = QuantumRegister(3, 'c')\n",
    "creg = ClassicalRegister(4, 'creg')\n",
    "qc = QuantumCircuit(a, b, c, creg)\n",
    "qc.x(a[0])\n",
    "qc.x(a[1])\n",
    "qc.x(b[1])\n",
    "qc.x(b[2])\n",
    "qc.append(create_carrier(), [c[0], a[0], b[0], c[1]])\n",
    "qc.append(create_carrier(), [c[1], a[1], b[1], c[2]])\n",
    "qc.append(create_carrier(), [c[2], a[2], b[2], b[3]])\n",
    "qc.cx(a[2], b[2])\n",
    "qc.append(create_sum(), [c[2], a[2], b[2]])\n",
    "qc.append(create_carrier_inv(), [c[1], a[1], b[1], c[2]])\n",
    "qc.append(create_sum(), [c[1], a[1], b[1]])\n",
    "qc.append(create_carrier_inv(), [c[0], a[0], b[0], c[1]])\n",
    "qc.append(create_sum(), [c[0], a[0], b[0]])\n",
    "qc.barrier()\n",
    "qc.measure(b, creg)\n",
    "display(qc.draw())\n",
    "backend = Aer.get_backend('qasm_simulator')\n",
    "job = backend.run(transpile(qc, backend), shots=1024)\n",
    "counts = job.result().get_counts()\n",
    "print(counts)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "def create_adder(n):\n",
    "    \"\"\"create adder with n bits a, n+1 bits b and n bits carrier\"\"\"\n",
    "    a = QuantumRegister(n, 'a')\n",
    "    b = QuantumRegister(n+1, 'b')\n",
    "    c = QuantumRegister(n, 'c')\n",
    "    qc = QuantumCircuit(a, b, c)\n",
    "    for i in range(n-1):\n",
    "        qc.append(create_carrier(), [c[i], a[i], b[i], c[i+1]])\n",
    "    qc.append(create_carrier(), [c[n-1], a[n-1], b[n-1], b[n]])\n",
    "    qc.cx(a[n-1], b[n-1])\n",
    "    qc.append(create_sum(), [c[n-1], a[n-1], b[n-1]])\n",
    "    for i in reversed(range(n-1)):\n",
    "        qc.append(create_carrier_inv(), [c[i], a[i], b[i], c[i+1]])\n",
    "        qc.append(create_sum(), [c[i], a[i], b[i]])\n",
    "    return qc.to_gate(label='adder')\n",
    "\n",
    "def create_adder_inv(n):\n",
    "    qc = QuantumCircuit(3*n+1)\n",
    "    qc.append(create_adder(n).inverse(), range(3*n+1))\n",
    "    return qc.to_gate(label='adder_inv')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<pre style=\"word-wrap: normal;white-space: pre;background: #fff0;line-height: 1.1;font-family: &quot;Courier New&quot;,Courier,monospace\">     ┌───┐┌────────┐            \n",
       "q_0: ┤ X ├┤0       ├────────────\n",
       "     ├───┤│        │            \n",
       "q_1: ┤ X ├┤1       ├────────────\n",
       "     └───┘│        │            \n",
       "q_2: ─────┤2       ├────────────\n",
       "          │        │┌─┐         \n",
       "q_3: ─────┤3       ├┤M├─────────\n",
       "     ┌───┐│        │└╥┘┌─┐      \n",
       "q_4: ┤ X ├┤4       ├─╫─┤M├──────\n",
       "     ├───┤│  adder │ ║ └╥┘┌─┐   \n",
       "q_5: ┤ X ├┤5       ├─╫──╫─┤M├───\n",
       "     └───┘│        │ ║  ║ └╥┘┌─┐\n",
       "q_6: ─────┤6       ├─╫──╫──╫─┤M├\n",
       "          │        │ ║  ║  ║ └╥┘\n",
       "q_7: ─────┤7       ├─╫──╫──╫──╫─\n",
       "          │        │ ║  ║  ║  ║ \n",
       "q_8: ─────┤8       ├─╫──╫──╫──╫─\n",
       "          │        │ ║  ║  ║  ║ \n",
       "q_9: ─────┤9       ├─╫──╫──╫──╫─\n",
       "          └────────┘ ║  ║  ║  ║ \n",
       "c: 4/════════════════╩══╩══╩══╩═\n",
       "                     0  1  2  3 </pre>"
      ],
      "text/plain": [
       "     ┌───┐┌────────┐            \n",
       "q_0: ┤ X ├┤0       ├────────────\n",
       "     ├───┤│        │            \n",
       "q_1: ┤ X ├┤1       ├────────────\n",
       "     └───┘│        │            \n",
       "q_2: ─────┤2       ├────────────\n",
       "          │        │┌─┐         \n",
       "q_3: ─────┤3       ├┤M├─────────\n",
       "     ┌───┐│        │└╥┘┌─┐      \n",
       "q_4: ┤ X ├┤4       ├─╫─┤M├──────\n",
       "     ├───┤│  adder │ ║ └╥┘┌─┐   \n",
       "q_5: ┤ X ├┤5       ├─╫──╫─┤M├───\n",
       "     └───┘│        │ ║  ║ └╥┘┌─┐\n",
       "q_6: ─────┤6       ├─╫──╫──╫─┤M├\n",
       "          │        │ ║  ║  ║ └╥┘\n",
       "q_7: ─────┤7       ├─╫──╫──╫──╫─\n",
       "          │        │ ║  ║  ║  ║ \n",
       "q_8: ─────┤8       ├─╫──╫──╫──╫─\n",
       "          │        │ ║  ║  ║  ║ \n",
       "q_9: ─────┤9       ├─╫──╫──╫──╫─\n",
       "          └────────┘ ║  ║  ║  ║ \n",
       "c: 4/════════════════╩══╩══╩══╩═\n",
       "                     0  1  2  3 "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'1001': 1024}\n"
     ]
    }
   ],
   "source": [
    "qc = QuantumCircuit(10, 4)\n",
    "qc.x(0)\n",
    "qc.x(1)\n",
    "qc.x(4)\n",
    "qc.x(5)\n",
    "qc.append(create_adder(3), range(10))\n",
    "qc.measure([3, 4, 5, 6], range(4))\n",
    "display(qc.draw())\n",
    "backend = Aer.get_backend('qasm_simulator')\n",
    "job = backend.run(transpile(qc, backend), shots=1024)\n",
    "counts = job.result().get_counts()\n",
    "print(counts)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "def create_adder_mod(n, bigN):\n",
    "    \"\"\"\n",
    "    :param n: number of bits for a, c and bigN; b has n+1 bits\n",
    "    :param bigN: mod number\n",
    "    :return: Gate of 4n+2 qubits\n",
    "        0-2 qubits for a\n",
    "        3-6 qubits for b\n",
    "        7-9 qubits for c (init to 0)\n",
    "        10-12 qubits for bigN (init to bigN when use)\n",
    "        13 qubit for temp (init to 0)\n",
    "    \"\"\"\n",
    "    a = QuantumRegister(n, 'a')\n",
    "    b = QuantumRegister(n+1, 'b')\n",
    "    c = QuantumRegister(n, 'c')\n",
    "    bN = QuantumRegister(n, 'bigN')\n",
    "    t = QuantumRegister(1, 't')\n",
    "    qc = QuantumCircuit(a, b, c, bN, t)\n",
    "    # block 1\n",
    "    qc.append(create_adder(n), list(a)+list(b)+list(c))\n",
    "    for i in range(n):\n",
    "        qc.swap(a[i], bN[i])\n",
    "    qc.append(create_adder_inv(n), list(a)+list(b)+list(c))\n",
    "    qc.x(b[n])\n",
    "    qc.cx(b[n], t[0])\n",
    "    qc.x(b[n])\n",
    "    tempN = bigN\n",
    "    i = 0\n",
    "    while tempN != 0:\n",
    "        if tempN % 2 != 0:\n",
    "            qc.cx(t[0], a[i])\n",
    "        i = i + 1\n",
    "        tempN = tempN // 2\n",
    "    qc.append(create_adder(n), list(a)+list(b)+list(c))\n",
    "    tempN = bigN\n",
    "    i = 0\n",
    "    while tempN != 0:\n",
    "        if tempN % 2 != 0:\n",
    "            qc.cx(t[0], a[i])\n",
    "        i = i + 1\n",
    "        tempN = tempN // 2\n",
    "    for i in range(n):\n",
    "        qc.swap(a[i], bN[i])\n",
    "    # block 2\n",
    "    qc.append(create_adder_inv(n), list(a)+list(b)+list(c))\n",
    "    qc.cx(b[n], t[0])\n",
    "    qc.append(create_adder(n), list(a)+list(b)+list(c))\n",
    "    #display(qc.draw())\n",
    "    return qc.to_gate(label='adder_mod')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<pre style=\"word-wrap: normal;white-space: pre;background: #fff0;line-height: 1.1;font-family: &quot;Courier New&quot;,Courier,monospace\">             ┌─────────────┐            \n",
       "   a_0: ─────┤0            ├────────────\n",
       "             │             │            \n",
       "   a_1: ─────┤1            ├────────────\n",
       "        ┌───┐│             │            \n",
       "   a_2: ┤ X ├┤2            ├────────────\n",
       "        └───┘│             │┌─┐         \n",
       "   b_0: ─────┤3            ├┤M├─────────\n",
       "             │             │└╥┘┌─┐      \n",
       "   b_1: ─────┤4            ├─╫─┤M├──────\n",
       "        ┌───┐│             │ ║ └╥┘┌─┐   \n",
       "   b_2: ┤ X ├┤5            ├─╫──╫─┤M├───\n",
       "        └───┘│             │ ║  ║ └╥┘┌─┐\n",
       "   b_3: ─────┤6            ├─╫──╫──╫─┤M├\n",
       "             │   adder_mod │ ║  ║  ║ └╥┘\n",
       "   c_0: ─────┤7            ├─╫──╫──╫──╫─\n",
       "             │             │ ║  ║  ║  ║ \n",
       "   c_1: ─────┤8            ├─╫──╫──╫──╫─\n",
       "             │             │ ║  ║  ║  ║ \n",
       "   c_2: ─────┤9            ├─╫──╫──╫──╫─\n",
       "        ┌───┐│             │ ║  ║  ║  ║ \n",
       "bigN_0: ┤ X ├┤10           ├─╫──╫──╫──╫─\n",
       "        └───┘│             │ ║  ║  ║  ║ \n",
       "bigN_1: ─────┤11           ├─╫──╫──╫──╫─\n",
       "        ┌───┐│             │ ║  ║  ║  ║ \n",
       "bigN_2: ┤ X ├┤12           ├─╫──╫──╫──╫─\n",
       "        └───┘│             │ ║  ║  ║  ║ \n",
       "     t: ─────┤13           ├─╫──╫──╫──╫─\n",
       "             └─────────────┘ ║  ║  ║  ║ \n",
       "creg: 4/═════════════════════╩══╩══╩══╩═\n",
       "                             0  1  2  3 </pre>"
      ],
      "text/plain": [
       "             ┌─────────────┐            \n",
       "   a_0: ─────┤0            ├────────────\n",
       "             │             │            \n",
       "   a_1: ─────┤1            ├────────────\n",
       "        ┌───┐│             │            \n",
       "   a_2: ┤ X ├┤2            ├────────────\n",
       "        └───┘│             │┌─┐         \n",
       "   b_0: ─────┤3            ├┤M├─────────\n",
       "             │             │└╥┘┌─┐      \n",
       "   b_1: ─────┤4            ├─╫─┤M├──────\n",
       "        ┌───┐│             │ ║ └╥┘┌─┐   \n",
       "   b_2: ┤ X ├┤5            ├─╫──╫─┤M├───\n",
       "        └───┘│             │ ║  ║ └╥┘┌─┐\n",
       "   b_3: ─────┤6            ├─╫──╫──╫─┤M├\n",
       "             │   adder_mod │ ║  ║  ║ └╥┘\n",
       "   c_0: ─────┤7            ├─╫──╫──╫──╫─\n",
       "             │             │ ║  ║  ║  ║ \n",
       "   c_1: ─────┤8            ├─╫──╫──╫──╫─\n",
       "             │             │ ║  ║  ║  ║ \n",
       "   c_2: ─────┤9            ├─╫──╫──╫──╫─\n",
       "        ┌───┐│             │ ║  ║  ║  ║ \n",
       "bigN_0: ┤ X ├┤10           ├─╫──╫──╫──╫─\n",
       "        └───┘│             │ ║  ║  ║  ║ \n",
       "bigN_1: ─────┤11           ├─╫──╫──╫──╫─\n",
       "        ┌───┐│             │ ║  ║  ║  ║ \n",
       "bigN_2: ┤ X ├┤12           ├─╫──╫──╫──╫─\n",
       "        └───┘│             │ ║  ║  ║  ║ \n",
       "     t: ─────┤13           ├─╫──╫──╫──╫─\n",
       "             └─────────────┘ ║  ║  ║  ║ \n",
       "creg: 4/═════════════════════╩══╩══╩══╩═\n",
       "                             0  1  2  3 "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'0011': 1024}\n"
     ]
    }
   ],
   "source": [
    "n = 3\n",
    "bigN = 5\n",
    "#qc = QuantumCircuit(4*n+2)\n",
    "a = QuantumRegister(n, 'a')\n",
    "b = QuantumRegister(n+1, 'b')\n",
    "c = QuantumRegister(n, 'c')\n",
    "bN = QuantumRegister(n, 'bigN')\n",
    "t = QuantumRegister(1, 't')\n",
    "creg = ClassicalRegister(4, 'creg')\n",
    "qc = QuantumCircuit(a, b, c, bN, t, creg)\n",
    "# qc.x(a[0]) # a = 3\n",
    "# qc.x(a[1])\n",
    "qc.x(a[2]) # a = 4\n",
    "qc.x(b[2]) # b = 4\n",
    "qc.x(bN[0])\n",
    "qc.x(bN[2]) # bN = 5\n",
    "qc.append(create_adder_mod(n, bigN), list(a) + list(b) + list(c) + list(bN) + list(t))\n",
    "qc.measure(b, creg)\n",
    "display(qc.draw())\n",
    "backend = Aer.get_backend('qasm_simulator')\n",
    "job = backend.run(transpile(qc, backend), shots=1024)\n",
    "counts = job.result().get_counts()\n",
    "print(counts)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "def create_ctrl_mult_mod(n, bigN, m):\n",
    "    \"\"\"\n",
    "    Calculate zm mod N and output to b\n",
    "\n",
    "    :param n: number of bits for a, c and bigN; b has n+1 bits\n",
    "    :param bigN: mod number\n",
    "    :param m: multiplier\n",
    "    :return: Gate of 4n+2 qubits\n",
    "        0 (1 qubit) for x\n",
    "        1 to n (n qubits) for z\n",
    "        n+1 to 2n (n qubits) for a\n",
    "        2n+1 to 3n+1 (n+1 qubits) for b\n",
    "        3n+2 to 4n+1 (n qubits) for c (init to 0)\n",
    "        4n+2 to 5n+1 (n qubits) for bigN (init to bigN when use)\n",
    "        5n+2 (1 qubit) for temp (init to 0)\n",
    "    \"\"\"\n",
    "    x = QuantumRegister(1, 'x')\n",
    "    z = QuantumRegister(n, 'z')\n",
    "    a = QuantumRegister(n, 'a')\n",
    "    b = QuantumRegister(n+1, 'b')\n",
    "    c = QuantumRegister(n, 'c')\n",
    "    bN = QuantumRegister(n, 'bN')\n",
    "    t = QuantumRegister(1, 't')\n",
    "    qc = QuantumCircuit(x, z, a, b, c, bN, t)\n",
    "    next_mod = m # m 2^0 mod N\n",
    "    for j in range(n):\n",
    "        temp_mod = next_mod\n",
    "        i = 0\n",
    "        while temp_mod != 0:\n",
    "            if temp_mod % 2 != 0:\n",
    "                qc.ccx(x[0], z[j], a[i])\n",
    "            i = i + 1\n",
    "            temp_mod = temp_mod // 2\n",
    "\n",
    "        qc.append(create_adder_mod(n, bigN), list(a) + list(b) + list(c) + list(bN) + list(t))\n",
    "\n",
    "        temp_mod = next_mod\n",
    "        i = 0\n",
    "        while temp_mod != 0:\n",
    "            if temp_mod % 2 != 0:\n",
    "                qc.ccx(x[0], z[j], a[i])\n",
    "            i = i + 1\n",
    "            temp_mod = temp_mod // 2\n",
    "    \n",
    "        next_mod = (next_mod * 2) % bigN # update for m 2^i+1 mod N \n",
    "    \n",
    "    qc.x(x[0])\n",
    "    for j in range(n):\n",
    "        qc.ccx(x[0], z[j], b[j])\n",
    "    qc.x(x[0])\n",
    "\n",
    "    # display(qc.draw())\n",
    "    return qc.to_gate(label='ctrl_mult_mod')\n",
    "\n",
    "def create_ctrl_mult_mod_inv(n, bigN, m):\n",
    "    qc = QuantumCircuit(5*n+3)\n",
    "    qc.append(create_ctrl_mult_mod(n, bigN, m).inverse(), range(5*n+3))\n",
    "    return qc.to_gate(label='ctrl_mult_mod_inv')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<pre style=\"word-wrap: normal;white-space: pre;background: #fff0;line-height: 1.1;font-family: &quot;Courier New&quot;,Courier,monospace\">        ┌───┐┌─────────────────┐         \n",
       "     x: ┤ X ├┤0                ├─────────\n",
       "        ├───┤│                 │         \n",
       "   z_0: ┤ X ├┤1                ├─────────\n",
       "        ├───┤│                 │         \n",
       "   z_1: ┤ X ├┤2                ├─────────\n",
       "        └───┘│                 │         \n",
       "   z_2: ─────┤3                ├─────────\n",
       "             │                 │         \n",
       "   a_0: ─────┤4                ├─────────\n",
       "             │                 │         \n",
       "   a_1: ─────┤5                ├─────────\n",
       "             │                 │         \n",
       "   a_2: ─────┤6                ├─────────\n",
       "             │                 │┌─┐      \n",
       "   b_0: ─────┤7                ├┤M├──────\n",
       "             │                 │└╥┘┌─┐   \n",
       "   b_1: ─────┤8                ├─╫─┤M├───\n",
       "             │   ctrl_mult_mod │ ║ └╥┘┌─┐\n",
       "   b_2: ─────┤9                ├─╫──╫─┤M├\n",
       "             │                 │ ║  ║ └╥┘\n",
       "   b_3: ─────┤10               ├─╫──╫──╫─\n",
       "             │                 │ ║  ║  ║ \n",
       "   c_0: ─────┤11               ├─╫──╫──╫─\n",
       "             │                 │ ║  ║  ║ \n",
       "   c_1: ─────┤12               ├─╫──╫──╫─\n",
       "             │                 │ ║  ║  ║ \n",
       "   c_2: ─────┤13               ├─╫──╫──╫─\n",
       "        ┌───┐│                 │ ║  ║  ║ \n",
       "  bN_0: ┤ X ├┤14               ├─╫──╫──╫─\n",
       "        └───┘│                 │ ║  ║  ║ \n",
       "  bN_1: ─────┤15               ├─╫──╫──╫─\n",
       "        ┌───┐│                 │ ║  ║  ║ \n",
       "  bN_2: ┤ X ├┤16               ├─╫──╫──╫─\n",
       "        └───┘│                 │ ║  ║  ║ \n",
       "     t: ─────┤17               ├─╫──╫──╫─\n",
       "             └─────────────────┘ ║  ║  ║ \n",
       "creg: 3/═════════════════════════╩══╩══╩═\n",
       "                                 0  1  2 </pre>"
      ],
      "text/plain": [
       "        ┌───┐┌─────────────────┐         \n",
       "     x: ┤ X ├┤0                ├─────────\n",
       "        ├───┤│                 │         \n",
       "   z_0: ┤ X ├┤1                ├─────────\n",
       "        ├───┤│                 │         \n",
       "   z_1: ┤ X ├┤2                ├─────────\n",
       "        └───┘│                 │         \n",
       "   z_2: ─────┤3                ├─────────\n",
       "             │                 │         \n",
       "   a_0: ─────┤4                ├─────────\n",
       "             │                 │         \n",
       "   a_1: ─────┤5                ├─────────\n",
       "             │                 │         \n",
       "   a_2: ─────┤6                ├─────────\n",
       "             │                 │┌─┐      \n",
       "   b_0: ─────┤7                ├┤M├──────\n",
       "             │                 │└╥┘┌─┐   \n",
       "   b_1: ─────┤8                ├─╫─┤M├───\n",
       "             │   ctrl_mult_mod │ ║ └╥┘┌─┐\n",
       "   b_2: ─────┤9                ├─╫──╫─┤M├\n",
       "             │                 │ ║  ║ └╥┘\n",
       "   b_3: ─────┤10               ├─╫──╫──╫─\n",
       "             │                 │ ║  ║  ║ \n",
       "   c_0: ─────┤11               ├─╫──╫──╫─\n",
       "             │                 │ ║  ║  ║ \n",
       "   c_1: ─────┤12               ├─╫──╫──╫─\n",
       "             │                 │ ║  ║  ║ \n",
       "   c_2: ─────┤13               ├─╫──╫──╫─\n",
       "        ┌───┐│                 │ ║  ║  ║ \n",
       "  bN_0: ┤ X ├┤14               ├─╫──╫──╫─\n",
       "        └───┘│                 │ ║  ║  ║ \n",
       "  bN_1: ─────┤15               ├─╫──╫──╫─\n",
       "        ┌───┐│                 │ ║  ║  ║ \n",
       "  bN_2: ┤ X ├┤16               ├─╫──╫──╫─\n",
       "        └───┘│                 │ ║  ║  ║ \n",
       "     t: ─────┤17               ├─╫──╫──╫─\n",
       "             └─────────────────┘ ║  ║  ║ \n",
       "creg: 3/═════════════════════════╩══╩══╩═\n",
       "                                 0  1  2 "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'100': 1024}\n"
     ]
    }
   ],
   "source": [
    "n = 3\n",
    "bigN = 5\n",
    "m = 3\n",
    "x = QuantumRegister(1, 'x')\n",
    "z = QuantumRegister(n, 'z')\n",
    "a = QuantumRegister(n, 'a')\n",
    "b = QuantumRegister(n+1, 'b')\n",
    "c = QuantumRegister(n, 'c')\n",
    "bN = QuantumRegister(n, 'bN')\n",
    "t = QuantumRegister(1, 't')\n",
    "creg = ClassicalRegister(n, 'creg')\n",
    "qc = QuantumCircuit(x, z, a, b, c, bN, t, creg)\n",
    "qc.x(x[0]) # x = 1\n",
    "qc.x(z[0]) # z = 3\n",
    "qc.x(z[1])\n",
    "qc.x(bN[0]) # bN = 5\n",
    "qc.x(bN[2])\n",
    "qc.append(create_ctrl_mult_mod(n, bigN, m), list(x) + z[:] + list(a) + list(b) + list(c) + list(bN) + list(t))\n",
    "# for i in range(n):\n",
    "#     qc.measure(b[i], creg[i])\n",
    "qc.measure(b[0:n], creg)\n",
    "display(qc.draw())\n",
    "backend = Aer.get_backend('qasm_simulator')\n",
    "job = backend.run(transpile(qc, backend), shots=1024)\n",
    "counts = job.result().get_counts()\n",
    "print(counts)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sympy import mod_inverse\n",
    "\n",
    "def create_mod_exp(n, bigN, y, nx):\n",
    "    \"\"\"\n",
    "    Calculate y^x mod N and output to z\n",
    "\n",
    "    :param n: number of bits for z, a, c and bigN; b has n+1 bits\n",
    "    :param bigN: mod number\n",
    "    :param y: multiplier\n",
    "    :param nx: number of bits for x\n",
    "    :return: Gate of 4n+2 qubits\n",
    "        0 to nx-1 (n qubit) for x\n",
    "        nx to nx+n-1 (n qubits) for z (init to 1 when use)\n",
    "        nx+n to nx+2n-1 (n qubits) for a (init to 0)\n",
    "        nx+2n to nx+3n (n+1 qubits) for b (init to 0)\n",
    "        nx+3n+1 to nx+4n (n qubits) for c (init to 0)\n",
    "        nx+4n+1 to nx+5n (n qubits) for bigN (init to bigN when use)\n",
    "        nx+5n+1 (1 qubit) for temp (init to 0)\n",
    "    \"\"\"\n",
    "    x = QuantumRegister(nx, 'x')\n",
    "    z = QuantumRegister(n, 'z')\n",
    "    a = QuantumRegister(n, 'a')\n",
    "    b = QuantumRegister(n+1, 'b')\n",
    "    c = QuantumRegister(n, 'c')\n",
    "    bN = QuantumRegister(n, 'bN')\n",
    "    t = QuantumRegister(1, 't')\n",
    "    qc = QuantumCircuit(x, z, a, b, c, bN, t)\n",
    "    m = y\n",
    "    for i in range(nx):\n",
    "        qc.append(create_ctrl_mult_mod(n, bigN, m), \n",
    "            [x[i]] + z[:] + a[:] + b[:] + c[:] + bN[:] + list(t))\n",
    "        for j in range(n):\n",
    "            qc.cswap(x[i], z[j], b[j])\n",
    "        m_inv = mod_inverse(m, bigN)\n",
    "        qc.append(create_ctrl_mult_mod_inv(n, bigN, m_inv), \n",
    "            [x[i]] + z[:] + a[:] + b[:] + c[:] + bN[:] + list(t))\n",
    "        m = (m * m) % bigN # update for next cycle\n",
    "    # display(qc.draw())\n",
    "    return qc.to_gate(label='mod_exp')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<pre style=\"word-wrap: normal;white-space: pre;background: #fff0;line-height: 1.1;font-family: &quot;Courier New&quot;,Courier,monospace\">             ┌───────────┐         \n",
       "   x_0: ─────┤0          ├─────────\n",
       "        ┌───┐│           │         \n",
       "   x_1: ┤ X ├┤1          ├─────────\n",
       "        └───┘│           │         \n",
       "   x_2: ─────┤2          ├─────────\n",
       "        ┌───┐│           │         \n",
       "   x_3: ┤ X ├┤3          ├─────────\n",
       "        └───┘│           │         \n",
       "   x_4: ─────┤4          ├─────────\n",
       "        ┌───┐│           │         \n",
       "   x_5: ┤ X ├┤5          ├─────────\n",
       "        ├───┤│           │┌─┐      \n",
       "   z_0: ┤ X ├┤6          ├┤M├──────\n",
       "        └───┘│           │└╥┘┌─┐   \n",
       "   z_1: ─────┤7          ├─╫─┤M├───\n",
       "             │           │ ║ └╥┘┌─┐\n",
       "   z_2: ─────┤8          ├─╫──╫─┤M├\n",
       "             │           │ ║  ║ └╥┘\n",
       "   a_0: ─────┤9          ├─╫──╫──╫─\n",
       "             │           │ ║  ║  ║ \n",
       "   a_1: ─────┤10         ├─╫──╫──╫─\n",
       "             │           │ ║  ║  ║ \n",
       "   a_2: ─────┤11 mod_exp ├─╫──╫──╫─\n",
       "             │           │ ║  ║  ║ \n",
       "   b_0: ─────┤12         ├─╫──╫──╫─\n",
       "             │           │ ║  ║  ║ \n",
       "   b_1: ─────┤13         ├─╫──╫──╫─\n",
       "             │           │ ║  ║  ║ \n",
       "   b_2: ─────┤14         ├─╫──╫──╫─\n",
       "             │           │ ║  ║  ║ \n",
       "   b_3: ─────┤15         ├─╫──╫──╫─\n",
       "             │           │ ║  ║  ║ \n",
       "   c_0: ─────┤16         ├─╫──╫──╫─\n",
       "             │           │ ║  ║  ║ \n",
       "   c_1: ─────┤17         ├─╫──╫──╫─\n",
       "             │           │ ║  ║  ║ \n",
       "   c_2: ─────┤18         ├─╫──╫──╫─\n",
       "        ┌───┐│           │ ║  ║  ║ \n",
       "  bN_0: ┤ X ├┤19         ├─╫──╫──╫─\n",
       "        └───┘│           │ ║  ║  ║ \n",
       "  bN_1: ─────┤20         ├─╫──╫──╫─\n",
       "        ┌───┐│           │ ║  ║  ║ \n",
       "  bN_2: ┤ X ├┤21         ├─╫──╫──╫─\n",
       "        └───┘│           │ ║  ║  ║ \n",
       "     t: ─────┤22         ├─╫──╫──╫─\n",
       "             └───────────┘ ║  ║  ║ \n",
       "creg: 3/═══════════════════╩══╩══╩═\n",
       "                           0  1  2 </pre>"
      ],
      "text/plain": [
       "             ┌───────────┐         \n",
       "   x_0: ─────┤0          ├─────────\n",
       "        ┌───┐│           │         \n",
       "   x_1: ┤ X ├┤1          ├─────────\n",
       "        └───┘│           │         \n",
       "   x_2: ─────┤2          ├─────────\n",
       "        ┌───┐│           │         \n",
       "   x_3: ┤ X ├┤3          ├─────────\n",
       "        └───┘│           │         \n",
       "   x_4: ─────┤4          ├─────────\n",
       "        ┌───┐│           │         \n",
       "   x_5: ┤ X ├┤5          ├─────────\n",
       "        ├───┤│           │┌─┐      \n",
       "   z_0: ┤ X ├┤6          ├┤M├──────\n",
       "        └───┘│           │└╥┘┌─┐   \n",
       "   z_1: ─────┤7          ├─╫─┤M├───\n",
       "             │           │ ║ └╥┘┌─┐\n",
       "   z_2: ─────┤8          ├─╫──╫─┤M├\n",
       "             │           │ ║  ║ └╥┘\n",
       "   a_0: ─────┤9          ├─╫──╫──╫─\n",
       "             │           │ ║  ║  ║ \n",
       "   a_1: ─────┤10         ├─╫──╫──╫─\n",
       "             │           │ ║  ║  ║ \n",
       "   a_2: ─────┤11 mod_exp ├─╫──╫──╫─\n",
       "             │           │ ║  ║  ║ \n",
       "   b_0: ─────┤12         ├─╫──╫──╫─\n",
       "             │           │ ║  ║  ║ \n",
       "   b_1: ─────┤13         ├─╫──╫──╫─\n",
       "             │           │ ║  ║  ║ \n",
       "   b_2: ─────┤14         ├─╫──╫──╫─\n",
       "             │           │ ║  ║  ║ \n",
       "   b_3: ─────┤15         ├─╫──╫──╫─\n",
       "             │           │ ║  ║  ║ \n",
       "   c_0: ─────┤16         ├─╫──╫──╫─\n",
       "             │           │ ║  ║  ║ \n",
       "   c_1: ─────┤17         ├─╫──╫──╫─\n",
       "             │           │ ║  ║  ║ \n",
       "   c_2: ─────┤18         ├─╫──╫──╫─\n",
       "        ┌───┐│           │ ║  ║  ║ \n",
       "  bN_0: ┤ X ├┤19         ├─╫──╫──╫─\n",
       "        └───┘│           │ ║  ║  ║ \n",
       "  bN_1: ─────┤20         ├─╫──╫──╫─\n",
       "        ┌───┐│           │ ║  ║  ║ \n",
       "  bN_2: ┤ X ├┤21         ├─╫──╫──╫─\n",
       "        └───┘│           │ ║  ║  ║ \n",
       "     t: ─────┤22         ├─╫──╫──╫─\n",
       "             └───────────┘ ║  ║  ║ \n",
       "creg: 3/═══════════════════╩══╩══╩═\n",
       "                           0  1  2 "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/thyung/opt/anaconda3/envs/qiskit_env/lib/python3.10/site-packages/numpy/linalg/linalg.py:2154: RuntimeWarning: divide by zero encountered in det\n",
      "  r = _umath_linalg.det(a, signature=signature)\n",
      "/Users/thyung/opt/anaconda3/envs/qiskit_env/lib/python3.10/site-packages/numpy/linalg/linalg.py:2154: RuntimeWarning: invalid value encountered in det\n",
      "  r = _umath_linalg.det(a, signature=signature)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'100': 1}\n"
     ]
    }
   ],
   "source": [
    "n = 3\n",
    "bigN = 5\n",
    "y = 3\n",
    "nx = 6\n",
    "x = QuantumRegister(nx, 'x')\n",
    "z = QuantumRegister(n, 'z')\n",
    "a = QuantumRegister(n, 'a')\n",
    "b = QuantumRegister(n+1, 'b')\n",
    "c = QuantumRegister(n, 'c')\n",
    "bN = QuantumRegister(n, 'bN')\n",
    "t = QuantumRegister(1, 't')\n",
    "creg = ClassicalRegister(n, 'creg')\n",
    "qc = QuantumCircuit(x, z, a, b, c, bN, t, creg)\n",
    "#qc.x(x[2]) # x = 4\n",
    "# qc.x(x[0]) # x = 3\n",
    "# qc.x(x[1])\n",
    "qc.x(x[1]) # x = 42\n",
    "qc.x(x[3])\n",
    "qc.x(x[5])\n",
    "qc.x(z[0]) # z = 1 init\n",
    "qc.x(bN[0]) # bN = 5\n",
    "qc.x(bN[2])\n",
    "qc.append(create_mod_exp(n, bigN, y, nx), x[:] + z[:] + a[:] + b[:] + c[:] + bN[:] + list(t))\n",
    "qc.measure(z, creg)\n",
    "display(qc.draw())\n",
    "backend = Aer.get_backend('qasm_simulator')\n",
    "job = backend.run(transpile(qc, backend), shots=1)\n",
    "counts = job.result().get_counts()\n",
    "print(counts)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<pre style=\"word-wrap: normal;white-space: pre;background: #fff0;line-height: 1.1;font-family: &quot;Courier New&quot;,Courier,monospace\">         ┌───┐┌───────────┐┌───────────────────┐┌─┐                     \n",
       "    x_0: ┤ H ├┤0          ├┤0                  ├┤M├─────────────────────\n",
       "         ├───┤│           ││                   │└╥┘┌─┐                  \n",
       "    x_1: ┤ H ├┤1          ├┤1                  ├─╫─┤M├──────────────────\n",
       "         ├───┤│           ││                   │ ║ └╥┘┌─┐               \n",
       "    x_2: ┤ H ├┤2          ├┤2                  ├─╫──╫─┤M├───────────────\n",
       "         ├───┤│           ││                   │ ║  ║ └╥┘┌─┐            \n",
       "    x_3: ┤ H ├┤3          ├┤3                  ├─╫──╫──╫─┤M├────────────\n",
       "         ├───┤│           ││  circuit-33175_dg │ ║  ║  ║ └╥┘┌─┐         \n",
       "    x_4: ┤ H ├┤4          ├┤4                  ├─╫──╫──╫──╫─┤M├─────────\n",
       "         ├───┤│           ││                   │ ║  ║  ║  ║ └╥┘┌─┐      \n",
       "    x_5: ┤ H ├┤5          ├┤5                  ├─╫──╫──╫──╫──╫─┤M├──────\n",
       "         ├───┤│           ││                   │ ║  ║  ║  ║  ║ └╥┘┌─┐   \n",
       "    x_6: ┤ H ├┤6          ├┤6                  ├─╫──╫──╫──╫──╫──╫─┤M├───\n",
       "         ├───┤│           ││                   │ ║  ║  ║  ║  ║  ║ └╥┘┌─┐\n",
       "    x_7: ┤ H ├┤7          ├┤7                  ├─╫──╫──╫──╫──╫──╫──╫─┤M├\n",
       "         ├───┤│           │└───────────────────┘ ║  ║  ║  ║  ║  ║  ║ └╥┘\n",
       "    z_0: ┤ X ├┤8          ├──────────────────────╫──╫──╫──╫──╫──╫──╫──╫─\n",
       "         └───┘│           │                      ║  ║  ║  ║  ║  ║  ║  ║ \n",
       "    z_1: ─────┤9          ├──────────────────────╫──╫──╫──╫──╫──╫──╫──╫─\n",
       "              │           │                      ║  ║  ║  ║  ║  ║  ║  ║ \n",
       "    z_2: ─────┤10         ├──────────────────────╫──╫──╫──╫──╫──╫──╫──╫─\n",
       "              │           │                      ║  ║  ║  ║  ║  ║  ║  ║ \n",
       "    z_3: ─────┤11         ├──────────────────────╫──╫──╫──╫──╫──╫──╫──╫─\n",
       "              │           │                      ║  ║  ║  ║  ║  ║  ║  ║ \n",
       "    z_4: ─────┤12         ├──────────────────────╫──╫──╫──╫──╫──╫──╫──╫─\n",
       "              │           │                      ║  ║  ║  ║  ║  ║  ║  ║ \n",
       "    a_0: ─────┤13         ├──────────────────────╫──╫──╫──╫──╫──╫──╫──╫─\n",
       "              │           │                      ║  ║  ║  ║  ║  ║  ║  ║ \n",
       "    a_1: ─────┤14         ├──────────────────────╫──╫──╫──╫──╫──╫──╫──╫─\n",
       "              │           │                      ║  ║  ║  ║  ║  ║  ║  ║ \n",
       "    a_2: ─────┤15         ├──────────────────────╫──╫──╫──╫──╫──╫──╫──╫─\n",
       "              │           │                      ║  ║  ║  ║  ║  ║  ║  ║ \n",
       "    a_3: ─────┤16         ├──────────────────────╫──╫──╫──╫──╫──╫──╫──╫─\n",
       "              │           │                      ║  ║  ║  ║  ║  ║  ║  ║ \n",
       "    a_4: ─────┤17 mod_exp ├──────────────────────╫──╫──╫──╫──╫──╫──╫──╫─\n",
       "              │           │                      ║  ║  ║  ║  ║  ║  ║  ║ \n",
       "    b_0: ─────┤18         ├──────────────────────╫──╫──╫──╫──╫──╫──╫──╫─\n",
       "              │           │                      ║  ║  ║  ║  ║  ║  ║  ║ \n",
       "    b_1: ─────┤19         ├──────────────────────╫──╫──╫──╫──╫──╫──╫──╫─\n",
       "              │           │                      ║  ║  ║  ║  ║  ║  ║  ║ \n",
       "    b_2: ─────┤20         ├──────────────────────╫──╫──╫──╫──╫──╫──╫──╫─\n",
       "              │           │                      ║  ║  ║  ║  ║  ║  ║  ║ \n",
       "    b_3: ─────┤21         ├──────────────────────╫──╫──╫──╫──╫──╫──╫──╫─\n",
       "              │           │                      ║  ║  ║  ║  ║  ║  ║  ║ \n",
       "    b_4: ─────┤22         ├──────────────────────╫──╫──╫──╫──╫──╫──╫──╫─\n",
       "              │           │                      ║  ║  ║  ║  ║  ║  ║  ║ \n",
       "    b_5: ─────┤23         ├──────────────────────╫──╫──╫──╫──╫──╫──╫──╫─\n",
       "              │           │                      ║  ║  ║  ║  ║  ║  ║  ║ \n",
       "    c_0: ─────┤24         ├──────────────────────╫──╫──╫──╫──╫──╫──╫──╫─\n",
       "              │           │                      ║  ║  ║  ║  ║  ║  ║  ║ \n",
       "    c_1: ─────┤25         ├──────────────────────╫──╫──╫──╫──╫──╫──╫──╫─\n",
       "              │           │                      ║  ║  ║  ║  ║  ║  ║  ║ \n",
       "    c_2: ─────┤26         ├──────────────────────╫──╫──╫──╫──╫──╫──╫──╫─\n",
       "              │           │                      ║  ║  ║  ║  ║  ║  ║  ║ \n",
       "    c_3: ─────┤27         ├──────────────────────╫──╫──╫──╫──╫──╫──╫──╫─\n",
       "              │           │                      ║  ║  ║  ║  ║  ║  ║  ║ \n",
       "    c_4: ─────┤28         ├──────────────────────╫──╫──╫──╫──╫──╫──╫──╫─\n",
       "         ┌───┐│           │                      ║  ║  ║  ║  ║  ║  ║  ║ \n",
       "   bN_0: ┤ X ├┤29         ├──────────────────────╫──╫──╫──╫──╫──╫──╫──╫─\n",
       "         ├───┤│           │                      ║  ║  ║  ║  ║  ║  ║  ║ \n",
       "   bN_1: ┤ X ├┤30         ├──────────────────────╫──╫──╫──╫──╫──╫──╫──╫─\n",
       "         ├───┤│           │                      ║  ║  ║  ║  ║  ║  ║  ║ \n",
       "   bN_2: ┤ X ├┤31         ├──────────────────────╫──╫──╫──╫──╫──╫──╫──╫─\n",
       "         ├───┤│           │                      ║  ║  ║  ║  ║  ║  ║  ║ \n",
       "   bN_3: ┤ X ├┤32         ├──────────────────────╫──╫──╫──╫──╫──╫──╫──╫─\n",
       "         └───┘│           │                      ║  ║  ║  ║  ║  ║  ║  ║ \n",
       "   bN_4: ─────┤33         ├──────────────────────╫──╫──╫──╫──╫──╫──╫──╫─\n",
       "              │           │                      ║  ║  ║  ║  ║  ║  ║  ║ \n",
       "      t: ─────┤34         ├──────────────────────╫──╫──╫──╫──╫──╫──╫──╫─\n",
       "              └───────────┘                      ║  ║  ║  ║  ║  ║  ║  ║ \n",
       "cregx: 8/════════════════════════════════════════╩══╩══╩══╩══╩══╩══╩══╩═\n",
       "                                                 0  1  2  3  4  5  6  7 </pre>"
      ],
      "text/plain": [
       "         ┌───┐┌───────────┐┌───────────────────┐┌─┐                     \n",
       "    x_0: ┤ H ├┤0          ├┤0                  ├┤M├─────────────────────\n",
       "         ├───┤│           ││                   │└╥┘┌─┐                  \n",
       "    x_1: ┤ H ├┤1          ├┤1                  ├─╫─┤M├──────────────────\n",
       "         ├───┤│           ││                   │ ║ └╥┘┌─┐               \n",
       "    x_2: ┤ H ├┤2          ├┤2                  ├─╫──╫─┤M├───────────────\n",
       "         ├───┤│           ││                   │ ║  ║ └╥┘┌─┐            \n",
       "    x_3: ┤ H ├┤3          ├┤3                  ├─╫──╫──╫─┤M├────────────\n",
       "         ├───┤│           ││  circuit-33175_dg │ ║  ║  ║ └╥┘┌─┐         \n",
       "    x_4: ┤ H ├┤4          ├┤4                  ├─╫──╫──╫──╫─┤M├─────────\n",
       "         ├───┤│           ││                   │ ║  ║  ║  ║ └╥┘┌─┐      \n",
       "    x_5: ┤ H ├┤5          ├┤5                  ├─╫──╫──╫──╫──╫─┤M├──────\n",
       "         ├───┤│           ││                   │ ║  ║  ║  ║  ║ └╥┘┌─┐   \n",
       "    x_6: ┤ H ├┤6          ├┤6                  ├─╫──╫──╫──╫──╫──╫─┤M├───\n",
       "         ├───┤│           ││                   │ ║  ║  ║  ║  ║  ║ └╥┘┌─┐\n",
       "    x_7: ┤ H ├┤7          ├┤7                  ├─╫──╫──╫──╫──╫──╫──╫─┤M├\n",
       "         ├───┤│           │└───────────────────┘ ║  ║  ║  ║  ║  ║  ║ └╥┘\n",
       "    z_0: ┤ X ├┤8          ├──────────────────────╫──╫──╫──╫──╫──╫──╫──╫─\n",
       "         └───┘│           │                      ║  ║  ║  ║  ║  ║  ║  ║ \n",
       "    z_1: ─────┤9          ├──────────────────────╫──╫──╫──╫──╫──╫──╫──╫─\n",
       "              │           │                      ║  ║  ║  ║  ║  ║  ║  ║ \n",
       "    z_2: ─────┤10         ├──────────────────────╫──╫──╫──╫──╫──╫──╫──╫─\n",
       "              │           │                      ║  ║  ║  ║  ║  ║  ║  ║ \n",
       "    z_3: ─────┤11         ├──────────────────────╫──╫──╫──╫──╫──╫──╫──╫─\n",
       "              │           │                      ║  ║  ║  ║  ║  ║  ║  ║ \n",
       "    z_4: ─────┤12         ├──────────────────────╫──╫──╫──╫──╫──╫──╫──╫─\n",
       "              │           │                      ║  ║  ║  ║  ║  ║  ║  ║ \n",
       "    a_0: ─────┤13         ├──────────────────────╫──╫──╫──╫──╫──╫──╫──╫─\n",
       "              │           │                      ║  ║  ║  ║  ║  ║  ║  ║ \n",
       "    a_1: ─────┤14         ├──────────────────────╫──╫──╫──╫──╫──╫──╫──╫─\n",
       "              │           │                      ║  ║  ║  ║  ║  ║  ║  ║ \n",
       "    a_2: ─────┤15         ├──────────────────────╫──╫──╫──╫──╫──╫──╫──╫─\n",
       "              │           │                      ║  ║  ║  ║  ║  ║  ║  ║ \n",
       "    a_3: ─────┤16         ├──────────────────────╫──╫──╫──╫──╫──╫──╫──╫─\n",
       "              │           │                      ║  ║  ║  ║  ║  ║  ║  ║ \n",
       "    a_4: ─────┤17 mod_exp ├──────────────────────╫──╫──╫──╫──╫──╫──╫──╫─\n",
       "              │           │                      ║  ║  ║  ║  ║  ║  ║  ║ \n",
       "    b_0: ─────┤18         ├──────────────────────╫──╫──╫──╫──╫──╫──╫──╫─\n",
       "              │           │                      ║  ║  ║  ║  ║  ║  ║  ║ \n",
       "    b_1: ─────┤19         ├──────────────────────╫──╫──╫──╫──╫──╫──╫──╫─\n",
       "              │           │                      ║  ║  ║  ║  ║  ║  ║  ║ \n",
       "    b_2: ─────┤20         ├──────────────────────╫──╫──╫──╫──╫──╫──╫──╫─\n",
       "              │           │                      ║  ║  ║  ║  ║  ║  ║  ║ \n",
       "    b_3: ─────┤21         ├──────────────────────╫──╫──╫──╫──╫──╫──╫──╫─\n",
       "              │           │                      ║  ║  ║  ║  ║  ║  ║  ║ \n",
       "    b_4: ─────┤22         ├──────────────────────╫──╫──╫──╫──╫──╫──╫──╫─\n",
       "              │           │                      ║  ║  ║  ║  ║  ║  ║  ║ \n",
       "    b_5: ─────┤23         ├──────────────────────╫──╫──╫──╫──╫──╫──╫──╫─\n",
       "              │           │                      ║  ║  ║  ║  ║  ║  ║  ║ \n",
       "    c_0: ─────┤24         ├──────────────────────╫──╫──╫──╫──╫──╫──╫──╫─\n",
       "              │           │                      ║  ║  ║  ║  ║  ║  ║  ║ \n",
       "    c_1: ─────┤25         ├──────────────────────╫──╫──╫──╫──╫──╫──╫──╫─\n",
       "              │           │                      ║  ║  ║  ║  ║  ║  ║  ║ \n",
       "    c_2: ─────┤26         ├──────────────────────╫──╫──╫──╫──╫──╫──╫──╫─\n",
       "              │           │                      ║  ║  ║  ║  ║  ║  ║  ║ \n",
       "    c_3: ─────┤27         ├──────────────────────╫──╫──╫──╫──╫──╫──╫──╫─\n",
       "              │           │                      ║  ║  ║  ║  ║  ║  ║  ║ \n",
       "    c_4: ─────┤28         ├──────────────────────╫──╫──╫──╫──╫──╫──╫──╫─\n",
       "         ┌───┐│           │                      ║  ║  ║  ║  ║  ║  ║  ║ \n",
       "   bN_0: ┤ X ├┤29         ├──────────────────────╫──╫──╫──╫──╫──╫──╫──╫─\n",
       "         ├───┤│           │                      ║  ║  ║  ║  ║  ║  ║  ║ \n",
       "   bN_1: ┤ X ├┤30         ├──────────────────────╫──╫──╫──╫──╫──╫──╫──╫─\n",
       "         ├───┤│           │                      ║  ║  ║  ║  ║  ║  ║  ║ \n",
       "   bN_2: ┤ X ├┤31         ├──────────────────────╫──╫──╫──╫──╫──╫──╫──╫─\n",
       "         ├───┤│           │                      ║  ║  ║  ║  ║  ║  ║  ║ \n",
       "   bN_3: ┤ X ├┤32         ├──────────────────────╫──╫──╫──╫──╫──╫──╫──╫─\n",
       "         └───┘│           │                      ║  ║  ║  ║  ║  ║  ║  ║ \n",
       "   bN_4: ─────┤33         ├──────────────────────╫──╫──╫──╫──╫──╫──╫──╫─\n",
       "              │           │                      ║  ║  ║  ║  ║  ║  ║  ║ \n",
       "      t: ─────┤34         ├──────────────────────╫──╫──╫──╫──╫──╫──╫──╫─\n",
       "              └───────────┘                      ║  ║  ║  ║  ║  ║  ║  ║ \n",
       "cregx: 8/════════════════════════════════════════╩══╩══╩══╩══╩══╩══╩══╩═\n",
       "                                                 0  1  2  3  4  5  6  7 "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'11000000': 249, '01000000': 258, '10000000': 260, '00000000': 257}\n"
     ]
    }
   ],
   "source": [
    "n = 5   # use 4 qubits may not work, do not know the reason\n",
    "bigN = 15\n",
    "y = 7\n",
    "nx = 8\n",
    "x = QuantumRegister(nx, 'x')\n",
    "z = QuantumRegister(n, 'z')\n",
    "a = QuantumRegister(n, 'a')\n",
    "b = QuantumRegister(n+1, 'b')\n",
    "c = QuantumRegister(n, 'c')\n",
    "bN = QuantumRegister(n, 'bN')\n",
    "t = QuantumRegister(1, 't')\n",
    "# cregz = ClassicalRegister(n, 'cregz')\n",
    "cregx = ClassicalRegister(nx, 'cregx')\n",
    "# qc = QuantumCircuit(x, z, a, b, c, bN, t, cregz, cregx)\n",
    "qc = QuantumCircuit(x, z, a, b, c, bN, t, cregx)\n",
    "qc.h(x)\n",
    "qc.x(z[0]) # z = 1 init\n",
    "qc.x(bN[0]) # bN = 15 = 1111(2)\n",
    "qc.x(bN[1]) \n",
    "qc.x(bN[2])\n",
    "qc.x(bN[3])\n",
    "\n",
    "qc.append(create_mod_exp(n, bigN, y, nx), x[:] + z[:] + a[:] + b[:] + c[:] + bN[:] + list(t))\n",
    "qc.append(myqft(nx).inverse(), x)\n",
    "# qc.measure(z, cregz)\n",
    "qc.measure(x, cregx)\n",
    "display(qc.draw())\n",
    "backend = Aer.get_backend('qasm_simulator')\n",
    "job = backend.run(transpile(qc, backend), shots=1024)\n",
    "counts = job.result().get_counts()\n",
    "print(counts)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Fraction(3, 4)"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from fractions import Fraction\n",
    "Fraction(192/2**8).limit_denominator(15)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "5\n",
      "3\n"
     ]
    }
   ],
   "source": [
    "import math\n",
    "\n",
    "print(math.gcd(7**2+1, 15))\n",
    "print(math.gcd(7**2-1, 15))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<pre style=\"word-wrap: normal;white-space: pre;background: #fff0;line-height: 1.1;font-family: &quot;Courier New&quot;,Courier,monospace\">          ┌───┐┌───────────┐┌─────────────────────┐┌─┐                        »\n",
       "     x_0: ┤ H ├┤0          ├┤0                    ├┤M├────────────────────────»\n",
       "          ├───┤│           ││                     │└╥┘┌─┐                     »\n",
       "     x_1: ┤ H ├┤1          ├┤1                    ├─╫─┤M├─────────────────────»\n",
       "          ├───┤│           ││                     │ ║ └╥┘┌─┐                  »\n",
       "     x_2: ┤ H ├┤2          ├┤2                    ├─╫──╫─┤M├──────────────────»\n",
       "          ├───┤│           ││                     │ ║  ║ └╥┘┌─┐               »\n",
       "     x_3: ┤ H ├┤3          ├┤3                    ├─╫──╫──╫─┤M├───────────────»\n",
       "          ├───┤│           ││                     │ ║  ║  ║ └╥┘┌─┐            »\n",
       "     x_4: ┤ H ├┤4          ├┤4                    ├─╫──╫──╫──╫─┤M├────────────»\n",
       "          ├───┤│           ││                     │ ║  ║  ║  ║ └╥┘┌─┐         »\n",
       "     x_5: ┤ H ├┤5          ├┤5                    ├─╫──╫──╫──╫──╫─┤M├─────────»\n",
       "          ├───┤│           ││   circuit-625781_dg │ ║  ║  ║  ║  ║ └╥┘┌─┐      »\n",
       "     x_6: ┤ H ├┤6          ├┤6                    ├─╫──╫──╫──╫──╫──╫─┤M├──────»\n",
       "          ├───┤│           ││                     │ ║  ║  ║  ║  ║  ║ └╥┘┌─┐   »\n",
       "     x_7: ┤ H ├┤7          ├┤7                    ├─╫──╫──╫──╫──╫──╫──╫─┤M├───»\n",
       "          ├───┤│           ││                     │ ║  ║  ║  ║  ║  ║  ║ └╥┘┌─┐»\n",
       "     x_8: ┤ H ├┤8          ├┤8                    ├─╫──╫──╫──╫──╫──╫──╫──╫─┤M├»\n",
       "          ├───┤│           ││                     │ ║  ║  ║  ║  ║  ║  ║  ║ └╥┘»\n",
       "     x_9: ┤ H ├┤9          ├┤9                    ├─╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "          ├───┤│           ││                     │ ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "    x_10: ┤ H ├┤10         ├┤10                   ├─╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "          ├───┤│           ││                     │ ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "    x_11: ┤ H ├┤11         ├┤11                   ├─╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "          ├───┤│           │└─────────────────────┘ ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "     z_0: ┤ X ├┤12         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "          └───┘│           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "     z_1: ─────┤13         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "               │           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "     z_2: ─────┤14         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "               │           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "     z_3: ─────┤15         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "               │           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "     z_4: ─────┤16         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "               │           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "     z_5: ─────┤17         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "               │           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "     a_0: ─────┤18         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "               │           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "     a_1: ─────┤19         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "               │           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "     a_2: ─────┤20         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "               │           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "     a_3: ─────┤21         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "               │   mod_exp │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "     a_4: ─────┤22         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "               │           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "     a_5: ─────┤23         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "               │           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "     b_0: ─────┤24         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "               │           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "     b_1: ─────┤25         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "               │           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "     b_2: ─────┤26         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "               │           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "     b_3: ─────┤27         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "               │           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "     b_4: ─────┤28         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "               │           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "     b_5: ─────┤29         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "               │           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "     b_6: ─────┤30         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "               │           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "     c_0: ─────┤31         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "               │           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "     c_1: ─────┤32         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "               │           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "     c_2: ─────┤33         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "               │           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "     c_3: ─────┤34         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "               │           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "     c_4: ─────┤35         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "               │           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "     c_5: ─────┤36         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "          ┌───┐│           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "    bN_0: ┤ X ├┤37         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "          ├───┤│           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "    bN_1: ┤ X ├┤38         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "          ├───┤│           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "    bN_2: ┤ X ├┤39         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "          └───┘│           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "    bN_3: ─────┤40         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "          ┌───┐│           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "    bN_4: ┤ X ├┤41         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "          ├───┤│           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "    bN_5: ┤ X ├┤42         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "          └───┘│           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "       t: ─────┤43         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "               └───────────┘                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "cregx: 12/══════════════════════════════════════════╩══╩══╩══╩══╩══╩══╩══╩══╩═»\n",
       "                                                    0  1  2  3  4  5  6  7  8 »\n",
       "«                   \n",
       "«     x_0: ─────────\n",
       "«                   \n",
       "«     x_1: ─────────\n",
       "«                   \n",
       "«     x_2: ─────────\n",
       "«                   \n",
       "«     x_3: ─────────\n",
       "«                   \n",
       "«     x_4: ─────────\n",
       "«                   \n",
       "«     x_5: ─────────\n",
       "«                   \n",
       "«     x_6: ─────────\n",
       "«                   \n",
       "«     x_7: ─────────\n",
       "«                   \n",
       "«     x_8: ─────────\n",
       "«          ┌─┐      \n",
       "«     x_9: ┤M├──────\n",
       "«          └╥┘┌─┐   \n",
       "«    x_10: ─╫─┤M├───\n",
       "«           ║ └╥┘┌─┐\n",
       "«    x_11: ─╫──╫─┤M├\n",
       "«           ║  ║ └╥┘\n",
       "«     z_0: ─╫──╫──╫─\n",
       "«           ║  ║  ║ \n",
       "«     z_1: ─╫──╫──╫─\n",
       "«           ║  ║  ║ \n",
       "«     z_2: ─╫──╫──╫─\n",
       "«           ║  ║  ║ \n",
       "«     z_3: ─╫──╫──╫─\n",
       "«           ║  ║  ║ \n",
       "«     z_4: ─╫──╫──╫─\n",
       "«           ║  ║  ║ \n",
       "«     z_5: ─╫──╫──╫─\n",
       "«           ║  ║  ║ \n",
       "«     a_0: ─╫──╫──╫─\n",
       "«           ║  ║  ║ \n",
       "«     a_1: ─╫──╫──╫─\n",
       "«           ║  ║  ║ \n",
       "«     a_2: ─╫──╫──╫─\n",
       "«           ║  ║  ║ \n",
       "«     a_3: ─╫──╫──╫─\n",
       "«           ║  ║  ║ \n",
       "«     a_4: ─╫──╫──╫─\n",
       "«           ║  ║  ║ \n",
       "«     a_5: ─╫──╫──╫─\n",
       "«           ║  ║  ║ \n",
       "«     b_0: ─╫──╫──╫─\n",
       "«           ║  ║  ║ \n",
       "«     b_1: ─╫──╫──╫─\n",
       "«           ║  ║  ║ \n",
       "«     b_2: ─╫──╫──╫─\n",
       "«           ║  ║  ║ \n",
       "«     b_3: ─╫──╫──╫─\n",
       "«           ║  ║  ║ \n",
       "«     b_4: ─╫──╫──╫─\n",
       "«           ║  ║  ║ \n",
       "«     b_5: ─╫──╫──╫─\n",
       "«           ║  ║  ║ \n",
       "«     b_6: ─╫──╫──╫─\n",
       "«           ║  ║  ║ \n",
       "«     c_0: ─╫──╫──╫─\n",
       "«           ║  ║  ║ \n",
       "«     c_1: ─╫──╫──╫─\n",
       "«           ║  ║  ║ \n",
       "«     c_2: ─╫──╫──╫─\n",
       "«           ║  ║  ║ \n",
       "«     c_3: ─╫──╫──╫─\n",
       "«           ║  ║  ║ \n",
       "«     c_4: ─╫──╫──╫─\n",
       "«           ║  ║  ║ \n",
       "«     c_5: ─╫──╫──╫─\n",
       "«           ║  ║  ║ \n",
       "«    bN_0: ─╫──╫──╫─\n",
       "«           ║  ║  ║ \n",
       "«    bN_1: ─╫──╫──╫─\n",
       "«           ║  ║  ║ \n",
       "«    bN_2: ─╫──╫──╫─\n",
       "«           ║  ║  ║ \n",
       "«    bN_3: ─╫──╫──╫─\n",
       "«           ║  ║  ║ \n",
       "«    bN_4: ─╫──╫──╫─\n",
       "«           ║  ║  ║ \n",
       "«    bN_5: ─╫──╫──╫─\n",
       "«           ║  ║  ║ \n",
       "«       t: ─╫──╫──╫─\n",
       "«           ║  ║  ║ \n",
       "«cregx: 12/═╩══╩══╩═\n",
       "«           9  10 11</pre>"
      ],
      "text/plain": [
       "          ┌───┐┌───────────┐┌─────────────────────┐┌─┐                        »\n",
       "     x_0: ┤ H ├┤0          ├┤0                    ├┤M├────────────────────────»\n",
       "          ├───┤│           ││                     │└╥┘┌─┐                     »\n",
       "     x_1: ┤ H ├┤1          ├┤1                    ├─╫─┤M├─────────────────────»\n",
       "          ├───┤│           ││                     │ ║ └╥┘┌─┐                  »\n",
       "     x_2: ┤ H ├┤2          ├┤2                    ├─╫──╫─┤M├──────────────────»\n",
       "          ├───┤│           ││                     │ ║  ║ └╥┘┌─┐               »\n",
       "     x_3: ┤ H ├┤3          ├┤3                    ├─╫──╫──╫─┤M├───────────────»\n",
       "          ├───┤│           ││                     │ ║  ║  ║ └╥┘┌─┐            »\n",
       "     x_4: ┤ H ├┤4          ├┤4                    ├─╫──╫──╫──╫─┤M├────────────»\n",
       "          ├───┤│           ││                     │ ║  ║  ║  ║ └╥┘┌─┐         »\n",
       "     x_5: ┤ H ├┤5          ├┤5                    ├─╫──╫──╫──╫──╫─┤M├─────────»\n",
       "          ├───┤│           ││   circuit-625781_dg │ ║  ║  ║  ║  ║ └╥┘┌─┐      »\n",
       "     x_6: ┤ H ├┤6          ├┤6                    ├─╫──╫──╫──╫──╫──╫─┤M├──────»\n",
       "          ├───┤│           ││                     │ ║  ║  ║  ║  ║  ║ └╥┘┌─┐   »\n",
       "     x_7: ┤ H ├┤7          ├┤7                    ├─╫──╫──╫──╫──╫──╫──╫─┤M├───»\n",
       "          ├───┤│           ││                     │ ║  ║  ║  ║  ║  ║  ║ └╥┘┌─┐»\n",
       "     x_8: ┤ H ├┤8          ├┤8                    ├─╫──╫──╫──╫──╫──╫──╫──╫─┤M├»\n",
       "          ├───┤│           ││                     │ ║  ║  ║  ║  ║  ║  ║  ║ └╥┘»\n",
       "     x_9: ┤ H ├┤9          ├┤9                    ├─╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "          ├───┤│           ││                     │ ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "    x_10: ┤ H ├┤10         ├┤10                   ├─╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "          ├───┤│           ││                     │ ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "    x_11: ┤ H ├┤11         ├┤11                   ├─╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "          ├───┤│           │└─────────────────────┘ ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "     z_0: ┤ X ├┤12         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "          └───┘│           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "     z_1: ─────┤13         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "               │           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "     z_2: ─────┤14         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "               │           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "     z_3: ─────┤15         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "               │           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "     z_4: ─────┤16         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "               │           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "     z_5: ─────┤17         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "               │           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "     a_0: ─────┤18         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "               │           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "     a_1: ─────┤19         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "               │           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "     a_2: ─────┤20         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "               │           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "     a_3: ─────┤21         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "               │   mod_exp │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "     a_4: ─────┤22         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "               │           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "     a_5: ─────┤23         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "               │           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "     b_0: ─────┤24         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "               │           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "     b_1: ─────┤25         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "               │           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "     b_2: ─────┤26         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "               │           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "     b_3: ─────┤27         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "               │           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "     b_4: ─────┤28         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "               │           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "     b_5: ─────┤29         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "               │           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "     b_6: ─────┤30         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "               │           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "     c_0: ─────┤31         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "               │           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "     c_1: ─────┤32         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "               │           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "     c_2: ─────┤33         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "               │           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "     c_3: ─────┤34         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "               │           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "     c_4: ─────┤35         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "               │           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "     c_5: ─────┤36         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "          ┌───┐│           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "    bN_0: ┤ X ├┤37         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "          ├───┤│           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "    bN_1: ┤ X ├┤38         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "          ├───┤│           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "    bN_2: ┤ X ├┤39         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "          └───┘│           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "    bN_3: ─────┤40         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "          ┌───┐│           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "    bN_4: ┤ X ├┤41         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "          ├───┤│           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "    bN_5: ┤ X ├┤42         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "          └───┘│           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "       t: ─────┤43         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "               └───────────┘                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "cregx: 12/══════════════════════════════════════════╩══╩══╩══╩══╩══╩══╩══╩══╩═»\n",
       "                                                    0  1  2  3  4  5  6  7  8 »\n",
       "«                   \n",
       "«     x_0: ─────────\n",
       "«                   \n",
       "«     x_1: ─────────\n",
       "«                   \n",
       "«     x_2: ─────────\n",
       "«                   \n",
       "«     x_3: ─────────\n",
       "«                   \n",
       "«     x_4: ─────────\n",
       "«                   \n",
       "«     x_5: ─────────\n",
       "«                   \n",
       "«     x_6: ─────────\n",
       "«                   \n",
       "«     x_7: ─────────\n",
       "«                   \n",
       "«     x_8: ─────────\n",
       "«          ┌─┐      \n",
       "«     x_9: ┤M├──────\n",
       "«          └╥┘┌─┐   \n",
       "«    x_10: ─╫─┤M├───\n",
       "«           ║ └╥┘┌─┐\n",
       "«    x_11: ─╫──╫─┤M├\n",
       "«           ║  ║ └╥┘\n",
       "«     z_0: ─╫──╫──╫─\n",
       "«           ║  ║  ║ \n",
       "«     z_1: ─╫──╫──╫─\n",
       "«           ║  ║  ║ \n",
       "«     z_2: ─╫──╫──╫─\n",
       "«           ║  ║  ║ \n",
       "«     z_3: ─╫──╫──╫─\n",
       "«           ║  ║  ║ \n",
       "«     z_4: ─╫──╫──╫─\n",
       "«           ║  ║  ║ \n",
       "«     z_5: ─╫──╫──╫─\n",
       "«           ║  ║  ║ \n",
       "«     a_0: ─╫──╫──╫─\n",
       "«           ║  ║  ║ \n",
       "«     a_1: ─╫──╫──╫─\n",
       "«           ║  ║  ║ \n",
       "«     a_2: ─╫──╫──╫─\n",
       "«           ║  ║  ║ \n",
       "«     a_3: ─╫──╫──╫─\n",
       "«           ║  ║  ║ \n",
       "«     a_4: ─╫──╫──╫─\n",
       "«           ║  ║  ║ \n",
       "«     a_5: ─╫──╫──╫─\n",
       "«           ║  ║  ║ \n",
       "«     b_0: ─╫──╫──╫─\n",
       "«           ║  ║  ║ \n",
       "«     b_1: ─╫──╫──╫─\n",
       "«           ║  ║  ║ \n",
       "«     b_2: ─╫──╫──╫─\n",
       "«           ║  ║  ║ \n",
       "«     b_3: ─╫──╫──╫─\n",
       "«           ║  ║  ║ \n",
       "«     b_4: ─╫──╫──╫─\n",
       "«           ║  ║  ║ \n",
       "«     b_5: ─╫──╫──╫─\n",
       "«           ║  ║  ║ \n",
       "«     b_6: ─╫──╫──╫─\n",
       "«           ║  ║  ║ \n",
       "«     c_0: ─╫──╫──╫─\n",
       "«           ║  ║  ║ \n",
       "«     c_1: ─╫──╫──╫─\n",
       "«           ║  ║  ║ \n",
       "«     c_2: ─╫──╫──╫─\n",
       "«           ║  ║  ║ \n",
       "«     c_3: ─╫──╫──╫─\n",
       "«           ║  ║  ║ \n",
       "«     c_4: ─╫──╫──╫─\n",
       "«           ║  ║  ║ \n",
       "«     c_5: ─╫──╫──╫─\n",
       "«           ║  ║  ║ \n",
       "«    bN_0: ─╫──╫──╫─\n",
       "«           ║  ║  ║ \n",
       "«    bN_1: ─╫──╫──╫─\n",
       "«           ║  ║  ║ \n",
       "«    bN_2: ─╫──╫──╫─\n",
       "«           ║  ║  ║ \n",
       "«    bN_3: ─╫──╫──╫─\n",
       "«           ║  ║  ║ \n",
       "«    bN_4: ─╫──╫──╫─\n",
       "«           ║  ║  ║ \n",
       "«    bN_5: ─╫──╫──╫─\n",
       "«           ║  ║  ║ \n",
       "«       t: ─╫──╫──╫─\n",
       "«           ║  ║  ║ \n",
       "«cregx: 12/═╩══╩══╩═\n",
       "«           9  10 11"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'100110010111': 1, '011001101110': 1, '001100110010': 1, '100110011100': 1, '000011000111': 1, '111001101010': 1, '110110010101': 2, '101001100111': 15, '000011001011': 1, '110110011101': 1, '001001100100': 1, '011001101101': 1, '011100101110': 1, '110110010100': 1, '010110010010': 1, '010110011011': 2, '010110010111': 1, '111001100101': 2, '010011001110': 2, '011001011110': 1, '011100110010': 3, '010110011000': 2, '100011001110': 1, '000110011000': 2, '111100110010': 1, '100110011011': 3, '110011010011': 1, '110101111110': 1, '101100110010': 1, '101100110000': 1, '111001100100': 1, '000011001110': 1, '100110011000': 2, '010110010110': 2, '001100110111': 1, '001001100000': 1, '001100110001': 1, '110011001100': 2, '111001110101': 1, '101100110011': 43, '011100110011': 44, '011100110100': 6, '100110100000': 1, '111001101001': 1, '110110100010': 1, '011001100100': 1, '111100110100': 2, '001001100011': 1, '011001100000': 1, '101001101000': 3, '011100110101': 1, '110110010010': 1, '001001100010': 1, '011001101000': 2, '101100110100': 5, '110110011010': 28, '100011001010': 1, '110110010111': 1, '010110011001': 10, '100011001100': 3, '000110010111': 1, '101000011001': 1, '010110011101': 1, '010011001100': 3, '001001100111': 8, '000110011101': 1, '100110011010': 34, '000011001100': 5, '000110011001': 11, '010011001001': 1, '111100110101': 1, '111001100111': 15, '000110011011': 2, '101001100100': 1, '000110110101': 1, '000011001111': 2, '010110011010': 32, '010011001101': 44, '000011000110': 1, '100110011001': 11, '110110011001': 13, '110110011110': 1, '100000000000': 51, '010011010000': 1, '001001101000': 3, '011001100111': 10, '001001100101': 1, '010110101011': 1, '100011001101': 43, '011001100110': 30, '101001100101': 4, '101001100110': 33, '110011001101': 43, '110000000000': 61, '111001100110': 27, '111001100011': 2, '001001100110': 28, '000011001101': 41, '001100110011': 41, '111100110011': 42, '110110011100': 1, '010000000000': 47, '001001101001': 2, '110110011011': 3, '000000000000': 60, '011001100101': 2, '000110011010': 28, '110110011000': 6}\n"
     ]
    }
   ],
   "source": [
    "n = 6\n",
    "bigN = 55\n",
    "y = 7\n",
    "nx = 12\n",
    "x = QuantumRegister(nx, 'x')\n",
    "z = QuantumRegister(n, 'z')\n",
    "a = QuantumRegister(n, 'a')\n",
    "b = QuantumRegister(n+1, 'b')\n",
    "c = QuantumRegister(n, 'c')\n",
    "bN = QuantumRegister(n, 'bN')\n",
    "t = QuantumRegister(1, 't')\n",
    "# cregz = ClassicalRegister(n, 'cregz')\n",
    "cregx = ClassicalRegister(nx, 'cregx')\n",
    "# qc = QuantumCircuit(x, z, a, b, c, bN, t, cregz, cregx)\n",
    "qc = QuantumCircuit(x, z, a, b, c, bN, t, cregx)\n",
    "qc.h(x)\n",
    "qc.x(z[0]) # z = 1 init\n",
    "qc.x(bN[0]) # bN = 55 = 110111(2)\n",
    "qc.x(bN[1])\n",
    "qc.x(bN[2])\n",
    "qc.x(bN[4])\n",
    "qc.x(bN[5])\n",
    "# qc.x(bN[7])\n",
    "\n",
    "qc.append(create_mod_exp(n, bigN, y, nx), x[:] + z[:] + a[:] + b[:] + c[:] + bN[:] + list(t))\n",
    "qc.append(myqft(nx).inverse(), x)\n",
    "# qc.measure(z, cregz)\n",
    "qc.measure(x, cregx)\n",
    "display(qc.draw())\n",
    "backend = Aer.get_backend('qasm_simulator')\n",
    "job = backend.run(transpile(qc, backend), shots=1024)\n",
    "counts = job.result().get_counts()\n",
    "print(counts)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Fraction(1, 20)"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from fractions import Fraction\n",
    "Fraction(205/2**12).limit_denominator(55)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "5\n",
      "11\n"
     ]
    }
   ],
   "source": [
    "import math\n",
    "\n",
    "print(math.gcd(7**10+1, 55))\n",
    "print(math.gcd(7**10-1, 55))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "     x_0: ┤ H ├┤0          ├┤0                    ├┤M├────────────────────────»\n",
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       "          ├───┤│           ││                     │ ║ └╥┘┌─┐                  »\n",
       "     x_2: ┤ H ├┤2          ├┤2                    ├─╫──╫─┤M├──────────────────»\n",
       "          ├───┤│           ││                     │ ║  ║ └╥┘┌─┐               »\n",
       "     x_3: ┤ H ├┤3          ├┤3                    ├─╫──╫──╫─┤M├───────────────»\n",
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       "          ├───┤│           ││                     │ ║  ║  ║  ║  ║ └╥┘┌─┐      »\n",
       "     x_6: ┤ H ├┤6          ├┤6                    ├─╫──╫──╫──╫──╫──╫─┤M├──────»\n",
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       "    x_11: ┤ H ├┤11         ├┤11                   ├─╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "          ├───┤│           ││                     │ ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "    x_12: ┤ H ├┤12         ├┤12                   ├─╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "          ├───┤│           ││                     │ ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "    x_13: ┤ H ├┤13         ├┤13                   ├─╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "          ├───┤│           ││                     │ ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "    x_14: ┤ H ├┤14         ├┤14                   ├─╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "          ├───┤│           ││                     │ ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "    x_15: ┤ H ├┤15         ├┤15                   ├─╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "          ├───┤│           │└─────────────────────┘ ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "     z_0: ┤ X ├┤16         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "          └───┘│           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "     z_1: ─────┤17         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "               │           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "     z_2: ─────┤18         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "               │           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "     z_3: ─────┤19         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "               │           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "     z_4: ─────┤20         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "               │           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "     z_5: ─────┤21         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "               │           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "     z_6: ─────┤22         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "               │           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "     z_7: ─────┤23         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "               │           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "     a_0: ─────┤24         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "               │           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "     a_1: ─────┤25         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "               │           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "     a_2: ─────┤26         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "               │           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "     a_3: ─────┤27         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "               │           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "     a_4: ─────┤28         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "               │   mod_exp │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "     a_5: ─────┤29         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "               │           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "     a_6: ─────┤30         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "               │           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "     a_7: ─────┤31         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "               │           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "     b_0: ─────┤32         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "               │           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "     b_1: ─────┤33         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "               │           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "     b_2: ─────┤34         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "               │           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "     b_3: ─────┤35         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "               │           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "     b_4: ─────┤36         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "               │           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "     b_5: ─────┤37         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "               │           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "     b_6: ─────┤38         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "               │           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "     b_7: ─────┤39         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "               │           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "     b_8: ─────┤40         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "               │           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "     c_0: ─────┤41         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "               │           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "     c_1: ─────┤42         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "               │           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "     c_2: ─────┤43         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "               │           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "     c_3: ─────┤44         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "               │           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "     c_4: ─────┤45         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "               │           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "     c_5: ─────┤46         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "               │           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "     c_6: ─────┤47         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "               │           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "     c_7: ─────┤48         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "          ┌───┐│           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "    bN_0: ┤ X ├┤49         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "          └───┘│           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "    bN_1: ─────┤50         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "          ┌───┐│           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "    bN_2: ┤ X ├┤51         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "          ├───┤│           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "    bN_3: ┤ X ├┤52         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "          ├───┤│           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "    bN_4: ┤ X ├┤53         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "          └───┘│           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "    bN_5: ─────┤54         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "          ┌───┐│           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "    bN_6: ┤ X ├┤55         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "          ├───┤│           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "    bN_7: ┤ X ├┤56         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "          └───┘│           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "       t: ─────┤57         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "               └───────────┘                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "cregx: 16/══════════════════════════════════════════╩══╩══╩══╩══╩══╩══╩══╩══╩═»\n",
       "                                                    0  1  2  3  4  5  6  7  8 »\n",
       "«                               \n",
       "«     x_0: ─────────────────────\n",
       "«                               \n",
       "«     x_1: ─────────────────────\n",
       "«                               \n",
       "«     x_2: ─────────────────────\n",
       "«                               \n",
       "«     x_3: ─────────────────────\n",
       "«                               \n",
       "«     x_4: ─────────────────────\n",
       "«                               \n",
       "«     x_5: ─────────────────────\n",
       "«                               \n",
       "«     x_6: ─────────────────────\n",
       "«                               \n",
       "«     x_7: ─────────────────────\n",
       "«                               \n",
       "«     x_8: ─────────────────────\n",
       "«          ┌─┐                  \n",
       "«     x_9: ┤M├──────────────────\n",
       "«          └╥┘┌─┐               \n",
       "«    x_10: ─╫─┤M├───────────────\n",
       "«           ║ └╥┘┌─┐            \n",
       "«    x_11: ─╫──╫─┤M├────────────\n",
       "«           ║  ║ └╥┘┌─┐         \n",
       "«    x_12: ─╫──╫──╫─┤M├─────────\n",
       "«           ║  ║  ║ └╥┘┌─┐      \n",
       "«    x_13: ─╫──╫──╫──╫─┤M├──────\n",
       "«           ║  ║  ║  ║ └╥┘┌─┐   \n",
       "«    x_14: ─╫──╫──╫──╫──╫─┤M├───\n",
       "«           ║  ║  ║  ║  ║ └╥┘┌─┐\n",
       "«    x_15: ─╫──╫──╫──╫──╫──╫─┤M├\n",
       "«           ║  ║  ║  ║  ║  ║ └╥┘\n",
       "«     z_0: ─╫──╫──╫──╫──╫──╫──╫─\n",
       "«           ║  ║  ║  ║  ║  ║  ║ \n",
       "«     z_1: ─╫──╫──╫──╫──╫──╫──╫─\n",
       "«           ║  ║  ║  ║  ║  ║  ║ \n",
       "«     z_2: ─╫──╫──╫──╫──╫──╫──╫─\n",
       "«           ║  ║  ║  ║  ║  ║  ║ \n",
       "«     z_3: ─╫──╫──╫──╫──╫──╫──╫─\n",
       "«           ║  ║  ║  ║  ║  ║  ║ \n",
       "«     z_4: ─╫──╫──╫──╫──╫──╫──╫─\n",
       "«           ║  ║  ║  ║  ║  ║  ║ \n",
       "«     z_5: ─╫──╫──╫──╫──╫──╫──╫─\n",
       "«           ║  ║  ║  ║  ║  ║  ║ \n",
       "«     z_6: ─╫──╫──╫──╫──╫──╫──╫─\n",
       "«           ║  ║  ║  ║  ║  ║  ║ \n",
       "«     z_7: ─╫──╫──╫──╫──╫──╫──╫─\n",
       "«           ║  ║  ║  ║  ║  ║  ║ \n",
       "«     a_0: ─╫──╫──╫──╫──╫──╫──╫─\n",
       "«           ║  ║  ║  ║  ║  ║  ║ \n",
       "«     a_1: ─╫──╫──╫──╫──╫──╫──╫─\n",
       "«           ║  ║  ║  ║  ║  ║  ║ \n",
       "«     a_2: ─╫──╫──╫──╫──╫──╫──╫─\n",
       "«           ║  ║  ║  ║  ║  ║  ║ \n",
       "«     a_3: ─╫──╫──╫──╫──╫──╫──╫─\n",
       "«           ║  ║  ║  ║  ║  ║  ║ \n",
       "«     a_4: ─╫──╫──╫──╫──╫──╫──╫─\n",
       "«           ║  ║  ║  ║  ║  ║  ║ \n",
       "«     a_5: ─╫──╫──╫──╫──╫──╫──╫─\n",
       "«           ║  ║  ║  ║  ║  ║  ║ \n",
       "«     a_6: ─╫──╫──╫──╫──╫──╫──╫─\n",
       "«           ║  ║  ║  ║  ║  ║  ║ \n",
       "«     a_7: ─╫──╫──╫──╫──╫──╫──╫─\n",
       "«           ║  ║  ║  ║  ║  ║  ║ \n",
       "«     b_0: ─╫──╫──╫──╫──╫──╫──╫─\n",
       "«           ║  ║  ║  ║  ║  ║  ║ \n",
       "«     b_1: ─╫──╫──╫──╫──╫──╫──╫─\n",
       "«           ║  ║  ║  ║  ║  ║  ║ \n",
       "«     b_2: ─╫──╫──╫──╫──╫──╫──╫─\n",
       "«           ║  ║  ║  ║  ║  ║  ║ \n",
       "«     b_3: ─╫──╫──╫──╫──╫──╫──╫─\n",
       "«           ║  ║  ║  ║  ║  ║  ║ \n",
       "«     b_4: ─╫──╫──╫──╫──╫──╫──╫─\n",
       "«           ║  ║  ║  ║  ║  ║  ║ \n",
       "«     b_5: ─╫──╫──╫──╫──╫──╫──╫─\n",
       "«           ║  ║  ║  ║  ║  ║  ║ \n",
       "«     b_6: ─╫──╫──╫──╫──╫──╫──╫─\n",
       "«           ║  ║  ║  ║  ║  ║  ║ \n",
       "«     b_7: ─╫──╫──╫──╫──╫──╫──╫─\n",
       "«           ║  ║  ║  ║  ║  ║  ║ \n",
       "«     b_8: ─╫──╫──╫──╫──╫──╫──╫─\n",
       "«           ║  ║  ║  ║  ║  ║  ║ \n",
       "«     c_0: ─╫──╫──╫──╫──╫──╫──╫─\n",
       "«           ║  ║  ║  ║  ║  ║  ║ \n",
       "«     c_1: ─╫──╫──╫──╫──╫──╫──╫─\n",
       "«           ║  ║  ║  ║  ║  ║  ║ \n",
       "«     c_2: ─╫──╫──╫──╫──╫──╫──╫─\n",
       "«           ║  ║  ║  ║  ║  ║  ║ \n",
       "«     c_3: ─╫──╫──╫──╫──╫──╫──╫─\n",
       "«           ║  ║  ║  ║  ║  ║  ║ \n",
       "«     c_4: ─╫──╫──╫──╫──╫──╫──╫─\n",
       "«           ║  ║  ║  ║  ║  ║  ║ \n",
       "«     c_5: ─╫──╫──╫──╫──╫──╫──╫─\n",
       "«           ║  ║  ║  ║  ║  ║  ║ \n",
       "«     c_6: ─╫──╫──╫──╫──╫──╫──╫─\n",
       "«           ║  ║  ║  ║  ║  ║  ║ \n",
       "«     c_7: ─╫──╫──╫──╫──╫──╫──╫─\n",
       "«           ║  ║  ║  ║  ║  ║  ║ \n",
       "«    bN_0: ─╫──╫──╫──╫──╫──╫──╫─\n",
       "«           ║  ║  ║  ║  ║  ║  ║ \n",
       "«    bN_1: ─╫──╫──╫──╫──╫──╫──╫─\n",
       "«           ║  ║  ║  ║  ║  ║  ║ \n",
       "«    bN_2: ─╫──╫──╫──╫──╫──╫──╫─\n",
       "«           ║  ║  ║  ║  ║  ║  ║ \n",
       "«    bN_3: ─╫──╫──╫──╫──╫──╫──╫─\n",
       "«           ║  ║  ║  ║  ║  ║  ║ \n",
       "«    bN_4: ─╫──╫──╫──╫──╫──╫──╫─\n",
       "«           ║  ║  ║  ║  ║  ║  ║ \n",
       "«    bN_5: ─╫──╫──╫──╫──╫──╫──╫─\n",
       "«           ║  ║  ║  ║  ║  ║  ║ \n",
       "«    bN_6: ─╫──╫──╫──╫──╫──╫──╫─\n",
       "«           ║  ║  ║  ║  ║  ║  ║ \n",
       "«    bN_7: ─╫──╫──╫──╫──╫──╫──╫─\n",
       "«           ║  ║  ║  ║  ║  ║  ║ \n",
       "«       t: ─╫──╫──╫──╫──╫──╫──╫─\n",
       "«           ║  ║  ║  ║  ║  ║  ║ \n",
       "«cregx: 16/═╩══╩══╩══╩══╩══╩══╩═\n",
       "«           9  10 11 12 13 14 15</pre>"
      ],
      "text/plain": [
       "          ┌───┐┌───────────┐┌─────────────────────┐┌─┐                        »\n",
       "     x_0: ┤ H ├┤0          ├┤0                    ├┤M├────────────────────────»\n",
       "          ├───┤│           ││                     │└╥┘┌─┐                     »\n",
       "     x_1: ┤ H ├┤1          ├┤1                    ├─╫─┤M├─────────────────────»\n",
       "          ├───┤│           ││                     │ ║ └╥┘┌─┐                  »\n",
       "     x_2: ┤ H ├┤2          ├┤2                    ├─╫──╫─┤M├──────────────────»\n",
       "          ├───┤│           ││                     │ ║  ║ └╥┘┌─┐               »\n",
       "     x_3: ┤ H ├┤3          ├┤3                    ├─╫──╫──╫─┤M├───────────────»\n",
       "          ├───┤│           ││                     │ ║  ║  ║ └╥┘┌─┐            »\n",
       "     x_4: ┤ H ├┤4          ├┤4                    ├─╫──╫──╫──╫─┤M├────────────»\n",
       "          ├───┤│           ││                     │ ║  ║  ║  ║ └╥┘┌─┐         »\n",
       "     x_5: ┤ H ├┤5          ├┤5                    ├─╫──╫──╫──╫──╫─┤M├─────────»\n",
       "          ├───┤│           ││                     │ ║  ║  ║  ║  ║ └╥┘┌─┐      »\n",
       "     x_6: ┤ H ├┤6          ├┤6                    ├─╫──╫──╫──╫──╫──╫─┤M├──────»\n",
       "          ├───┤│           ││                     │ ║  ║  ║  ║  ║  ║ └╥┘┌─┐   »\n",
       "     x_7: ┤ H ├┤7          ├┤7                    ├─╫──╫──╫──╫──╫──╫──╫─┤M├───»\n",
       "          ├───┤│           ││   circuit-563619_dg │ ║  ║  ║  ║  ║  ║  ║ └╥┘┌─┐»\n",
       "     x_8: ┤ H ├┤8          ├┤8                    ├─╫──╫──╫──╫──╫──╫──╫──╫─┤M├»\n",
       "          ├───┤│           ││                     │ ║  ║  ║  ║  ║  ║  ║  ║ └╥┘»\n",
       "     x_9: ┤ H ├┤9          ├┤9                    ├─╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "          ├───┤│           ││                     │ ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "    x_10: ┤ H ├┤10         ├┤10                   ├─╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "          ├───┤│           ││                     │ ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "    x_11: ┤ H ├┤11         ├┤11                   ├─╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "          ├───┤│           ││                     │ ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "    x_12: ┤ H ├┤12         ├┤12                   ├─╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "          ├───┤│           ││                     │ ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "    x_13: ┤ H ├┤13         ├┤13                   ├─╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "          ├───┤│           ││                     │ ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "    x_14: ┤ H ├┤14         ├┤14                   ├─╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "          ├───┤│           ││                     │ ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "    x_15: ┤ H ├┤15         ├┤15                   ├─╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "          ├───┤│           │└─────────────────────┘ ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "     z_0: ┤ X ├┤16         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "          └───┘│           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "     z_1: ─────┤17         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "               │           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "     z_2: ─────┤18         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "               │           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "     z_3: ─────┤19         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "               │           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "     z_4: ─────┤20         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "               │           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "     z_5: ─────┤21         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "               │           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "     z_6: ─────┤22         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "               │           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "     z_7: ─────┤23         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "               │           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "     a_0: ─────┤24         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "               │           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "     a_1: ─────┤25         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "               │           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "     a_2: ─────┤26         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "               │           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "     a_3: ─────┤27         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "               │           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "     a_4: ─────┤28         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "               │   mod_exp │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "     a_5: ─────┤29         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "               │           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "     a_6: ─────┤30         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "               │           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "     a_7: ─────┤31         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "               │           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "     b_0: ─────┤32         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "               │           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "     b_1: ─────┤33         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "               │           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "     b_2: ─────┤34         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "               │           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "     b_3: ─────┤35         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "               │           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "     b_4: ─────┤36         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "               │           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "     b_5: ─────┤37         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "               │           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "     b_6: ─────┤38         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "               │           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "     b_7: ─────┤39         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "               │           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "     b_8: ─────┤40         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "               │           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "     c_0: ─────┤41         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "               │           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "     c_1: ─────┤42         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "               │           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "     c_2: ─────┤43         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "               │           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "     c_3: ─────┤44         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "               │           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "     c_4: ─────┤45         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "               │           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "     c_5: ─────┤46         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "               │           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "     c_6: ─────┤47         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "               │           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "     c_7: ─────┤48         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "          ┌───┐│           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "    bN_0: ┤ X ├┤49         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "          └───┘│           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "    bN_1: ─────┤50         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "          ┌───┐│           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "    bN_2: ┤ X ├┤51         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "          ├───┤│           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "    bN_3: ┤ X ├┤52         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "          ├───┤│           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "    bN_4: ┤ X ├┤53         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "          └───┘│           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "    bN_5: ─────┤54         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "          ┌───┐│           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "    bN_6: ┤ X ├┤55         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "          ├───┤│           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "    bN_7: ┤ X ├┤56         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "          └───┘│           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "       t: ─────┤57         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "               └───────────┘                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "cregx: 16/══════════════════════════════════════════╩══╩══╩══╩══╩══╩══╩══╩══╩═»\n",
       "                                                    0  1  2  3  4  5  6  7  8 »\n",
       "«                               \n",
       "«     x_0: ─────────────────────\n",
       "«                               \n",
       "«     x_1: ─────────────────────\n",
       "«                               \n",
       "«     x_2: ─────────────────────\n",
       "«                               \n",
       "«     x_3: ─────────────────────\n",
       "«                               \n",
       "«     x_4: ─────────────────────\n",
       "«                               \n",
       "«     x_5: ─────────────────────\n",
       "«                               \n",
       "«     x_6: ─────────────────────\n",
       "«                               \n",
       "«     x_7: ─────────────────────\n",
       "«                               \n",
       "«     x_8: ─────────────────────\n",
       "«          ┌─┐                  \n",
       "«     x_9: ┤M├──────────────────\n",
       "«          └╥┘┌─┐               \n",
       "«    x_10: ─╫─┤M├───────────────\n",
       "«           ║ └╥┘┌─┐            \n",
       "«    x_11: ─╫──╫─┤M├────────────\n",
       "«           ║  ║ └╥┘┌─┐         \n",
       "«    x_12: ─╫──╫──╫─┤M├─────────\n",
       "«           ║  ║  ║ └╥┘┌─┐      \n",
       "«    x_13: ─╫──╫──╫──╫─┤M├──────\n",
       "«           ║  ║  ║  ║ └╥┘┌─┐   \n",
       "«    x_14: ─╫──╫──╫──╫──╫─┤M├───\n",
       "«           ║  ║  ║  ║  ║ └╥┘┌─┐\n",
       "«    x_15: ─╫──╫──╫──╫──╫──╫─┤M├\n",
       "«           ║  ║  ║  ║  ║  ║ └╥┘\n",
       "«     z_0: ─╫──╫──╫──╫──╫──╫──╫─\n",
       "«           ║  ║  ║  ║  ║  ║  ║ \n",
       "«     z_1: ─╫──╫──╫──╫──╫──╫──╫─\n",
       "«           ║  ║  ║  ║  ║  ║  ║ \n",
       "«     z_2: ─╫──╫──╫──╫──╫──╫──╫─\n",
       "«           ║  ║  ║  ║  ║  ║  ║ \n",
       "«     z_3: ─╫──╫──╫──╫──╫──╫──╫─\n",
       "«           ║  ║  ║  ║  ║  ║  ║ \n",
       "«     z_4: ─╫──╫──╫──╫──╫──╫──╫─\n",
       "«           ║  ║  ║  ║  ║  ║  ║ \n",
       "«     z_5: ─╫──╫──╫──╫──╫──╫──╫─\n",
       "«           ║  ║  ║  ║  ║  ║  ║ \n",
       "«     z_6: ─╫──╫──╫──╫──╫──╫──╫─\n",
       "«           ║  ║  ║  ║  ║  ║  ║ \n",
       "«     z_7: ─╫──╫──╫──╫──╫──╫──╫─\n",
       "«           ║  ║  ║  ║  ║  ║  ║ \n",
       "«     a_0: ─╫──╫──╫──╫──╫──╫──╫─\n",
       "«           ║  ║  ║  ║  ║  ║  ║ \n",
       "«     a_1: ─╫──╫──╫──╫──╫──╫──╫─\n",
       "«           ║  ║  ║  ║  ║  ║  ║ \n",
       "«     a_2: ─╫──╫──╫──╫──╫──╫──╫─\n",
       "«           ║  ║  ║  ║  ║  ║  ║ \n",
       "«     a_3: ─╫──╫──╫──╫──╫──╫──╫─\n",
       "«           ║  ║  ║  ║  ║  ║  ║ \n",
       "«     a_4: ─╫──╫──╫──╫──╫──╫──╫─\n",
       "«           ║  ║  ║  ║  ║  ║  ║ \n",
       "«     a_5: ─╫──╫──╫──╫──╫──╫──╫─\n",
       "«           ║  ║  ║  ║  ║  ║  ║ \n",
       "«     a_6: ─╫──╫──╫──╫──╫──╫──╫─\n",
       "«           ║  ║  ║  ║  ║  ║  ║ \n",
       "«     a_7: ─╫──╫──╫──╫──╫──╫──╫─\n",
       "«           ║  ║  ║  ║  ║  ║  ║ \n",
       "«     b_0: ─╫──╫──╫──╫──╫──╫──╫─\n",
       "«           ║  ║  ║  ║  ║  ║  ║ \n",
       "«     b_1: ─╫──╫──╫──╫──╫──╫──╫─\n",
       "«           ║  ║  ║  ║  ║  ║  ║ \n",
       "«     b_2: ─╫──╫──╫──╫──╫──╫──╫─\n",
       "«           ║  ║  ║  ║  ║  ║  ║ \n",
       "«     b_3: ─╫──╫──╫──╫──╫──╫──╫─\n",
       "«           ║  ║  ║  ║  ║  ║  ║ \n",
       "«     b_4: ─╫──╫──╫──╫──╫──╫──╫─\n",
       "«           ║  ║  ║  ║  ║  ║  ║ \n",
       "«     b_5: ─╫──╫──╫──╫──╫──╫──╫─\n",
       "«           ║  ║  ║  ║  ║  ║  ║ \n",
       "«     b_6: ─╫──╫──╫──╫──╫──╫──╫─\n",
       "«           ║  ║  ║  ║  ║  ║  ║ \n",
       "«     b_7: ─╫──╫──╫──╫──╫──╫──╫─\n",
       "«           ║  ║  ║  ║  ║  ║  ║ \n",
       "«     b_8: ─╫──╫──╫──╫──╫──╫──╫─\n",
       "«           ║  ║  ║  ║  ║  ║  ║ \n",
       "«     c_0: ─╫──╫──╫──╫──╫──╫──╫─\n",
       "«           ║  ║  ║  ║  ║  ║  ║ \n",
       "«     c_1: ─╫──╫──╫──╫──╫──╫──╫─\n",
       "«           ║  ║  ║  ║  ║  ║  ║ \n",
       "«     c_2: ─╫──╫──╫──╫──╫──╫──╫─\n",
       "«           ║  ║  ║  ║  ║  ║  ║ \n",
       "«     c_3: ─╫──╫──╫──╫──╫──╫──╫─\n",
       "«           ║  ║  ║  ║  ║  ║  ║ \n",
       "«     c_4: ─╫──╫──╫──╫──╫──╫──╫─\n",
       "«           ║  ║  ║  ║  ║  ║  ║ \n",
       "«     c_5: ─╫──╫──╫──╫──╫──╫──╫─\n",
       "«           ║  ║  ║  ║  ║  ║  ║ \n",
       "«     c_6: ─╫──╫──╫──╫──╫──╫──╫─\n",
       "«           ║  ║  ║  ║  ║  ║  ║ \n",
       "«     c_7: ─╫──╫──╫──╫──╫──╫──╫─\n",
       "«           ║  ║  ║  ║  ║  ║  ║ \n",
       "«    bN_0: ─╫──╫──╫──╫──╫──╫──╫─\n",
       "«           ║  ║  ║  ║  ║  ║  ║ \n",
       "«    bN_1: ─╫──╫──╫──╫──╫──╫──╫─\n",
       "«           ║  ║  ║  ║  ║  ║  ║ \n",
       "«    bN_2: ─╫──╫──╫──╫──╫──╫──╫─\n",
       "«           ║  ║  ║  ║  ║  ║  ║ \n",
       "«    bN_3: ─╫──╫──╫──╫──╫──╫──╫─\n",
       "«           ║  ║  ║  ║  ║  ║  ║ \n",
       "«    bN_4: ─╫──╫──╫──╫──╫──╫──╫─\n",
       "«           ║  ║  ║  ║  ║  ║  ║ \n",
       "«    bN_5: ─╫──╫──╫──╫──╫──╫──╫─\n",
       "«           ║  ║  ║  ║  ║  ║  ║ \n",
       "«    bN_6: ─╫──╫──╫──╫──╫──╫──╫─\n",
       "«           ║  ║  ║  ║  ║  ║  ║ \n",
       "«    bN_7: ─╫──╫──╫──╫──╫──╫──╫─\n",
       "«           ║  ║  ║  ║  ║  ║  ║ \n",
       "«       t: ─╫──╫──╫──╫──╫──╫──╫─\n",
       "«           ║  ║  ║  ║  ║  ║  ║ \n",
       "«cregx: 16/═╩══╩══╩══╩══╩══╩══╩═\n",
       "«           9  10 11 12 13 14 15"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'1101000000000000': 1}\n"
     ]
    }
   ],
   "source": [
    "n = 8\n",
    "bigN = 221\n",
    "y = 7\n",
    "nx = 16\n",
    "x = QuantumRegister(nx, 'x')\n",
    "z = QuantumRegister(n, 'z')\n",
    "a = QuantumRegister(n, 'a')\n",
    "b = QuantumRegister(n+1, 'b')\n",
    "c = QuantumRegister(n, 'c')\n",
    "bN = QuantumRegister(n, 'bN')\n",
    "t = QuantumRegister(1, 't')\n",
    "# cregz = ClassicalRegister(n, 'cregz')\n",
    "cregx = ClassicalRegister(nx, 'cregx')\n",
    "# qc = QuantumCircuit(x, z, a, b, c, bN, t, cregz, cregx)\n",
    "qc = QuantumCircuit(x, z, a, b, c, bN, t, cregx)\n",
    "qc.h(x)\n",
    "qc.x(z[0]) # z = 1 init\n",
    "qc.x(bN[0]) # bN = 221 = 11011101(2)\n",
    "qc.x(bN[2])\n",
    "qc.x(bN[3])\n",
    "qc.x(bN[4])\n",
    "qc.x(bN[6])\n",
    "qc.x(bN[7])\n",
    "\n",
    "qc.append(create_mod_exp(n, bigN, y, nx), x[:] + z[:] + a[:] + b[:] + c[:] + bN[:] + list(t))\n",
    "qc.append(myqft(nx).inverse(), x)\n",
    "# qc.measure(z, cregz)\n",
    "qc.measure(x, cregx)\n",
    "display(qc.draw())\n",
    "backend = Aer.get_backend('qasm_simulator')\n",
    "job = backend.run(transpile(qc, backend), shots=1)\n",
    "counts = job.result().get_counts()\n",
    "print(counts)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Fraction(13, 16)"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from fractions import Fraction\n",
    "Fraction(53248/2**16).limit_denominator(221)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "17\n",
      "1\n"
     ]
    }
   ],
   "source": [
    "import math\n",
    "\n",
    "print(math.gcd(7**8+1, 221))\n",
    "print(math.gcd(7**8-1, 221))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "221"
      ]
     },
     "execution_count": 61,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "17*13"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<pre style=\"word-wrap: normal;white-space: pre;background: #fff0;line-height: 1.1;font-family: &quot;Courier New&quot;,Courier,monospace\">          ┌───┐┌───────────┐┌─────────────────────┐┌─┐                        »\n",
       "     x_0: ┤ H ├┤0          ├┤0                    ├┤M├────────────────────────»\n",
       "          ├───┤│           ││                     │└╥┘┌─┐                     »\n",
       "     x_1: ┤ H ├┤1          ├┤1                    ├─╫─┤M├─────────────────────»\n",
       "          ├───┤│           ││                     │ ║ └╥┘┌─┐                  »\n",
       "     x_2: ┤ H ├┤2          ├┤2                    ├─╫──╫─┤M├──────────────────»\n",
       "          ├───┤│           ││                     │ ║  ║ └╥┘┌─┐               »\n",
       "     x_3: ┤ H ├┤3          ├┤3                    ├─╫──╫──╫─┤M├───────────────»\n",
       "          ├───┤│           ││                     │ ║  ║  ║ └╥┘┌─┐            »\n",
       "     x_4: ┤ H ├┤4          ├┤4                    ├─╫──╫──╫──╫─┤M├────────────»\n",
       "          ├───┤│           ││                     │ ║  ║  ║  ║ └╥┘┌─┐         »\n",
       "     x_5: ┤ H ├┤5          ├┤5                    ├─╫──╫──╫──╫──╫─┤M├─────────»\n",
       "          ├───┤│           ││                     │ ║  ║  ║  ║  ║ └╥┘┌─┐      »\n",
       "     x_6: ┤ H ├┤6          ├┤6                    ├─╫──╫──╫──╫──╫──╫─┤M├──────»\n",
       "          ├───┤│           ││                     │ ║  ║  ║  ║  ║  ║ └╥┘┌─┐   »\n",
       "     x_7: ┤ H ├┤7          ├┤7                    ├─╫──╫──╫──╫──╫──╫──╫─┤M├───»\n",
       "          ├───┤│           ││                     │ ║  ║  ║  ║  ║  ║  ║ └╥┘┌─┐»\n",
       "     x_8: ┤ H ├┤8          ├┤8                    ├─╫──╫──╫──╫──╫──╫──╫──╫─┤M├»\n",
       "          ├───┤│           ││   circuit-210195_dg │ ║  ║  ║  ║  ║  ║  ║  ║ └╥┘»\n",
       "     x_9: ┤ H ├┤9          ├┤9                    ├─╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "          ├───┤│           ││                     │ ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "    x_10: ┤ H ├┤10         ├┤10                   ├─╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "          ├───┤│           ││                     │ ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "    x_11: ┤ H ├┤11         ├┤11                   ├─╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "          ├───┤│           ││                     │ ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "    x_12: ┤ H ├┤12         ├┤12                   ├─╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "          ├───┤│           ││                     │ ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "    x_13: ┤ H ├┤13         ├┤13                   ├─╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "          ├───┤│           ││                     │ ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "    x_14: ┤ H ├┤14         ├┤14                   ├─╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "          ├───┤│           ││                     │ ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "    x_15: ┤ H ├┤15         ├┤15                   ├─╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "          ├───┤│           ││                     │ ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "    x_16: ┤ H ├┤16         ├┤16                   ├─╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "          ├───┤│           ││                     │ ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "    x_17: ┤ H ├┤17         ├┤17                   ├─╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "          ├───┤│           │└─────────────────────┘ ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "     z_0: ┤ X ├┤18         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "          └───┘│           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "     z_1: ─────┤19         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "               │           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "     z_2: ─────┤20         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "               │           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "     z_3: ─────┤21         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "               │           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "     z_4: ─────┤22         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "               │           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "     z_5: ─────┤23         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "               │           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "     z_6: ─────┤24         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "               │           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "     z_7: ─────┤25         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "               │           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "     z_8: ─────┤26         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "               │           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "     a_0: ─────┤27         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "               │           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "     a_1: ─────┤28         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "               │           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "     a_2: ─────┤29         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "               │           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "     a_3: ─────┤30         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "               │           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "     a_4: ─────┤31         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "               │           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "     a_5: ─────┤32 mod_exp ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "               │           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "     a_6: ─────┤33         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "               │           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "     a_7: ─────┤34         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "               │           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "     a_8: ─────┤35         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "               │           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "     b_0: ─────┤36         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "               │           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "     b_1: ─────┤37         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "               │           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "     b_2: ─────┤38         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "               │           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "     b_3: ─────┤39         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "               │           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "     b_4: ─────┤40         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "               │           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "     b_5: ─────┤41         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "               │           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "     b_6: ─────┤42         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "               │           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "     b_7: ─────┤43         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "               │           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "     b_8: ─────┤44         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "               │           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "     b_9: ─────┤45         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "               │           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "     c_0: ─────┤46         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "               │           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "     c_1: ─────┤47         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "               │           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "     c_2: ─────┤48         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "               │           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "     c_3: ─────┤49         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "               │           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "     c_4: ─────┤50         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "               │           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "     c_5: ─────┤51         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "               │           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "     c_6: ─────┤52         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "               │           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "     c_7: ─────┤53         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "               │           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "     c_8: ─────┤54         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "          ┌───┐│           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "    bN_0: ┤ X ├┤55         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "          └───┘│           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "    bN_1: ─────┤56         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "          ┌───┐│           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "    bN_2: ┤ X ├┤57         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "          └───┘│           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "    bN_3: ─────┤58         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "          ┌───┐│           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "    bN_4: ┤ X ├┤59         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "          ├───┤│           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "    bN_5: ┤ X ├┤60         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "          └───┘│           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "    bN_6: ─────┤61         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "          ┌───┐│           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "    bN_7: ┤ X ├┤62         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "          ├───┤│           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "    bN_8: ┤ X ├┤63         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "          └───┘│           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "       t: ─────┤64         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "               └───────────┘                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "cregx: 18/══════════════════════════════════════════╩══╩══╩══╩══╩══╩══╩══╩══╩═»\n",
       "                                                    0  1  2  3  4  5  6  7  8 »\n",
       "«                                     \n",
       "«     x_0: ───────────────────────────\n",
       "«                                     \n",
       "«     x_1: ───────────────────────────\n",
       "«                                     \n",
       "«     x_2: ───────────────────────────\n",
       "«                                     \n",
       "«     x_3: ───────────────────────────\n",
       "«                                     \n",
       "«     x_4: ───────────────────────────\n",
       "«                                     \n",
       "«     x_5: ───────────────────────────\n",
       "«                                     \n",
       "«     x_6: ───────────────────────────\n",
       "«                                     \n",
       "«     x_7: ───────────────────────────\n",
       "«                                     \n",
       "«     x_8: ───────────────────────────\n",
       "«          ┌─┐                        \n",
       "«     x_9: ┤M├────────────────────────\n",
       "«          └╥┘┌─┐                     \n",
       "«    x_10: ─╫─┤M├─────────────────────\n",
       "«           ║ └╥┘┌─┐                  \n",
       "«    x_11: ─╫──╫─┤M├──────────────────\n",
       "«           ║  ║ └╥┘┌─┐               \n",
       "«    x_12: ─╫──╫──╫─┤M├───────────────\n",
       "«           ║  ║  ║ └╥┘┌─┐            \n",
       "«    x_13: ─╫──╫──╫──╫─┤M├────────────\n",
       "«           ║  ║  ║  ║ └╥┘┌─┐         \n",
       "«    x_14: ─╫──╫──╫──╫──╫─┤M├─────────\n",
       "«           ║  ║  ║  ║  ║ └╥┘┌─┐      \n",
       "«    x_15: ─╫──╫──╫──╫──╫──╫─┤M├──────\n",
       "«           ║  ║  ║  ║  ║  ║ └╥┘┌─┐   \n",
       "«    x_16: ─╫──╫──╫──╫──╫──╫──╫─┤M├───\n",
       "«           ║  ║  ║  ║  ║  ║  ║ └╥┘┌─┐\n",
       "«    x_17: ─╫──╫──╫──╫──╫──╫──╫──╫─┤M├\n",
       "«           ║  ║  ║  ║  ║  ║  ║  ║ └╥┘\n",
       "«     z_0: ─╫──╫──╫──╫──╫──╫──╫──╫──╫─\n",
       "«           ║  ║  ║  ║  ║  ║  ║  ║  ║ \n",
       "«     z_1: ─╫──╫──╫──╫──╫──╫──╫──╫──╫─\n",
       "«           ║  ║  ║  ║  ║  ║  ║  ║  ║ \n",
       "«     z_2: ─╫──╫──╫──╫──╫──╫──╫──╫──╫─\n",
       "«           ║  ║  ║  ║  ║  ║  ║  ║  ║ \n",
       "«     z_3: ─╫──╫──╫──╫──╫──╫──╫──╫──╫─\n",
       "«           ║  ║  ║  ║  ║  ║  ║  ║  ║ \n",
       "«     z_4: ─╫──╫──╫──╫──╫──╫──╫──╫──╫─\n",
       "«           ║  ║  ║  ║  ║  ║  ║  ║  ║ \n",
       "«     z_5: ─╫──╫──╫──╫──╫──╫──╫──╫──╫─\n",
       "«           ║  ║  ║  ║  ║  ║  ║  ║  ║ \n",
       "«     z_6: ─╫──╫──╫──╫──╫──╫──╫──╫──╫─\n",
       "«           ║  ║  ║  ║  ║  ║  ║  ║  ║ \n",
       "«     z_7: ─╫──╫──╫──╫──╫──╫──╫──╫──╫─\n",
       "«           ║  ║  ║  ║  ║  ║  ║  ║  ║ \n",
       "«     z_8: ─╫──╫──╫──╫──╫──╫──╫──╫──╫─\n",
       "«           ║  ║  ║  ║  ║  ║  ║  ║  ║ \n",
       "«     a_0: ─╫──╫──╫──╫──╫──╫──╫──╫──╫─\n",
       "«           ║  ║  ║  ║  ║  ║  ║  ║  ║ \n",
       "«     a_1: ─╫──╫──╫──╫──╫──╫──╫──╫──╫─\n",
       "«           ║  ║  ║  ║  ║  ║  ║  ║  ║ \n",
       "«     a_2: ─╫──╫──╫──╫──╫──╫──╫──╫──╫─\n",
       "«           ║  ║  ║  ║  ║  ║  ║  ║  ║ \n",
       "«     a_3: ─╫──╫──╫──╫──╫──╫──╫──╫──╫─\n",
       "«           ║  ║  ║  ║  ║  ║  ║  ║  ║ \n",
       "«     a_4: ─╫──╫──╫──╫──╫──╫──╫──╫──╫─\n",
       "«           ║  ║  ║  ║  ║  ║  ║  ║  ║ \n",
       "«     a_5: ─╫──╫──╫──╫──╫──╫──╫──╫──╫─\n",
       "«           ║  ║  ║  ║  ║  ║  ║  ║  ║ \n",
       "«     a_6: ─╫──╫──╫──╫──╫──╫──╫──╫──╫─\n",
       "«           ║  ║  ║  ║  ║  ║  ║  ║  ║ \n",
       "«     a_7: ─╫──╫──╫──╫──╫──╫──╫──╫──╫─\n",
       "«           ║  ║  ║  ║  ║  ║  ║  ║  ║ \n",
       "«     a_8: ─╫──╫──╫──╫──╫──╫──╫──╫──╫─\n",
       "«           ║  ║  ║  ║  ║  ║  ║  ║  ║ \n",
       "«     b_0: ─╫──╫──╫──╫──╫──╫──╫──╫──╫─\n",
       "«           ║  ║  ║  ║  ║  ║  ║  ║  ║ \n",
       "«     b_1: ─╫──╫──╫──╫──╫──╫──╫──╫──╫─\n",
       "«           ║  ║  ║  ║  ║  ║  ║  ║  ║ \n",
       "«     b_2: ─╫──╫──╫──╫──╫──╫──╫──╫──╫─\n",
       "«           ║  ║  ║  ║  ║  ║  ║  ║  ║ \n",
       "«     b_3: ─╫──╫──╫──╫──╫──╫──╫──╫──╫─\n",
       "«           ║  ║  ║  ║  ║  ║  ║  ║  ║ \n",
       "«     b_4: ─╫──╫──╫──╫──╫──╫──╫──╫──╫─\n",
       "«           ║  ║  ║  ║  ║  ║  ║  ║  ║ \n",
       "«     b_5: ─╫──╫──╫──╫──╫──╫──╫──╫──╫─\n",
       "«           ║  ║  ║  ║  ║  ║  ║  ║  ║ \n",
       "«     b_6: ─╫──╫──╫──╫──╫──╫──╫──╫──╫─\n",
       "«           ║  ║  ║  ║  ║  ║  ║  ║  ║ \n",
       "«     b_7: ─╫──╫──╫──╫──╫──╫──╫──╫──╫─\n",
       "«           ║  ║  ║  ║  ║  ║  ║  ║  ║ \n",
       "«     b_8: ─╫──╫──╫──╫──╫──╫──╫──╫──╫─\n",
       "«           ║  ║  ║  ║  ║  ║  ║  ║  ║ \n",
       "«     b_9: ─╫──╫──╫──╫──╫──╫──╫──╫──╫─\n",
       "«           ║  ║  ║  ║  ║  ║  ║  ║  ║ \n",
       "«     c_0: ─╫──╫──╫──╫──╫──╫──╫──╫──╫─\n",
       "«           ║  ║  ║  ║  ║  ║  ║  ║  ║ \n",
       "«     c_1: ─╫──╫──╫──╫──╫──╫──╫──╫──╫─\n",
       "«           ║  ║  ║  ║  ║  ║  ║  ║  ║ \n",
       "«     c_2: ─╫──╫──╫──╫──╫──╫──╫──╫──╫─\n",
       "«           ║  ║  ║  ║  ║  ║  ║  ║  ║ \n",
       "«     c_3: ─╫──╫──╫──╫──╫──╫──╫──╫──╫─\n",
       "«           ║  ║  ║  ║  ║  ║  ║  ║  ║ \n",
       "«     c_4: ─╫──╫──╫──╫──╫──╫──╫──╫──╫─\n",
       "«           ║  ║  ║  ║  ║  ║  ║  ║  ║ \n",
       "«     c_5: ─╫──╫──╫──╫──╫──╫──╫──╫──╫─\n",
       "«           ║  ║  ║  ║  ║  ║  ║  ║  ║ \n",
       "«     c_6: ─╫──╫──╫──╫──╫──╫──╫──╫──╫─\n",
       "«           ║  ║  ║  ║  ║  ║  ║  ║  ║ \n",
       "«     c_7: ─╫──╫──╫──╫──╫──╫──╫──╫──╫─\n",
       "«           ║  ║  ║  ║  ║  ║  ║  ║  ║ \n",
       "«     c_8: ─╫──╫──╫──╫──╫──╫──╫──╫──╫─\n",
       "«           ║  ║  ║  ║  ║  ║  ║  ║  ║ \n",
       "«    bN_0: ─╫──╫──╫──╫──╫──╫──╫──╫──╫─\n",
       "«           ║  ║  ║  ║  ║  ║  ║  ║  ║ \n",
       "«    bN_1: ─╫──╫──╫──╫──╫──╫──╫──╫──╫─\n",
       "«           ║  ║  ║  ║  ║  ║  ║  ║  ║ \n",
       "«    bN_2: ─╫──╫──╫──╫──╫──╫──╫──╫──╫─\n",
       "«           ║  ║  ║  ║  ║  ║  ║  ║  ║ \n",
       "«    bN_3: ─╫──╫──╫──╫──╫──╫──╫──╫──╫─\n",
       "«           ║  ║  ║  ║  ║  ║  ║  ║  ║ \n",
       "«    bN_4: ─╫──╫──╫──╫──╫──╫──╫──╫──╫─\n",
       "«           ║  ║  ║  ║  ║  ║  ║  ║  ║ \n",
       "«    bN_5: ─╫──╫──╫──╫──╫──╫──╫──╫──╫─\n",
       "«           ║  ║  ║  ║  ║  ║  ║  ║  ║ \n",
       "«    bN_6: ─╫──╫──╫──╫──╫──╫──╫──╫──╫─\n",
       "«           ║  ║  ║  ║  ║  ║  ║  ║  ║ \n",
       "«    bN_7: ─╫──╫──╫──╫──╫──╫──╫──╫──╫─\n",
       "«           ║  ║  ║  ║  ║  ║  ║  ║  ║ \n",
       "«    bN_8: ─╫──╫──╫──╫──╫──╫──╫──╫──╫─\n",
       "«           ║  ║  ║  ║  ║  ║  ║  ║  ║ \n",
       "«       t: ─╫──╫──╫──╫──╫──╫──╫──╫──╫─\n",
       "«           ║  ║  ║  ║  ║  ║  ║  ║  ║ \n",
       "«cregx: 18/═╩══╩══╩══╩══╩══╩══╩══╩══╩═\n",
       "«           9  10 11 12 13 14 15 16 17</pre>"
      ],
      "text/plain": [
       "          ┌───┐┌───────────┐┌─────────────────────┐┌─┐                        »\n",
       "     x_0: ┤ H ├┤0          ├┤0                    ├┤M├────────────────────────»\n",
       "          ├───┤│           ││                     │└╥┘┌─┐                     »\n",
       "     x_1: ┤ H ├┤1          ├┤1                    ├─╫─┤M├─────────────────────»\n",
       "          ├───┤│           ││                     │ ║ └╥┘┌─┐                  »\n",
       "     x_2: ┤ H ├┤2          ├┤2                    ├─╫──╫─┤M├──────────────────»\n",
       "          ├───┤│           ││                     │ ║  ║ └╥┘┌─┐               »\n",
       "     x_3: ┤ H ├┤3          ├┤3                    ├─╫──╫──╫─┤M├───────────────»\n",
       "          ├───┤│           ││                     │ ║  ║  ║ └╥┘┌─┐            »\n",
       "     x_4: ┤ H ├┤4          ├┤4                    ├─╫──╫──╫──╫─┤M├────────────»\n",
       "          ├───┤│           ││                     │ ║  ║  ║  ║ └╥┘┌─┐         »\n",
       "     x_5: ┤ H ├┤5          ├┤5                    ├─╫──╫──╫──╫──╫─┤M├─────────»\n",
       "          ├───┤│           ││                     │ ║  ║  ║  ║  ║ └╥┘┌─┐      »\n",
       "     x_6: ┤ H ├┤6          ├┤6                    ├─╫──╫──╫──╫──╫──╫─┤M├──────»\n",
       "          ├───┤│           ││                     │ ║  ║  ║  ║  ║  ║ └╥┘┌─┐   »\n",
       "     x_7: ┤ H ├┤7          ├┤7                    ├─╫──╫──╫──╫──╫──╫──╫─┤M├───»\n",
       "          ├───┤│           ││                     │ ║  ║  ║  ║  ║  ║  ║ └╥┘┌─┐»\n",
       "     x_8: ┤ H ├┤8          ├┤8                    ├─╫──╫──╫──╫──╫──╫──╫──╫─┤M├»\n",
       "          ├───┤│           ││   circuit-210195_dg │ ║  ║  ║  ║  ║  ║  ║  ║ └╥┘»\n",
       "     x_9: ┤ H ├┤9          ├┤9                    ├─╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "          ├───┤│           ││                     │ ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "    x_10: ┤ H ├┤10         ├┤10                   ├─╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "          ├───┤│           ││                     │ ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "    x_11: ┤ H ├┤11         ├┤11                   ├─╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "          ├───┤│           ││                     │ ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "    x_12: ┤ H ├┤12         ├┤12                   ├─╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "          ├───┤│           ││                     │ ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "    x_13: ┤ H ├┤13         ├┤13                   ├─╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "          ├───┤│           ││                     │ ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "    x_14: ┤ H ├┤14         ├┤14                   ├─╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "          ├───┤│           ││                     │ ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "    x_15: ┤ H ├┤15         ├┤15                   ├─╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "          ├───┤│           ││                     │ ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "    x_16: ┤ H ├┤16         ├┤16                   ├─╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "          ├───┤│           ││                     │ ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "    x_17: ┤ H ├┤17         ├┤17                   ├─╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "          ├───┤│           │└─────────────────────┘ ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "     z_0: ┤ X ├┤18         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "          └───┘│           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "     z_1: ─────┤19         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "               │           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "     z_2: ─────┤20         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "               │           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "     z_3: ─────┤21         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "               │           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "     z_4: ─────┤22         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "               │           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "     z_5: ─────┤23         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "               │           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "     z_6: ─────┤24         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "               │           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "     z_7: ─────┤25         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "               │           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "     z_8: ─────┤26         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "               │           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "     a_0: ─────┤27         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "               │           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "     a_1: ─────┤28         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "               │           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "     a_2: ─────┤29         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "               │           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "     a_3: ─────┤30         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "               │           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "     a_4: ─────┤31         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "               │           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "     a_5: ─────┤32 mod_exp ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "               │           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "     a_6: ─────┤33         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "               │           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "     a_7: ─────┤34         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "               │           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "     a_8: ─────┤35         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "               │           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "     b_0: ─────┤36         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "               │           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "     b_1: ─────┤37         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "               │           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "     b_2: ─────┤38         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "               │           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "     b_3: ─────┤39         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "               │           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "     b_4: ─────┤40         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "               │           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "     b_5: ─────┤41         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "               │           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "     b_6: ─────┤42         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "               │           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "     b_7: ─────┤43         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "               │           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "     b_8: ─────┤44         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "               │           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "     b_9: ─────┤45         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "               │           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "     c_0: ─────┤46         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "               │           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "     c_1: ─────┤47         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "               │           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "     c_2: ─────┤48         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "               │           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "     c_3: ─────┤49         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "               │           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "     c_4: ─────┤50         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "               │           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "     c_5: ─────┤51         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "               │           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "     c_6: ─────┤52         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "               │           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "     c_7: ─────┤53         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "               │           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "     c_8: ─────┤54         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "          ┌───┐│           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "    bN_0: ┤ X ├┤55         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "          └───┘│           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "    bN_1: ─────┤56         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "          ┌───┐│           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "    bN_2: ┤ X ├┤57         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "          └───┘│           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "    bN_3: ─────┤58         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "          ┌───┐│           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "    bN_4: ┤ X ├┤59         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "          ├───┤│           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "    bN_5: ┤ X ├┤60         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "          └───┘│           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "    bN_6: ─────┤61         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "          ┌───┐│           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "    bN_7: ┤ X ├┤62         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "          ├───┤│           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "    bN_8: ┤ X ├┤63         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "          └───┘│           │                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "       t: ─────┤64         ├────────────────────────╫──╫──╫──╫──╫──╫──╫──╫──╫─»\n",
       "               └───────────┘                        ║  ║  ║  ║  ║  ║  ║  ║  ║ »\n",
       "cregx: 18/══════════════════════════════════════════╩══╩══╩══╩══╩══╩══╩══╩══╩═»\n",
       "                                                    0  1  2  3  4  5  6  7  8 »\n",
       "«                                     \n",
       "«     x_0: ───────────────────────────\n",
       "«                                     \n",
       "«     x_1: ───────────────────────────\n",
       "«                                     \n",
       "«     x_2: ───────────────────────────\n",
       "«                                     \n",
       "«     x_3: ───────────────────────────\n",
       "«                                     \n",
       "«     x_4: ───────────────────────────\n",
       "«                                     \n",
       "«     x_5: ───────────────────────────\n",
       "«                                     \n",
       "«     x_6: ───────────────────────────\n",
       "«                                     \n",
       "«     x_7: ───────────────────────────\n",
       "«                                     \n",
       "«     x_8: ───────────────────────────\n",
       "«          ┌─┐                        \n",
       "«     x_9: ┤M├────────────────────────\n",
       "«          └╥┘┌─┐                     \n",
       "«    x_10: ─╫─┤M├─────────────────────\n",
       "«           ║ └╥┘┌─┐                  \n",
       "«    x_11: ─╫──╫─┤M├──────────────────\n",
       "«           ║  ║ └╥┘┌─┐               \n",
       "«    x_12: ─╫──╫──╫─┤M├───────────────\n",
       "«           ║  ║  ║ └╥┘┌─┐            \n",
       "«    x_13: ─╫──╫──╫──╫─┤M├────────────\n",
       "«           ║  ║  ║  ║ └╥┘┌─┐         \n",
       "«    x_14: ─╫──╫──╫──╫──╫─┤M├─────────\n",
       "«           ║  ║  ║  ║  ║ └╥┘┌─┐      \n",
       "«    x_15: ─╫──╫──╫──╫──╫──╫─┤M├──────\n",
       "«           ║  ║  ║  ║  ║  ║ └╥┘┌─┐   \n",
       "«    x_16: ─╫──╫──╫──╫──╫──╫──╫─┤M├───\n",
       "«           ║  ║  ║  ║  ║  ║  ║ └╥┘┌─┐\n",
       "«    x_17: ─╫──╫──╫──╫──╫──╫──╫──╫─┤M├\n",
       "«           ║  ║  ║  ║  ║  ║  ║  ║ └╥┘\n",
       "«     z_0: ─╫──╫──╫──╫──╫──╫──╫──╫──╫─\n",
       "«           ║  ║  ║  ║  ║  ║  ║  ║  ║ \n",
       "«     z_1: ─╫──╫──╫──╫──╫──╫──╫──╫──╫─\n",
       "«           ║  ║  ║  ║  ║  ║  ║  ║  ║ \n",
       "«     z_2: ─╫──╫──╫──╫──╫──╫──╫──╫──╫─\n",
       "«           ║  ║  ║  ║  ║  ║  ║  ║  ║ \n",
       "«     z_3: ─╫──╫──╫──╫──╫──╫──╫──╫──╫─\n",
       "«           ║  ║  ║  ║  ║  ║  ║  ║  ║ \n",
       "«     z_4: ─╫──╫──╫──╫──╫──╫──╫──╫──╫─\n",
       "«           ║  ║  ║  ║  ║  ║  ║  ║  ║ \n",
       "«     z_5: ─╫──╫──╫──╫──╫──╫──╫──╫──╫─\n",
       "«           ║  ║  ║  ║  ║  ║  ║  ║  ║ \n",
       "«     z_6: ─╫──╫──╫──╫──╫──╫──╫──╫──╫─\n",
       "«           ║  ║  ║  ║  ║  ║  ║  ║  ║ \n",
       "«     z_7: ─╫──╫──╫──╫──╫──╫──╫──╫──╫─\n",
       "«           ║  ║  ║  ║  ║  ║  ║  ║  ║ \n",
       "«     z_8: ─╫──╫──╫──╫──╫──╫──╫──╫──╫─\n",
       "«           ║  ║  ║  ║  ║  ║  ║  ║  ║ \n",
       "«     a_0: ─╫──╫──╫──╫──╫──╫──╫──╫──╫─\n",
       "«           ║  ║  ║  ║  ║  ║  ║  ║  ║ \n",
       "«     a_1: ─╫──╫──╫──╫──╫──╫──╫──╫──╫─\n",
       "«           ║  ║  ║  ║  ║  ║  ║  ║  ║ \n",
       "«     a_2: ─╫──╫──╫──╫──╫──╫──╫──╫──╫─\n",
       "«           ║  ║  ║  ║  ║  ║  ║  ║  ║ \n",
       "«     a_3: ─╫──╫──╫──╫──╫──╫──╫──╫──╫─\n",
       "«           ║  ║  ║  ║  ║  ║  ║  ║  ║ \n",
       "«     a_4: ─╫──╫──╫──╫──╫──╫──╫──╫──╫─\n",
       "«           ║  ║  ║  ║  ║  ║  ║  ║  ║ \n",
       "«     a_5: ─╫──╫──╫──╫──╫──╫──╫──╫──╫─\n",
       "«           ║  ║  ║  ║  ║  ║  ║  ║  ║ \n",
       "«     a_6: ─╫──╫──╫──╫──╫──╫──╫──╫──╫─\n",
       "«           ║  ║  ║  ║  ║  ║  ║  ║  ║ \n",
       "«     a_7: ─╫──╫──╫──╫──╫──╫──╫──╫──╫─\n",
       "«           ║  ║  ║  ║  ║  ║  ║  ║  ║ \n",
       "«     a_8: ─╫──╫──╫──╫──╫──╫──╫──╫──╫─\n",
       "«           ║  ║  ║  ║  ║  ║  ║  ║  ║ \n",
       "«     b_0: ─╫──╫──╫──╫──╫──╫──╫──╫──╫─\n",
       "«           ║  ║  ║  ║  ║  ║  ║  ║  ║ \n",
       "«     b_1: ─╫──╫──╫──╫──╫──╫──╫──╫──╫─\n",
       "«           ║  ║  ║  ║  ║  ║  ║  ║  ║ \n",
       "«     b_2: ─╫──╫──╫──╫──╫──╫──╫──╫──╫─\n",
       "«           ║  ║  ║  ║  ║  ║  ║  ║  ║ \n",
       "«     b_3: ─╫──╫──╫──╫──╫──╫──╫──╫──╫─\n",
       "«           ║  ║  ║  ║  ║  ║  ║  ║  ║ \n",
       "«     b_4: ─╫──╫──╫──╫──╫──╫──╫──╫──╫─\n",
       "«           ║  ║  ║  ║  ║  ║  ║  ║  ║ \n",
       "«     b_5: ─╫──╫──╫──╫──╫──╫──╫──╫──╫─\n",
       "«           ║  ║  ║  ║  ║  ║  ║  ║  ║ \n",
       "«     b_6: ─╫──╫──╫──╫──╫──╫──╫──╫──╫─\n",
       "«           ║  ║  ║  ║  ║  ║  ║  ║  ║ \n",
       "«     b_7: ─╫──╫──╫──╫──╫──╫──╫──╫──╫─\n",
       "«           ║  ║  ║  ║  ║  ║  ║  ║  ║ \n",
       "«     b_8: ─╫──╫──╫──╫──╫──╫──╫──╫──╫─\n",
       "«           ║  ║  ║  ║  ║  ║  ║  ║  ║ \n",
       "«     b_9: ─╫──╫──╫──╫──╫──╫──╫──╫──╫─\n",
       "«           ║  ║  ║  ║  ║  ║  ║  ║  ║ \n",
       "«     c_0: ─╫──╫──╫──╫──╫──╫──╫──╫──╫─\n",
       "«           ║  ║  ║  ║  ║  ║  ║  ║  ║ \n",
       "«     c_1: ─╫──╫──╫──╫──╫──╫──╫──╫──╫─\n",
       "«           ║  ║  ║  ║  ║  ║  ║  ║  ║ \n",
       "«     c_2: ─╫──╫──╫──╫──╫──╫──╫──╫──╫─\n",
       "«           ║  ║  ║  ║  ║  ║  ║  ║  ║ \n",
       "«     c_3: ─╫──╫──╫──╫──╫──╫──╫──╫──╫─\n",
       "«           ║  ║  ║  ║  ║  ║  ║  ║  ║ \n",
       "«     c_4: ─╫──╫──╫──╫──╫──╫──╫──╫──╫─\n",
       "«           ║  ║  ║  ║  ║  ║  ║  ║  ║ \n",
       "«     c_5: ─╫──╫──╫──╫──╫──╫──╫──╫──╫─\n",
       "«           ║  ║  ║  ║  ║  ║  ║  ║  ║ \n",
       "«     c_6: ─╫──╫──╫──╫──╫──╫──╫──╫──╫─\n",
       "«           ║  ║  ║  ║  ║  ║  ║  ║  ║ \n",
       "«     c_7: ─╫──╫──╫──╫──╫──╫──╫──╫──╫─\n",
       "«           ║  ║  ║  ║  ║  ║  ║  ║  ║ \n",
       "«     c_8: ─╫──╫──╫──╫──╫──╫──╫──╫──╫─\n",
       "«           ║  ║  ║  ║  ║  ║  ║  ║  ║ \n",
       "«    bN_0: ─╫──╫──╫──╫──╫──╫──╫──╫──╫─\n",
       "«           ║  ║  ║  ║  ║  ║  ║  ║  ║ \n",
       "«    bN_1: ─╫──╫──╫──╫──╫──╫──╫──╫──╫─\n",
       "«           ║  ║  ║  ║  ║  ║  ║  ║  ║ \n",
       "«    bN_2: ─╫──╫──╫──╫──╫──╫──╫──╫──╫─\n",
       "«           ║  ║  ║  ║  ║  ║  ║  ║  ║ \n",
       "«    bN_3: ─╫──╫──╫──╫──╫──╫──╫──╫──╫─\n",
       "«           ║  ║  ║  ║  ║  ║  ║  ║  ║ \n",
       "«    bN_4: ─╫──╫──╫──╫──╫──╫──╫──╫──╫─\n",
       "«           ║  ║  ║  ║  ║  ║  ║  ║  ║ \n",
       "«    bN_5: ─╫──╫──╫──╫──╫──╫──╫──╫──╫─\n",
       "«           ║  ║  ║  ║  ║  ║  ║  ║  ║ \n",
       "«    bN_6: ─╫──╫──╫──╫──╫──╫──╫──╫──╫─\n",
       "«           ║  ║  ║  ║  ║  ║  ║  ║  ║ \n",
       "«    bN_7: ─╫──╫──╫──╫──╫──╫──╫──╫──╫─\n",
       "«           ║  ║  ║  ║  ║  ║  ║  ║  ║ \n",
       "«    bN_8: ─╫──╫──╫──╫──╫──╫──╫──╫──╫─\n",
       "«           ║  ║  ║  ║  ║  ║  ║  ║  ║ \n",
       "«       t: ─╫──╫──╫──╫──╫──╫──╫──╫──╫─\n",
       "«           ║  ║  ║  ║  ║  ║  ║  ║  ║ \n",
       "«cregx: 18/═╩══╩══╩══╩══╩══╩══╩══╩══╩═\n",
       "«           9  10 11 12 13 14 15 16 17"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'111100000111101101': 1, '001010101010101001': 1, '101010101010101100': 1, '001100100111000001': 1, '000100110110011010': 1, '111101000101001101': 1, '001011101000110101': 1, '000000111110000101': 1, '111010001011101010': 1, '100011111000001110': 1, '100011111000011000': 1, '011101000101110101': 3, '111101000101110110': 1, '101111100000111000': 1, '010110010011011010': 1, '110011011001011000': 1, '000001111100000101': 1, '110101010101010010': 1, '010010011011001001': 3, '000001111100000111': 2, '100010111010001001': 3, '111101000101110111': 1, '100001111100001001': 1, '010100010111010000': 1, '101110100010111011': 1, '011101000101110011': 2, '000010111010011010': 1, '011101000110000110': 1, '010110010011100000': 1, '000001111100001000': 11, '011101000101110010': 1, '101001101100100111': 16, '110111010001011101': 8, '100011111000010010': 1, '011100000111110101': 1, '100010111010001010': 1, '000011111000001111': 8, '111100111001001001': 1, '110011011001001111': 1, '111010001011100111': 1, '101011101000101111': 9, '010011011001010100': 1, '010000011111000010': 12, '000000111101111110': 1, '001011101000101110': 4, '111001001101100101': 15, '011011001001101100': 2, '010101010101010100': 1, '011100000111110001': 2, '010101010101010110': 2, '111100000111110010': 1, '100101110100010111': 10, '111110000011111000': 12, '001010101010101010': 4, '111000001111100001': 17, '001011101000101101': 1, '110011011001001101': 4, '001101100100110111': 3, '100010111010001011': 3, '100010111010001100': 3, '100001111100000110': 1, '001100100110110000': 1, '000011111000010011': 1, '101100100110011000': 1, '011011001001101110': 3, '111101000101110101': 1, '011110000011111010': 2, '100001111100000111': 2, '111101000101111011': 1, '101110100010111010': 13, '001110100010111110': 1, '100111110000011111': 11, '110110010011011010': 2, '110101010101011000': 1, '110100010111010010': 8, '111100000111111111': 1, '100100110110010010': 2, '100000000000000000': 13, '111001001101100100': 1, '110100010111010001': 8, '001101100100111000': 1, '011111000001111100': 18, '110001011101000111': 1, '001001101100101000': 1, '110010011011001001': 2, '001001101100100100': 1, '101111100000111110': 12, '000010111010001011': 4, '000100110110011101': 1, '000110110010011011': 12, '110100010111010011': 1, '100100110110010001': 1, '100000111110000100': 18, '010010011011001010': 10, '100001111100001000': 15, '000000000000000000': 13, '101011101000101110': 5, '011101000101110100': 13, '000100110110010100': 4, '101101100100111000': 1, '000101110100010111': 8, '101010101010101111': 1, '101100100110110010': 6, '001101100100110110': 8, '100010111010000111': 1, '001100100110110010': 4, '100110110010011101': 1, '101101100100110110': 17, '011011001001101011': 2, '101010101010101010': 1, '000101110100011000': 4, '000010111010001010': 1, '001100100110110011': 7, '111011001001110011': 1, '111011001001101101': 4, '000011111000010000': 6, '001111100000111101': 1, '101010101010101110': 1, '101010101010100101': 1, '101000101110100011': 14, '111100000111110101': 1, '001101100100110101': 3, '011100000111110000': 12, '011010001011100001': 1, '111111000001110111': 1, '110010011011001110': 1, '011110000011110111': 1, '010100010111001111': 1, '101101100100110111': 5, '000010111010001101': 1, '111101000101010110': 1, '000100110110010011': 9, '111011001001101100': 2, '011101000101111001': 1, '101010101010101011': 12, '010010011010101000': 1, '100100110110010011': 7, '001010101010101011': 14, '100101110100010100': 1, '001000101110100011': 15, '111101000101110100': 9, '001011101000101111': 9, '100011111000010000': 8, '000011110111000001': 1, '000000111110000100': 22, '110101010101010110': 4, '100100110110010100': 3, '011010001011101010': 1, '110010011011001010': 19, '000101110100011001': 1, '100011111000001010': 1, '001001101100100111': 14, '101100100110110100': 1, '010011011001001101': 2, '011000001111100001': 11, '011011001001101101': 6, '000100110110010101': 1, '010001011101000101': 2, '000011111000010001': 2, '010001011101000110': 11, '010100010111010001': 13, '100101110100010011': 2, '110110010011011001': 9, '010110010011011001': 11, '001100100110101111': 1, '101011101000101101': 1, '010011011001001110': 9, '100010111010001101': 2, '000111110000011111': 14, '110010011011001000': 1, '100110110010010000': 1, '110011011001001110': 14, '010101010101010101': 9, '111100000111110100': 1, '001111100000111110': 10, '110101010101010101': 13, '111100000111110000': 11, '011110000011111001': 2, '111010001011101001': 14, '110000011111000010': 10, '100101110100011000': 3, '011110000011110100': 1, '111111000001111100': 12, '001110100010111010': 11, '011010001011101000': 2, '101011101000110000': 1, '111100000111110001': 11, '110001011101000110': 19, '001001101100100110': 1, '101001101100101000': 2, '100011111000001111': 7, '011101000101111011': 1, '101100100110110000': 1, '011110000011111000': 13, '011100000111110010': 1, '011010001011101001': 17, '010011011001001111': 1, '010100010111010011': 1, '101100100110110011': 4, '100101110100010110': 1, '011100000111111000': 1, '110000011110111101': 1, '000010111010001100': 12, '110010011011001011': 1, '101010101010110000': 1, '010111010001011101': 15, '101010101010100111': 1, '011001001101100101': 13, '010011011001010101': 1, '100110110010011011': 11}\n"
     ]
    }
   ],
   "source": [
    "n = 9\n",
    "bigN = 437\n",
    "y = 7\n",
    "nx = 18\n",
    "x = QuantumRegister(nx, 'x')\n",
    "z = QuantumRegister(n, 'z')\n",
    "a = QuantumRegister(n, 'a')\n",
    "b = QuantumRegister(n+1, 'b')\n",
    "c = QuantumRegister(n, 'c')\n",
    "bN = QuantumRegister(n, 'bN')\n",
    "t = QuantumRegister(1, 't')\n",
    "# cregz = ClassicalRegister(n, 'cregz')\n",
    "cregx = ClassicalRegister(nx, 'cregx')\n",
    "# qc = QuantumCircuit(x, z, a, b, c, bN, t, cregz, cregx)\n",
    "qc = QuantumCircuit(x, z, a, b, c, bN, t, cregx)\n",
    "qc.h(x)\n",
    "qc.x(z[0]) # z = 1 init\n",
    "qc.x(bN[0]) # bN = 437 = 110110101(2)\n",
    "qc.x(bN[2])\n",
    "qc.x(bN[4])\n",
    "qc.x(bN[5])\n",
    "qc.x(bN[7])\n",
    "qc.x(bN[8])\n",
    "\n",
    "qc.append(create_mod_exp(n, bigN, y, nx), x[:] + z[:] + a[:] + b[:] + c[:] + bN[:] + list(t))\n",
    "qc.append(myqft(nx).inverse(), x)\n",
    "# qc.measure(z, cregz)\n",
    "qc.measure(x, cregx)\n",
    "display(qc.draw())\n",
    "backend = Aer.get_backend('qasm_simulator')\n",
    "job = backend.run(transpile(qc, backend), shots=1024)\n",
    "counts = job.result().get_counts()\n",
    "print(counts)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Fraction(43, 66)"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from fractions import Fraction\n",
    "Fraction(170791/2**18).limit_denominator(437)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "23\n",
      "19\n"
     ]
    }
   ],
   "source": [
    "import math\n",
    "\n",
    "print(math.gcd(7**33+1, 437))\n",
    "print(math.gcd(7**33-1, 437))"
   ]
  }
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