QuantumCircuitTest2.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 454.315x200.667 with 1 Axes>"
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from qiskit import transpile,QuantumRegister,ClassicalRegister,QuantumCircuit\n",
    "\n",
    "# 创建包含1个量子比特的量子寄存器\n",
    "qr=QuantumRegister(1)\n",
    "# 创建包含1个经典比特的经典寄存器\n",
    "cr=ClassicalRegister(1)\n",
    "# 创建量子电路qc，包含量子寄存器qr和经典寄存器cr\n",
    "qc=QuantumCircuit(qr,cr)\n",
    "# 添加Hadamard门到量子电路qc的第0个量子比特\n",
    "qc.h(0)\n",
    "# 测量量子电路qc的第0个量子比特，并将结果存储到第0个经典比特\n",
    "qc.measure(0,0)\n",
    "# 如果第0个经典比特的值为0，则添加X门到量子电路qc的第0个量子比特\n",
    "qc.x(0).c_if(cr,0)\n",
    "# 再次测量量子电路qc的第0个量子比特，并将结果存储到第0个经典比特\n",
    "qc.measure(0,0)\n",
    "# 绘制量子电路qc\n",
    "qc.draw('mpl')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'1': 1024}\n"
     ]
    }
   ],
   "source": [
    "from qiskit.providers.basic_provider import BasicSimulator\n",
    "backend=BasicSimulator()\n",
    "tqc=transpile(qc,backend)\n",
    "counts=backend.run(tqc).result().get_counts()\n",
    "\n",
    "print(counts)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1308.86x1036.78 with 1 Axes>"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from qiskit import QuantumCircuit\n",
    "# 创建一个有12个量子比特的量子电路\n",
    "qc=QuantumCircuit(12)\n",
    "# 建立量子纠缠\n",
    "for idx in range(5):\n",
    "    qc.h(idx)\n",
    "    # 如果控制量子比特处于∣0⟩态，则目标量子比特的状态不变\n",
    "    # 如果控制量子比特处于∣1⟩态，则目标量子比特的状态翻转\n",
    "    qc.cx(idx,idx+5)\n",
    "qc.cx(1,7)\n",
    "qc.x(8)\n",
    "qc.cx(1,9)\n",
    "qc.x(7)\n",
    "qc.cx(1,11)\n",
    "qc.swap(6,11)\n",
    "qc.swap(6,9)\n",
    "qc.swap(6,10)\n",
    "qc.x(6)\n",
    "qc.draw('mpl')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "9"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "qc.depth()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "base",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.11.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}