QuantumCircuitTest1.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 371.107x284.278 with 1 Axes>"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from qiskit import QuantumCircuit\n",
    "\n",
    "circ=QuantumCircuit(3)\n",
    "\n",
    "circ.h(0)\n",
    "\n",
    "# bell state\n",
    "# 贝尔态（Bell State）是量子信息科学中的一种基本概念，代表了两个量子比特（qubits）之间的最大纠缠态\n",
    "circ.cx(0,1)\n",
    "\n",
    "# GHZ态（Greenberger-Horne-Zeilinger态）是量子信息科学中的一种多体纠缠态\n",
    "# GHZ态涉及三个或更多量子比特的纠缠，并且是展示量子力学非局域性和纠缠特性的一个重要例子\n",
    "circ.cx(0,2)\n",
    "\n",
    "circ.draw('mpl')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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vuu7d3Nxs87xZWVnIyMiASqXC559/7tCTfPYe8z+61b97z4DM//uXw8ZEwwuP+QcpLi4Oubm5KCkpsWm+gwcPYvv27VAqlcjJycGiRYscOi5HHPPzWJ/6w/gBrFq1Cunp6cjLy0NVVRWio6OfOM8HH3yAzZs3Qy6XIzs7G8uXL3f4uOw5nuOxvlgGc8wPiSRJkqSUlBQJgBQeHi6dO3eu1zSdTift2rWr5/Fnn30mKRQKSSaTSUeOHHH2UAf0zdkL0ras96R3/vmZZDabXT0cGsZ4nf+he/fuYfny5Th79iyArnfuBQUFQafT4caNG5Akqeceb5VKBaPRCD8/vwFP7qWmpiI1NdUp4wf+uIffaOzAi39djLiocKetm9wP9wkf8vf3R0FBAT788EMcO3YM5eXl+P333xEUFISkpKRe79IzGruu9xoMBhQXF/e7TEefA3gS3s1HtuCW34Ocu/gLfjhfhtX/NY9bfXoixu9h2tuNGDlyBK/r0xMxfiJB8V19RIJi/ESCYvxEgmL8RIJi/ESCYvxEgmL8RIJi/ESCYvxEgmL8RIJi/ESCYvxEgmL8RIJi/ESCYvxEgmL8RIJi/ESCYvxEgmL8RIJi/ESCYvxEgmL8RIJi/ESCYvxEgmL8RIJi/ESCYvxEgmL8RIJi/ESCYvxEgmL8RIJi/ESCYvxEgmL8RIJi/ESCYvxEgmL8RIJi/ESCYvxEgvp/SUNHR/dUePgAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 305.525x200.667 with 1 Axes>"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from qiskit import transpile,QuantumRegister,ClassicalRegister,QuantumCircuit\n",
    "\n",
    "qr=QuantumRegister(1)\n",
    "cr=ClassicalRegister(1)\n",
    "qc=QuantumCircuit(qr,cr)\n",
    "qc.h(0)\n",
    "qc.measure(0,0)\n",
    "qc.draw('mpl')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'0': 510, '1': 514}\n"
     ]
    }
   ],
   "source": [
    "from qiskit.providers.basic_provider import BasicSimulator\n",
    "\n",
    "backend=BasicSimulator()\n",
    "# 把qc转译为特定后端可以执行的指令\n",
    "# 转译过程可能包括优化电路，重新排列量子比特以适应后端的限制等步骤\n",
    "tqc=transpile(qc,backend)\n",
    "# backend.run(tqc)在backend指定的模拟器上运行转译后的量子电路tqc，返回一个Job对象。\n",
    "# .result()调用这个Job对象的方法，等待模拟执行完成并获取结果，返回一个Result对象。\n",
    "# .get_counts()方法从Result对象中提取执行结果，特别是测量结果的计数，这些计数显示了每个可能的测量结果出现的次数。\n",
    "counts=backend.run(tqc).result().get_counts()\n",
    "\n",
    "print(counts)\n"
   ]
  }
 ],
 "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
}