qiskit.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Total count for 00 and 11 are: {'11': 511, '00': 489}\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 454.517x284.278 with 1 Axes>"
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from qiskit import QuantumCircuit, Aer, transpile, assemble\n",
    "from qiskit_aer import AerSimulator\n",
    "from qiskit.visualization import plot_histogram\n",
    "\n",
    "simulator = AerSimulator()\n",
    "circuit = QuantumCircuit(2, 2)\n",
    "\n",
    "circuit.h(0)\n",
    "\n",
    "circuit.cx(0, 1)\n",
    "\n",
    "circuit.measure([0,1], [0,1])\n",
    "\n",
    "compiled_circuit = transpile(circuit, simulator)\n",
    "\n",
    "job = simulator.run(compiled_circuit, shots=1000)\n",
    "\n",
    "res = job.result()\n",
    "\n",
    "counts = res.get_counts(compiled_circuit)\n",
    "\n",
    "print(\"\\nTotal count for 00 and 11 are:\", counts)\n",
    "\n",
    "circuit.draw(\"mpl\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['.i 3', '.o 1', '.p 3', '.type esop', '110 1', '011 1', '1-1 1', '.e']\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/niliwei/.local/lib/python3.7/site-packages/ipykernel_launcher.py:57: DeprecationWarning: Using a qobj for run() is deprecated as of qiskit-aer 0.9.0 and will be removed no sooner than 3 months from that release date. Transpiled circuits should now be passed directly using `backend.run(circuits, **run_options).\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 500x500 with 1 Axes>"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from qiskit import QuantumCircuit, Aer, transpile, assemble\n",
    "from qiskit.visualization import plot_histogram, circuit_drawer, plot_bloch_multivector, plot_circuit_layout\n",
    "from qiskit.providers.fake_provider import FakeVigoV2\n",
    "def parse_esop(esop_lines):\n",
    "    num_inputs = int(esop_lines[0].split()[1])\n",
    "    num_outputs = int(esop_lines[1].split()[1])\n",
    "    num_cubes  = int(esop_lines[2].split()[1])\n",
    "    \n",
    "    # 创建量子电路\n",
    "    esop_circuit = QuantumCircuit(num_inputs, num_outputs)\n",
    "\n",
    "    # Add Toffoli gates dynamically based on ESOP strings\n",
    "    for line in esop_lines[4:-1]:  # Skip .type esop and .e lines\n",
    "        line = line.split()\n",
    "        controls = [i for i, val in enumerate(line[0]) if val == '1']\n",
    "        target = [i for i, val in enumerate(line[0]) if val == '-']\n",
    "        \n",
    "        if len(controls) > 0:\n",
    "            if len(target) > 0:\n",
    "                esop_circuit.mcx(controls, target[0])\n",
    "            elif len(controls) > 1:         # If no '-' (don't care) positions, set target to the last control\n",
    "                esop_circuit.mcx(controls[:-1], controls[-1])\n",
    "            elif len(controls) == 1:        # Apply X gate for a single control qubit\n",
    "                print(controls[0])\n",
    "                esop_circuit.x( controls[0] )\n",
    "\n",
    "    esop_circuit.measure_all()\n",
    "\n",
    "    return esop_circuit\n",
    "\n",
    "\n",
    "# 读取 ESOP 文件\n",
    "esop_file_content = \"\"\"\n",
    ".i 3\n",
    ".o 1\n",
    ".p 3\n",
    ".type esop\n",
    "110 1\n",
    "011 1\n",
    "1-1 1\n",
    ".e\n",
    "\"\"\"\n",
    "\n",
    "esop_lines = esop_file_content.strip().split('\\n')\n",
    "\n",
    "print(esop_lines)\n",
    "\n",
    "# 解析 ESOP 并创建量子电路\n",
    "esop_circuit = parse_esop(esop_lines)\n",
    "\n",
    "# 使用 Aer 模拟器模拟电路\n",
    "simulator = Aer.get_backend('aer_simulator')\n",
    "compiled_circuit = transpile(esop_circuit, simulator)\n",
    "qobj = assemble(compiled_circuit)\n",
    "\n",
    "# 运行模拟器\n",
    "result = simulator.run(qobj).result()\n",
    "\n",
    "# # 绘制结果\n",
    "# counts = result.get_counts(esop_circuit)\n",
    "# plot_histogram(counts)\n",
    "\n",
    "backend = FakeVigoV2()\n",
    "new_circ_lv3 = transpile(esop_circuit, backend=backend, optimization_level=3)\n",
    "\n",
    "plot_circuit_layout(new_circ_lv3, backend)\n",
    "\n",
    "# # 绘制图形\n",
    "# esop_circuit.remove_final_measurements(inplace=True)\n",
    "# esop_circuit.draw(\"mpl\")\n",
    "# circuit_drawer(esop_circuit, output='mpl', filename=\"circuit.pdf\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 500x500 with 1 Axes>"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import numpy as np\n",
    "from qiskit import QuantumCircuit, transpile\n",
    "from qiskit.providers.fake_provider import FakeVigoV2\n",
    "from qiskit.visualization import plot_circuit_layout\n",
    "from qiskit.tools.monitor import job_monitor\n",
    "from qiskit.providers.fake_provider import FakeVigoV2\n",
    "import matplotlib.pyplot as plt\n",
    "ghz = QuantumCircuit(3, 3)\n",
    "ghz.h(0)\n",
    "for idx in range(1,3):\n",
    "    ghz.cx(0,idx)\n",
    "ghz.measure(range(3), range(3))\n",
    "backend = FakeVigoV2()\n",
    "new_circ_lv3 = transpile(ghz, backend=backend, optimization_level=3)\n",
    "plot_circuit_layout(new_circ_lv3, backend)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "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": "3.7.17"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}