product_johnson_graph_search.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "338ddade-1e33-4d7a-8cce-5aca9235e812",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Some parts of the following code are yet to be parametrized to the general J(n,k) x J(n,k) graph\n",
    "# The used example is J(4,2) x J(4,2)\n",
    "import math\n",
    "import scipy.special\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "from qiskit import QuantumRegister, ClassicalRegister, QuantumCircuit, Aer, transpile, BasicAer\n",
    "from qiskit.circuit.library import SwapGate\n",
    "from qiskit.tools.visualization import plot_histogram"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "b46f39dd-a6c4-48de-83d6-e733cf6095b8",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Johnson graph J(n,k) main parameters\n",
    "n = 4\n",
    "k = 2\n",
    "\n",
    "nstates = int(scipy.special.binom(n, k))  # Number of vertices in a J(n,k) graph\n",
    "degree = k*(n-k)  # J(n,k) degree\n",
    "cnum = math.ceil(math.log2(int(scipy.special.binom(n, 2))))  # Required number of qubits for the coin register\n",
    "\n",
    "state1_ = QuantumRegister(n, 'state1')\n",
    "state2_ = QuantumRegister(n, 'state2')\n",
    "sum_ = QuantumRegister(n, 'sum')\n",
    "coin_ = QuantumRegister(cnum, 'coin')\n",
    "clas_ = ClassicalRegister(n*2, 'measure')\n",
    "qc = QuantumCircuit(state1_, state2_, sum_, coin_, clas_)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "b72452b0-19e7-430a-8c09-c5a8910bb71d",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Grover diffuser\n",
    "grover_op = QuantumCircuit(cnum, name='grover_op')\n",
    "for i in range(cnum):\n",
    "    grover_op.h(i)\n",
    "    grover_op.x(i)\n",
    "grover_op.h(cnum-1)\n",
    "grover_op.mcx([i for i in range(0, cnum-1)],[cnum-1])\n",
    "grover_op.h(cnum-1)\n",
    "for i in range(cnum):\n",
    "    grover_op.x(i)\n",
    "    grover_op.h(i)\n",
    "grover_gate = grover_op.to_gate()\n",
    "grover_control_gate = grover_op.to_gate().control(n)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "e920f7aa-77b7-4268-b35e-ea9bf1ad6ecb",
   "metadata": {},
   "outputs": [],
   "source": [
    "def init():\n",
    "    # Dicke state initialization on both state registers (TODO)\n",
    "    qc.initialize([\n",
    "        0, 0, 0, 1/np.sqrt(nstates), 0,\n",
    "        1/np.sqrt(nstates), 1/np.sqrt(nstates), 0, 0,\n",
    "        1/np.sqrt(nstates), 1/np.sqrt(nstates), 0, 1/np.sqrt(nstates),\n",
    "        0, 0, 0\n",
    "    ], [state1_[0], state1_[1], state1_[2], state1_[3]])\n",
    "    qc.initialize([\n",
    "        0, 0, 0, 1/np.sqrt(nstates), 0,\n",
    "        1/np.sqrt(nstates), 1/np.sqrt(nstates), 0, 0,\n",
    "        1/np.sqrt(nstates), 1/np.sqrt(nstates), 0, 1/np.sqrt(nstates),\n",
    "        0, 0, 0\n",
    "    ], [state2_[0], state2_[1], state2_[2], state2_[3]])\n",
    "\n",
    "    # Uniform superposition initialization on the coin register\n",
    "    for i in range(cnum):\n",
    "        qc.h(coin_[i])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "ba352b58-79b4-489f-9e6d-68b4ab204b4f",
   "metadata": {},
   "outputs": [],
   "source": [
    "# The CNOT gates encode the following matrix:\n",
    "#  [ 1 1 0 0,\n",
    "#    1 0 1 1,\n",
    "#    1 1 1 0,\n",
    "#    0 1 0 1 ] for state_1\n",
    "#  [ 1 0 1 0,\n",
    "#    0 1 1 0,\n",
    "#    1 1 0 1,\n",
    "#    1 1 1 1 ] for state_2\n",
    "# The controlled-Grover application checks whether a k-element subsets of the matrix's columns\n",
    "#  XORs to the syndrome s = [1, 1, 0, 0]\n",
    "def info_down():\n",
    "    qc.barrier()\n",
    "\n",
    "    qc.cx(state1_[0], sum_[0])\n",
    "    qc.cx(state1_[0], sum_[1])\n",
    "    qc.cx(state1_[0], sum_[2])\n",
    "    qc.cx(state1_[1], sum_[0])\n",
    "    qc.cx(state1_[1], sum_[2])\n",
    "    qc.cx(state1_[1], sum_[3])\n",
    "    qc.cx(state1_[2], sum_[1])\n",
    "    qc.cx(state1_[2], sum_[2])\n",
    "    qc.cx(state1_[3], sum_[1])\n",
    "    qc.cx(state1_[3], sum_[3])\n",
    "    \n",
    "    qc.cx(state2_[0], sum_[0])\n",
    "    qc.cx(state2_[0], sum_[2])\n",
    "    qc.cx(state2_[0], sum_[3])\n",
    "    qc.cx(state2_[1], sum_[1])\n",
    "    qc.cx(state2_[1], sum_[2])\n",
    "    qc.cx(state2_[1], sum_[3])\n",
    "    qc.cx(state2_[2], sum_[0])\n",
    "    qc.cx(state2_[2], sum_[1])\n",
    "    qc.cx(state2_[2], sum_[3])\n",
    "    qc.cx(state2_[3], sum_[2])\n",
    "    qc.cx(state2_[3], sum_[3])\n",
    "    \n",
    "def info_down_unc():\n",
    "    qc.barrier()\n",
    "    \n",
    "    qc.cx(state2_[3], sum_[3])\n",
    "    qc.cx(state2_[3], sum_[2])\n",
    "    qc.cx(state2_[2], sum_[3])\n",
    "    qc.cx(state2_[2], sum_[1])\n",
    "    qc.cx(state2_[2], sum_[0])\n",
    "    qc.cx(state2_[1], sum_[3])\n",
    "    qc.cx(state2_[1], sum_[2])\n",
    "    qc.cx(state2_[1], sum_[1])\n",
    "    qc.cx(state2_[0], sum_[3])\n",
    "    qc.cx(state2_[0], sum_[2])\n",
    "    qc.cx(state2_[0], sum_[0])\n",
    "    \n",
    "    qc.cx(state1_[3], sum_[3])\n",
    "    qc.cx(state1_[3], sum_[1])\n",
    "    qc.cx(state1_[2], sum_[2])\n",
    "    qc.cx(state1_[2], sum_[1])\n",
    "    qc.cx(state1_[1], sum_[3])\n",
    "    qc.cx(state1_[1], sum_[2])\n",
    "    qc.cx(state1_[1], sum_[0])\n",
    "    qc.cx(state1_[0], sum_[2])\n",
    "    qc.cx(state1_[0], sum_[1])\n",
    "    qc.cx(state1_[0], sum_[0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "eb7034a6-85ca-42a1-af5b-0fa4b95c20f4",
   "metadata": {},
   "outputs": [],
   "source": [
    "# The coin phase first applies a Grover operator regardless of the current state space, then reapplies it according to the oracle's output\n",
    "def coin_phase():\n",
    "    qc.barrier()\n",
    "    \n",
    "    qc.append(grover_gate, [coin_[i] for i in range(cnum)])\n",
    "    \n",
    "    qc.x(sum_[2])\n",
    "    qc.x(sum_[3])\n",
    "    qc.append(grover_control_gate, [sum_[i] for i in range(n)] + [coin_[i] for i in range(cnum)])\n",
    "    qc.x(sum_[3])\n",
    "    qc.x(sum_[2])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "52267f21-814d-487c-96be-3d08afe2ec2a",
   "metadata": {},
   "outputs": [],
   "source": [
    "# SWAP sequence (TODO)\n",
    "swapping = SwapGate().control(num_ctrl_qubits=cnum)\n",
    "def shift_phase():    \n",
    "    qc.barrier()\n",
    "    \n",
    "    qc.append(swapping, [coin_[0], coin_[1], coin_[2], state1_[0], state1_[1]])\n",
    "    qc.append(swapping, [coin_[0], coin_[1], coin_[2], state2_[0], state2_[1]])\n",
    "    qc.x(coin_[0])\n",
    "    qc.append(swapping, [coin_[0], coin_[1], coin_[2], state1_[2], state1_[3]])\n",
    "    qc.append(swapping, [coin_[0], coin_[1], coin_[2], state2_[2], state2_[3]])\n",
    "    qc.x(coin_[0])\n",
    "    qc.x(coin_[1])\n",
    "    qc.append(swapping, [coin_[0], coin_[1], coin_[2], state1_[0], state1_[2]])\n",
    "    qc.append(swapping, [coin_[0], coin_[1], coin_[2], state2_[0], state2_[2]])\n",
    "    qc.x(coin_[0])\n",
    "    qc.append(swapping, [coin_[0], coin_[1], coin_[2], state1_[1], state1_[3]])\n",
    "    qc.append(swapping, [coin_[0], coin_[1], coin_[2], state2_[1], state2_[3]])\n",
    "    qc.x(coin_[0])\n",
    "    qc.x(coin_[1])\n",
    "    qc.x(coin_[2])\n",
    "    qc.append(swapping, [coin_[0], coin_[1], coin_[2], state1_[0], state1_[3]])\n",
    "    qc.append(swapping, [coin_[0], coin_[1], coin_[2], state2_[0], state2_[3]])\n",
    "    qc.x(coin_[0])\n",
    "    qc.append(swapping, [coin_[0], coin_[1], coin_[2], state1_[1], state1_[2]])\n",
    "    qc.append(swapping, [coin_[0], coin_[1], coin_[2], state2_[1], state2_[2]])\n",
    "    qc.x(coin_[0])\n",
    "    qc.x(coin_[2])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "d7b38078-91bc-4e24-8dd8-e12b60d381d4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<qiskit.circuit.instructionset.InstructionSet at 0x7f4b47173640>"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "init()\n",
    "nsteps = 2\n",
    "for _ in range(nsteps):\n",
    "    info_down()\n",
    "    coin_phase()\n",
    "    info_down_unc()\n",
    "    shift_phase()\n",
    "    \n",
    "qc.barrier()\n",
    "\n",
    "qc.measure([state1_[i] for i in range(n)] + [state2_[i] for i in range(n)], [clas_[i] for i in range(2*n)])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "186d4cee-e219-462c-9ee3-51fbdc4debfd",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "<frozen importlib._bootstrap>:219: RuntimeWarning: scipy._lib.messagestream.MessageStream size changed, may indicate binary incompatibility. Expected 56 from C header, got 64 from PyObject\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 504x360 with 1 Axes>"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Transpile for simulator\n",
    "simulator = Aer.get_backend('aer_simulator')\n",
    "circ = transpile(qc, simulator)\n",
    "\n",
    "# Run and get counts\n",
    "result = simulator.run(circ).result()\n",
    "counts = result.get_counts(circ)\n",
    "plot_histogram(counts)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "126fd5ae-9568-4a57-b695-88d97c421c7e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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RP0576aWXZvDgwfUCvPe7/vrrM2LEiFKAt0G3bt2SJK+99lqSZNasWUlSL8SbPXt2kmTSpEmlAC9JampqkiQdOnRIkrzyyisZOHBgunfvnl69euWRRx7Z6v5nzpyZmTNnpqysbLvUBh/8XOTSs753tp6VUkoppZRSSu289VE02hBv8eLFmT9/fk499dRNHn/xxRezaNGiDB8+fKNjr776apJ/BnGzZ89Ohw4d0q5du9I5s2fPTps2bVJVVVXv2urq6lRUVJQ2wTj33HNzyimnZMGCBbn55ptz6qmn5h//+Mc2mSMAAAAAO4dGG+K9/vrrSZKOHTtu8vjSpUuT/DOoe7/p06end+/e2XvvvZOsD+zevwpvw1jfvn03uvbpp59Onz59kiRvvvlmHn300Zx99tlJkiOOOCIdOnTIQw89tFVzGDhwYAYOHJi6urrtUht88HORS8/63tl6VkoppZRSSim189ZH0WhDvA3h3Ny5czd5vHPnzkmShQsX1hufNm1aHnzwwVxwwQWlserq6nohXl1dXaqrqzcK8Wpra+udu3jx4rRr1y7NmjUrndOlS5csWrTo408MAAAAgJ1Oo93YorKyMoMHD85VV12Vpk2bpm/fvqmpqcn06dMzZsyYDBgwICNGjMjVV1+dVq1apWvXrnn44Ydz7bXX5txzz82XvvSlJMlLL72Ut99+u7S6bsPY8uXL069fv3q/uWDBgqxcubLeuQAAAACwJY02xEuSu+66KxMnTsyNN96YJUuWpLy8PP3790+PHj2SJLfddlsuvPDCTJgwIcuWLUuPHj1y44035swzzyzdY8MGFpva1OKDK/GefvrpJCmFeJWVlXnjjTeyZs2a0mq8l19+OZ06ddpOMwYAAABgR9SoQ7y2bdvmpptu+tDjbdq0yU9+8pPN3mPUqFEbPcM8evToTT7XPGbMmIwZM6be7/fv3z//8R//kfPOOy+PP/54/vKXv2Tw4MEfcSYAAAAA7MwadYhXBFOmTMkZZ5yRG264Ibvttlt+8YtfZLfddmvotgAAAAAoECFeA9vwrj0AAAAA+DCNdndaAAAAANhRCPEAAAAAoOCEeAAAAABQcEI8AAAAACg4IR4AAAAAFJwQDwAAAAAKTogHAAAAAAUnxAMAAACAghPiAQAAAEDBCfEAAAAAoOCEeAAAAABQcEI8AAAAACg4IR4AAAAAFJwQDwAAAAAKTogHAAAAAAUnxAMAAACAghPiAQAAAEDBCfEAAAAAoOCEeAAAAABQcEI8AAAAACg4IR4AAAAAFJwQDwAAAAAKTogHAAAAAAUnxAMAAACAghPiAQAAAEDBCfEAAAAAoOCEeAAAAABQcEI8AAAAACg4IR4AAAAAFJwQDwAAAAAKTogHAAAAAAUnxNuG5s6dm7KyskybNq2hWwEAAABgJ7JLQzewM2nfvn2eeOKJ9OnTp6FbAQAAAGAnIsTbhsrLy1NeXt7QbQAAAACwk/E47f+YOnVqhgwZktatW6dFixbp1atXbrnlliRJXV1dpkyZkj59+qRFixaprKzM+PHjs3Llynr3qKqqykknnVRvrF+/fjnttNNyzz33pKqqKi1atEiXLl1y5513fmJzAwAAAGDHZiVekksvvTRXXXVVxo4dm/POOy/NmzfPo48+mpqamtTW1ub000/P1KlTc8kll+Twww/P888/n4svvjhLliwphXHr1q3LnDlzMnLkyNJ9165dm7lz56ampiZLlizJt7/97bRq1SoTJ07MGWeckWOPPTatWrVqoFkDAAAAsKNo9CHer371q1x55ZW59dZbM3bs2NL4sccemySZPHly7rzzzsyYMSMDBgxIkgwePDhLly7NxIkTc/PNN6d169Z57rnnsnr16hx66KGle8yfPz9r1qzJgQcemPvvvz9Nmqxf+LhmzZocf/zxWbRoUXr16vUJzhYAAACAHVGjf5z20ksvzeDBg+sFeO93/fXXZ8SIEaUAb4Nu3bolSV577bUkyaxZs5KkXog3e/bsJMmkSZNKAV6S1NTUJEk6dOiQJJk4cWK6d++eJk2a5O67797q3mfOnJmZM2emrKxsu9QGH/xc5NKzvne2npVSSimllFJK7bz1UTTqEG/x4sWZP39+Tj311E0ef/HFF7No0aIMH7sa5H8AABgbSURBVD58o2Ovvvpqkn8GcbNnz06HDh3Srl270jmzZ89OmzZtUlVVVe/a6urqVFRUlDbBOOaYY/K73/0uRx555DaZFwAAAAA7l0b9OO3rr7+eJOnYseMmjy9dujTJP4O695s+fXp69+6dvffeO8n6wO79q/A2jPXt23eja59++un06dOn9P2II474WP0PHDgwSTJjxoyPdf2WXHztvyVZv7HH+z8XmZ4/OTti3ztizwAAAJA08pV4G8K5uXPnbvJ4586dkyQLFy6sNz5t2rQ8+OCDueCCC0pj1dXV9UK8urq6VFdXbxTi1dbWbnQuAAAAAGxOo16JV1lZmcGDB+eqq65K06ZN07dv39TU1GT69OkZM2ZMBgwYkBEjRuTqq69Oq1at0rVr1zz88MO59tprc+655+ZLX/pSkuSll17K22+/XW913UsvvZTly5enX79+9X5zwYIFWblyZb1zAQAAAGBzGnWIlyR33XVXJk6cmBtvvDFLlixJeXl5+vfvnx49eiRJbrvttlx44YWZMGFCli1blh49euTGG2/MmWeeWbrHhg0sNrWpxQdX4j399NNJIsQDAAAAYKs1+hCvbdu2uemmmz70eJs2bfKTn/xks/cYNWrURu/VGj169CbftTVmzJiMGTPm4zULAAAAQKPUqN+JVxSXXnppKioq8sQTT+Tcc89NRUVFXnzxxYZuCwAAAICCEOIVwHe/+9289tprWbNmTd5666289tprOeCAAxq6LQAAAAAKQogHAAAAAAUnxAMAAACAghPiAQAAAEDBCfEAAAAAoOCEeAAAAABQcEI8AAAAACg4IR4AAAAAFJwQDwAAAAAKTogHAAAAAAUnxAMAAACAghPiAQAAAEDBCfEAAAAAoOCEeAAAAABQcEI8AAAAACg4IR4AAAAAFJwQDwAAAAAKTogHAAAAAAUnxAMAAACAghPiAQAAAEDBCfEAAAAAoOCEeAAAAABQcEI8AAAAACg4IR4AAAAAFJwQDwAAAAAKTogHAAAAAAUnxAMAAACAghPiAQAAAEDBCfEAAAAAoOCEeAAAAABQcEI8AAAAACg4Id42NHfu3JSVlWXatGkN3QoAAAAAO5FdGrqBnUn79u3zxBNPpE+fPg3dCgAAAAA7ESHeNlReXp7y8vKGbgMAAACAnYzHaf/H1KlTM2TIkLRu3TotWrRIr169cssttyRJ6urqMmXKlPTp0yctWrRIZWVlxo8fn5UrV9a7R1VVVU466aR6Y/369ctpp52We+65J1VVVWnRokW6dOmSO++88xObGwAAAAA7Nivxklx66aW56qqrMnbs2Jx33nlp3rx5Hn300dTU1KS2tjann356pk6dmksuuSSHH354nn/++Vx88cVZsmRJKYxbt25d5syZk5EjR5buu3bt2sydOzc1NTVZsmRJvv3tb6dVq1aZOHFizjjjjBx77LFp1apVA80aAAAAgB1Fow/xfvWrX+XKK6/MrbfemrFjx5bGjz322CTJ5MmTc+edd2bGjBkZMGBAkmTw4MFZunRpJk6cmJtvvjmtW7fOc889l9WrV+fQQw8t3WP+/PlZs2ZNDjzwwNx///1p0mT9wsc1a9bk+OOPz6JFi9KrV69PcLYAAAAA7Iga/eO0l156aQYPHlwvwHu/66+/PiNGjCgFeBt069YtSfLaa68lSWbNmpUk9UK82bNnJ0kmTZpUCvCSpKamJknSoUOH/P3vf8+IESPSvXv3HHLIIRk6dGgWLly4Vb3PnDkzM2fOTFlZ2XapDT74ucilZ33vbD0rpZRSSimllNp566No1CHe4sWLM3/+/Jx66qmbPP7iiy9m0aJFGT58+EbHXn311STrg7hkfWDXoUOHtGvXrnTO7Nmz06ZNm1RVVdW7trq6OhUVFSkvL09ZWVnGjx+fBQsW5JlnnsmIESNy5plnbqspAgAAALATaNQh3uuvv54k6dix4yaPL126NMk/g7r3mz59enr37p299947yfrA7v2r8DaM9e3bd6Nrn3766fTp0ydJ0rp16wwZMqR07IgjjsjLL7+8Vf0PHDgwAwcOTF1d3XapDT74ucilZ33vbD0rpZRSSimllNp566No1CHehnBu7ty5mzzeuXPnJNno8dZp06blwQcfzAUXXFAaq66urhfi1dXVpbq6eqMQr7a2dqNz3++GG26otzkGAAAAADTqjS0qKyszePDgXHXVVWnatGn69u2bmpqaTJ8+PWPGjMmAAQMyYsSIXH311WnVqlW6du2ahx9+ONdee23OPffcfOlLX0qSvPTSS3n77bdLq+s2jC1fvjz9+vWr95sLFizIypUr6527wRVXXJGFCxfmD3/4w/adOAAAAAA7lEYd4iXJXXfdlYkTJ+bGG2/MkiVLUl5env79+6dHjx5Jkttuuy0XXnhhJkyYkGXLlqVHjx658cYb6723bsMGFpva1OKDK/GefvrpJNkoxLvyyitz3333Zfr06WnRosW2nygAAAAAO6xGH+K1bds2N91004ceb9OmTX7yk59s9h6jRo3a6Dnm0aNHb/LZ5jFjxmTMmDH1xq644opMmzYt06dPT+vWrbe+eQAAAAAahUYf4jW0efPm5fLLL88BBxyQQYMGlcarq6sbrCcAAAAAikWI18B69uz5kXcjAQAAAKBxadS70wIAAADAjkCIBwAAAAAFJ8QDAAAAgIIT4gEAAABAwQnxAAAAAKDghHgAAAAAUHBCPAAAAAAoOCEeAAAAABScEA8AAAAACk6IBwAAAAAFJ8QDAAAAgIIT4gEAAABAwQnxAAAAAKDghHgAAAAAUHBCPAAAAAAoOCEeAAAAABScEA8AAAAACk6IBwAAAAAFJ8QDAAAAgIIT4gEAAABAwQnxAAAAAKDghHgAAAAAUHBCPAAAAAAoOCEeAAAAABScEG8ndvvtt+fggw9O7969M2DAgDz//POf2G8PHTo0vXv3Tq9evTJ69OgsX778E/vt/61x48Zll112aeg2tlrnzp3Ts2fP9O7dO717986cOXMauqUtWrVqVcaOHZtPfepTOeigg3LzzTc3dEtb9Le//a30b9y7d+/st99+OeGEExq6LQAAABqJHSep4CN555138o1vfCPPP/982rZtmylTpmTChAn55S9/+Yn8/i9/+cvstddeSZLx48fnhz/8YS6//PJP5Lf/Nx555JGsXLmyodv4yH7/+9+noqKiodvYat/61rfSs2fP/Od//mfq6uqydOnShm5pi/bdd99UV1eXvg8ZMiQnnXRSwzUEAABAoyLE20nV1tamrq4uK1euTNu2bbNs2bK0b9/+E/v9DQFebW1t3n333ZSVlX1iv/1xrVmzJhdffHF+85vf5Oc//3lDt7PTWrFiRaZOnZrFixcnScrKyrLvvvs2cFcfzeuvv56nnnoqU6dObehWAAAAaCTK6urq6hq6CT6eQYMGJUlmzJixyeN33HFHzjnnnOy1117Za6+98sQTT5TCtU35/x6blbkLXi59X/K3t5Ik7fctr/c5Sbp3qcixg6o2298JJ5yQRx55JL169cq9996bli1bbu3Uttpbby/PHb95MLX/82e8uZ6bNmmSL51wdPZqtek+LrnkkhxwwAE566yzsssuu2Tt2rXbvN8Npj74eF5+dckWe06SQ3t0y5FVh3zovTp37pw2bdqkrq4uw4cPz+WXX55dd911m/f82l+X5p77Hy5931zfzXbbNWNHDUvz3ZttdJ9nnnkmZ5xxRqqqqvKnP/0pnTp1yg033JBOnTpt855r6+py130P5Y03/77FnpOkf7/PpF+vT23xvtdff33mzJmTW2+9dZv3DAAAAJvinXg7qffeey833XRTnnzyyfzlL3/J6NGjc9FFF232msP79MjKd1Znyd/eKgUcSTb6/Pbylenf9zNb7OHXv/51Xn/99VRUVOTuu+/++JPZjPLWrdK9a8UWe17yt7fS48BOHxrgPfvss/njH/+YM888c7v0+UH/57O9UvP28i32vPrdNTms96c3e69HHnkks2fPzmOPPZbnn38+P/jBD7ZLzxX77ZMO7cq36t+6b6/umwzwkmTt2rWprq7O6NGjM2vWrBx33HE566yztkvPTcrKMuCwg/O3N/++xZ6TpHePblt139tvvz2nn376tm0WAAAANkOIt5Oqrq5OXV1dPv3p9QHQqaeemscff3yz1+zRfPeMPnbgFu99wtD/k1Z77rFVfey222459dRT8+tf/3qrzv84Pt+/bzq0K9/sOZUd2mXg4b0/9Phjjz2W+fPnp0uXLuncuXPWrVuXzp07b7cNOfbea88cN+SIzZ5TluTk4YOye7PdNnve/vvvnyTZY4898uUvf3mL/53/N477/BFps9eemz2nx4GdNruaraKiIuXl5RkyZEiS9X+bTz/99Dbt8/06tmubIf+n72bPadq0SU4ZMTi7NG26xfvNnz8/S5cuzVFHHbWtWgQAAIAtEuLtpCoqKvL888/nL3/5S5Jk+vTp6dGjxxav+1TX/XP4oR9+Xu8e3XLwpw/Y7D1WrFiRJUvWPypaW1ubqVOnpmfPnh+h+49ml6ZNc8rwDw9gdtt1l5w8YlCaNvnwP/evfvWref311/PKK6/klVdeSdOmTfPKK6+kVatW26vt9P1M9/Q4sPOHHh9w2MHpWtlhs/dYtWpVKWhct25d7rnnnhx88MHbss16dm+2W04aPigf9obDli2a58RhR272HYjt2rVLz549M2vWrCTr/za3599HkgysOiSdOrb70OPHHHlY9ttn7626189+9rP8y7/8S5ps5u8JAAAAtjUbW+yk2rdvn2uuuSZHH310dt111+yzzz655ZZbkiR1dXWbDVm+MKgqC1/5S978+7J643vtuUe+eHT/Lf72ihUrcvzxx2fNmjWpra1NVVVVJkyY8L+b0Ba022fvDBv42fz2D/+90bHhR30ubdt8+LsAG0pZWVlOPGZAFv/ljax8Z3W9Y+3atsnRA/pt8R5vvPFGTjzxxNTW1mbdunX53Oc+l0suuWR7tZwk6bp/+ww47OA8/KdnNzp24jED0nKP5lu8x49//OOcffbZWbVqVVq3bp1///d/3x6tljRp0iQnDx+cf/3p3fnHe/Xfddi1sn36f7bXVt2nrq4ud9xxR+69997t0SYAAAB8KBtb7MC2tLHFh3noidl5/Y03c8pxR33o6rXFr/8tU27/r9KGEUny5VOGp1vnjh+33e2utq4u//5/f5uXFr9eGjvogMqMHTWs0Lvj/nnhovznPb8vfW/apEnGjT0hHfbd/CPCDWnt2nW58bZf569La0pj/Q7+1FY9jt2Q/lT95/zq94+UvjfbbdeMP2v0Fh8RBgAAgIbmebAGsGbNmgb77XfX/COP/OnZvLd23Wbf/1XZYd8M/tyhpe/9+36m0AFesn4Tg5OHD0qz3dbvzNqiebOMOmbzj3YWwae7dcphhxxU+n70gH6FDvCSZJddmuaUEYPTtOn6/4XsvdeeOe6ozzVwV1v22UMOykEHVJa+f/Ho/gI8AAAAdgiFCfEuv/zylJWVZe7cuRk+fHhatmyZ9u3b57rrrkuS3H///enTp09atGiRQw89NI8++mi96x9//PEMGzYse+21V5o3b54BAwZsdM5TTz2Vk08+OZWVlWnevHm6deuW888/P8uW1X9sdOHChRk9enT222+/NGvWLB07dswXv/jFvPXW+h0sZ8yYkbKyso1WwG1qfNCgQenXr18eeOCBfPazn83uu++eSZMmJUleffXVnHHGGaXf+fSnP73dHyt8Yta8vPPumny+f58tnnvUEX1Ssd8+2be8dY4ZeNh27Wtbad2qZY7/n0d+Txx2ZPZs2aKBO9o6w4/6XPZuvWc6V+yXIw/bfu+025ba71ueoQP6rd+AY8TgNNvCBhxFUFZWllHHHpk9mu+ent07p0/PAxu6JQAAANgqhXsn3kknnZQvf/nL+eY3v5nbbrstF154Yd56663cd999mTBhQvbcc89ccsklOf744/PKK69kzz33zAMPPJARI0bkqKOOyk9/+tM0a9YsP/rRj/L5z38+jz76aD772c8mSV555ZX06tUrp59+evbaa68sXLgw3/ve9zJr1qw89thjpR6GDx+eVq1aZfLkyWnXrl3++te/Zvr06Vm9evWHtb1ZixYtyjnnnJNLLrkkBx54YPbYY4+8/vrrqaqqSsuWLXPNNdekY8eOmTZtWs4555ysWrUq3/jGN7Z435cWr9884uJr/+0j9/Sj237zkc6/9Ie3fOTfaGi3/2Z6Q7fwkdW8vSL/73XbN8jdHqb8fGpDt/CRzVvwSr7z/Z80dBsAAAA0YtdcdM5Wn1u4EO8b3/hGvvKVryRJBgwYkKlTp+aHP/xhFixYkM6dOydJmjdvns9//vN54IEHMmrUqHzta19Lv379Mm3atNKOkcOGDctnPvOZXHbZZZk2bVqSZPTo0fV+q3///unevXuOPPLIVFdXp3fv3nnzzTezYMGC/OY3v8nxxx9fOvfkk0/+2HN68803c99996Wqqqo0ds4552T16tWZNWtW9ttvvyTJ0UcfneXLl+eKK67IV77ylTRr1uxj/yYAAAAAO4/ChXhf+MIXSp+bNWuWrl27Zt26daUAL0kOOmj9+8NeffXVLFy4MC+88ELGjx+f2tra1NbWls4bMmRIfvrTn5a+r1y5Mtdcc03uvPPOvPrqq/XeTff888+nd+/eKS8vT9euXXPxxRfnjTfeyJFHHln6vY+rffv29QK8JJk2bVqGDh2atm3bZu3af+6Wecwxx+SWW27Js88+W1pB+GG6VrZPsnWp7btr/pHvT/lFKju2yxmjj/kYswAAAACgoRQuxNt7773rfd9tt92y++67bzSWJO+++27eeOONJMm4ceMybty4Td5z9erVad68ec4666zcf//9ufzyy9OnT5/sueeeefXVV3PiiSeWHpUtKyvLgw8+mEmTJmXChAlZunRpKioqMm7cuFx00UUfa5OE9u3bbzT2xhtv5K677spdd921yWvefPPNLd535dr1G1N8lMdpn3tx8cd6/BYAAACAbWuHfpz2oyovX7+L5+WXX57hw4dv8pxmzZrl3Xffza9//etMnDgx3/rWt0rHPripRZJ06dIlP/3pT1NXV5d58+bllltuyXe+8520bds2X/7yl0uh4gd3md2w8cUHbSr4Ky8vz2GHHZaJEydu8poDD9zyC/eHHHfKFs8BAAAAYMe3w4d4n/rUp9K1a9fMmTMnl1122Yeet2bNmqxduza77rprvfFbbvnwDRvKysrymc98Jj/84Q8zZcqUzJkzJ0nSqVOnJMmcOXMybNiw0vn33nvvVvf9hS98IQ899FAOOuigtGzZcquve7+tTWsfemJ2fv/wkxn3/4zM/u33/Vi/BQAAAEDD2eFDvLKyskyZMiXDhw/P8ccfn9NPPz377rtvli5dmlmzZuW9997Lddddl7322itHHHFEfvCDH6Rdu3bp0KFD7rrrrvzxj3+sd79nn302X//613PyySeXVsP98pe/zOrVq0uBXfv27TN48OBcc801KS8vT8eOHfNf//Vfefjhh7e67+9+97upqqpK//798/Wvfz0HHHBAVqxYkeeeey4zZszIb3/7223y7/Pumn/kkT89m4MOqBTgAQAAAOygmjR0A9vC0UcfnccffzxNmjTJV7/61QwdOjTf/OY3M2/evAwcOLB03h133JHPfe5zGT9+fE477bS89957ufPOO+vda7/99kvnzp3zr//6rxk5cmROOumkzJkzJ3fddVe9TTduv/32DBgwIBdccEFOO+201NXVZfLkyVvdc8eOHfPUU0/liCOOyBVXXJGhQ4fm7LPPzr333pshQ4b87/9R/kfNshVpvnuzfL5/n212TwAAAAA+WWV1dXV1Dd0E21dtbW2aNNkp8loAAACARkmIBwAAAAAFZ3kWAAAAABScEA8AAAAACk6IBwAAAAAFJ8QDAAAAgIIT4gEAAABAwQnxAAAAAKDghHgAAAAAUHBCPAAAAAAoOCEeAAAAABScEA8AAAAACk6IBwAAAAAFJ8QDAAAAgIIT4gEAAABAwQnxAAAAAKDghHgAAAAAUHBCPAAAAAAoOCEeAAAAABScEA8AAAAACk6IBwAAAAAFJ8QDAAAAgIIT4gEAAABAwQnxAAAAAKDghHgAAAAAUHBCPAAAAAAoOCEeAAAAABScEA8AAAAACk6IBwAAAAAF9/8Dw+uGvR0Y07AAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 1656.49x7127.68 with 1 Axes>"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "qc.draw()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "522359e5-290b-4b8e-8987-5451a02cc0ad",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Qiskit v0.35.0 (ipykernel)",
   "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": "3.8.13"
  },
  "widgets": {
   "application/vnd.jupyter.widget-state+json": {
    "state": {},
    "version_major": 2,
    "version_minor": 0
   }
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}