qiskit-figures.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 13,
   "outputs": [],
   "source": [
    "from qiskit import Aer, QuantumCircuit, QuantumRegister, ClassicalRegister, transpile\n",
    "from qiskit.visualization import plot_histogram"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "outputs": [
    {
     "data": {
      "text/plain": "<qiskit.circuit.instructionset.InstructionSet at 0x7ff747b20670>"
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "x = QuantumRegister(3, 'x')\n",
    "y = QuantumRegister(2, 'y')\n",
    "z = QuantumRegister(1, 'z')\n",
    "\n",
    "qc = QuantumCircuit(x, y, z)\n",
    "\n",
    "qc.cx(x[0], y[0])\n",
    "qc.cx(x[1], y[0])\n",
    "qc.cx(x[1], y[1])\n",
    "qc.cx(x[2], y[1])\n",
    "\n",
    "qc.mcx(y, z)"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "outputs": [
    {
     "data": {
      "text/plain": "<Figure size 773.464x770.56 with 1 Axes>",
      "image/png": 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\n"
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "qc.draw('mpl', 2.0)"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "outputs": [],
   "source": [
    "def empty_gate():\n",
    "    q = QuantumRegister(4)\n",
    "    c = QuantumCircuit(q)\n",
    "    u = c.to_gate()\n",
    "    u.name = \"$V$\"\n",
    "    return u"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "outputs": [
    {
     "data": {
      "text/plain": "<Figure size 446.932x385.28 with 1 Axes>",
      "image/png": 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\n"
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "qc.append(empty_gate(), [x[0], x[1], x[2], z[0]])\n",
    "qc.draw('mpl')"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "outputs": [
    {
     "data": {
      "text/plain": "<qiskit.circuit.instructionset.InstructionSet at 0x7ff747bf6110>"
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "qc.mcx(y, z)\n",
    "\n",
    "qc.cx(x[2], y[1])\n",
    "qc.cx(x[1], y[1])\n",
    "qc.cx(x[1], y[0])\n",
    "qc.cx(x[0], y[0])\n"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "outputs": [
    {
     "data": {
      "text/plain": "<Figure size 1495.86x770.56 with 1 Axes>",
      "image/png": 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     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "qc.draw('mpl', 2.0, \"compute-uncompute-boolean\")"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 0
}