Entangler.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Quantum Entangler\n",
    "Creates a pair of Quantum Entagled circuit"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\Vinu\\Anaconda3\\envs\\QISKitenv\\lib\\site-packages\\marshmallow\\schema.py:364: ChangedInMarshmallow3Warning: strict=False is not recommended. In marshmallow 3.0, schemas will always be strict. See https://marshmallow.readthedocs.io/en/latest/upgrading.html#schemas-are-always-strict\n",
      "  ChangedInMarshmallow3Warning\n"
     ]
    }
   ],
   "source": [
    "# useful additional packages \n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline\n",
    "import numpy as np\n",
    "# importing Qiskit\n",
    "from qiskit import QuantumCircuit, QuantumRegister, ClassicalRegister\n",
    "from qiskit import Aer, IBMQ, execute\n",
    "\n",
    "# import basic plot tools\n",
    "from qiskit.tools.visualization import matplotlib_circuit_drawer as circuit_drawer\n",
    "from qiskit.tools.visualization import plot_histogram, qx_color_scheme"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# <center> Basic Math for the Entanglement </center> \n",
    "\\begin{equation*}\n",
    "    \\begin{pmatrix}\n",
    "        \\begin{pmatrix}\n",
    "            1\\\\0\n",
    "        \\end{pmatrix} & * &\n",
    "        \\begin{pmatrix}\n",
    "            0\\\\1\n",
    "        \\end{pmatrix}\n",
    "    \\end{pmatrix} \n",
    "    = c*\n",
    "    \\begin{pmatrix}\n",
    "        \\begin{pmatrix}\n",
    "            1/\\sqrt(2)\\\\ 1/\\sqrt(2)\n",
    "        \\end{pmatrix} & * &\n",
    "            \\begin{pmatrix}\n",
    "                1\\\\0\n",
    "            \\end{pmatrix}\n",
    "    \\end{pmatrix} = \n",
    "    \\begin{pmatrix}\n",
    "        1/\\sqrt(2) \\\\ 0 \\\\ 0 \\\\ 1/\\sqrt(2)\n",
    "    \\end{pmatrix}\n",
    "\\end{equation*}\n",
    "</center>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\Vinu\\Anaconda3\\envs\\QISKitenv\\lib\\site-packages\\qiskit\\tools\\visualization\\_circuit_visualization.py:544: DeprecationWarning: The matplotlib_circuit_drawer() function is deprecated and will be removed in a future release. Instead use the circuit_drawer() function with the `output` kwarg set to `mpl`.\n",
      "  '`mpl`.', DeprecationWarning)\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 421.4x258.86 with 1 Axes>"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "q = QuantumRegister(2)\n",
    "t = ClassicalRegister(2) \n",
    "BB = QuantumCircuit(q, t)\n",
    "BB.h(q[1])\n",
    "BB.cx(q[1],q[0])\n",
    "BB.measure(q[0],t[0])\n",
    "BB.measure(q[1],t[1])\n",
    "circuit_drawer(BB,style=qx_color_scheme())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [],
   "source": [
    "local_backend = Aer.get_backend('qasm_simulator') \n",
    "BB_j = execute(BB, local_backend) \n",
    "BB_j = BB_j.result()\n",
    "data = BB_j.get_counts(BB)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'11': 529, '00': 495}\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 504x360 with 1 Axes>"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "print(data)\n",
    "plot_histogram(data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\Vinu\\Anaconda3\\envs\\QISKitenv\\lib\\site-packages\\qiskit\\tools\\visualization\\_circuit_visualization.py:544: DeprecationWarning: The matplotlib_circuit_drawer() function is deprecated and will be removed in a future release. Instead use the circuit_drawer() function with the `output` kwarg set to `mpl`.\n",
      "  '`mpl`.', DeprecationWarning)\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 421.4x258.86 with 1 Axes>"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "q = QuantumRegister(2)\n",
    "t = ClassicalRegister(2) \n",
    "BB = QuantumCircuit(q, t)\n",
    "BB.h(q[1])\n",
    "BB.h(q[0])\n",
    "BB.measure(q[0],t[0])\n",
    "BB.measure(q[1],t[1])\n",
    "circuit_drawer(BB,style=qx_color_scheme())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [],
   "source": [
    "local_backend = Aer.get_backend('qasm_simulator') \n",
    "BB_j = execute(BB, local_backend) \n",
    "BB_j = BB_j.result()\n",
    "data = BB_j.get_counts(BB)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'01': 249, '10': 273, '00': 255, '11': 247}\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 504x360 with 1 Axes>"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "print(data)\n",
    "plot_histogram(data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "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": "3.7.2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}