{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Deutsch-Joszja Algorithm\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "from qiskit import QuantumRegister, ClassicalRegister, QuantumCircuit\n",
    "from qiskit import Aer, execute\n",
    "from qiskit.tools.visualization import plot_histogram"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Create quantum/classical registers and a quantum circuit\n",
    "\n",
    "qin = QuantumRegister(2)\n",
    "qout = QuantumRegister(1)\n",
    "c = ClassicalRegister(2)\n",
    "qc = QuantumCircuit(qin,qout,c)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Copy the equal2 function from Example 3\n",
    "# This is balanced function\n",
    "\n",
    "def equal2(circ, input, output) :\n",
    "    circ.cx(input[0],output)\n",
    "    circ.cx(input[1],output)\n",
    "    circ.x(output)\n",
    "\n",
    "# This is a constant function that doesn't change anything\n",
    "def constant2(circ, input, output) :\n",
    "    circ.iden(output)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/mueller/.local/lib/python3.7/site-packages/qiskit/util.py:109: DeprecationWarning: The QuantumCircuit.iden() method is deprecated as of 0.14.0, and will be removed no earlier than 3 months after that release date. You should use the QuantumCircuit.i() method instead.\n",
      "  return func(*args, **kwargs)\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<qiskit.circuit.instructionset.InstructionSet at 0x7f8c93e61890>"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Build the Deutsh-Josza circuit\n",
    "\n",
    "# First apply phase shift to negate where f(x) == 1\n",
    "qc.h(qin)\n",
    "qc.x(qout)\n",
    "qc.h(qout)\n",
    "#is equal2() for balanced or constant2() for constant in line below\n",
    "constant2(qc,qin,qout)\n",
    "qc.h(qout)\n",
    "qc.barrier()  # barrier to make circuit look nicer\n",
    "\n",
    "# Then Walsh-Hadamard on input bits\n",
    "qc.h(qin)\n",
    "\n",
    "# For constant function, output is |00> with probability 1\n",
    "# For balanced function, output is something other than |00> with probability 1\n",
    "qc.measure(qin,c)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 670.628x264.88 with 1 Axes>"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "qc.draw(output='mpl')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'00': 512}\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 504x360 with 1 Axes>"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Simulate and show results\n",
    "backend = Aer.get_backend('qasm_simulator')\n",
    "job = execute(qc, backend, shots=512)  # shots default = 1024\n",
    "result = job.result()\n",
    "print(result.get_counts())\n",
    "plot_histogram(result.get_counts())"
   ]
  }
 ],
 "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": "3.7.9"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}