Charla_03.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "from qiskit import QuantumCircuit, ClassicalRegister, QuantumRegister\n",
    "from qiskit import execute\n",
    "%config IPCompleter.greedy=True\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 347.956x204.68 with 1 Axes>"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "qr = QuantumRegister(2)\n",
    "cr = ClassicalRegister(2)\n",
    "\n",
    "circ = QuantumCircuit(qr, cr)\n",
    "circ.h([0,1])\n",
    "circ.measure(qr, cr)\n",
    "\n",
    "circ.draw(output='mpl')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'01': 25, '11': 27, '10': 19, '00': 29}\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 504x360 with 1 Axes>"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from qiskit import BasicAer\n",
    "\n",
    "backend_sim = BasicAer.get_backend('qasm_simulator')\n",
    "\n",
    "job_sim = execute(circ, backend_sim, shots=100)\n",
    "\n",
    "result_sim = job_sim.result()\n",
    "\n",
    "counts = result_sim.get_counts(circ)\n",
    "print(counts)\n",
    "\n",
    "from qiskit.tools.visualization import plot_histogram\n",
    "plot_histogram(counts)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python [conda env:qiskit.0.11] *",
   "language": "python",
   "name": "conda-env-qiskit.0.11-py"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.9"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}