3 - Quantum Bits (key).ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "ab7be31b",
   "metadata": {},
   "source": [
    "importing the qiskit package"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "797bc9ca",
   "metadata": {},
   "outputs": [],
   "source": [
    "import qiskit"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "70b2ab8c",
   "metadata": {},
   "source": [
    "# Designing our first quantum circuit"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9a8c8b82",
   "metadata": {},
   "source": [
    "create a new quantum circuit object with 5 registers"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "e1185ebf",
   "metadata": {},
   "outputs": [],
   "source": [
    "qc_output = qiskit.QuantumCircuit(5)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a412722b",
   "metadata": {},
   "source": [
    "add a measurement gate to all registers in the quantum circuit"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "7ecaa94a",
   "metadata": {},
   "outputs": [],
   "source": [
    "qc_output.measure_all()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "710bf43f",
   "metadata": {},
   "source": [
    "draw the resulting quantum circuit"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "946bb043",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<pre style=\"word-wrap: normal;white-space: pre;background: #fff0;line-height: 1.1;font-family: &quot;Courier New&quot;,Courier,monospace\">           ░ ┌─┐            \n",
       "  q_0: |0>─░─┤M├────────────\n",
       "           ░ └╥┘┌─┐         \n",
       "  q_1: |0>─░──╫─┤M├─────────\n",
       "           ░  ║ └╥┘┌─┐      \n",
       "  q_2: |0>─░──╫──╫─┤M├──────\n",
       "           ░  ║  ║ └╥┘┌─┐   \n",
       "  q_3: |0>─░──╫──╫──╫─┤M├───\n",
       "           ░  ║  ║  ║ └╥┘┌─┐\n",
       "  q_4: |0>─░──╫──╫──╫──╫─┤M├\n",
       "           ░  ║  ║  ║  ║ └╥┘\n",
       "meas: 0 5/════╩══╩══╩══╩══╩═\n",
       "              0  1  2  3  4 </pre>"
      ],
      "text/plain": [
       "           ░ ┌─┐            \n",
       "  q_0: |0>─░─┤M├────────────\n",
       "           ░ └╥┘┌─┐         \n",
       "  q_1: |0>─░──╫─┤M├─────────\n",
       "           ░  ║ └╥┘┌─┐      \n",
       "  q_2: |0>─░──╫──╫─┤M├──────\n",
       "           ░  ║  ║ └╥┘┌─┐   \n",
       "  q_3: |0>─░──╫──╫──╫─┤M├───\n",
       "           ░  ║  ║  ║ └╥┘┌─┐\n",
       "  q_4: |0>─░──╫──╫──╫──╫─┤M├\n",
       "           ░  ║  ║  ║  ║ └╥┘\n",
       "meas: 0 5/════╩══╩══╩══╩══╩═\n",
       "              0  1  2  3  4 "
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "qc_output.draw(initial_state=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "011d7c1d",
   "metadata": {},
   "source": [
    "# Making our first measurements\n",
    "what do we expect to find?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "823096c9",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'00000': 1024}\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 504x360 with 1 Axes>"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sim = qiskit.Aer.get_backend('aer_simulator') # classical simulator\n",
    "result = sim.run(qc_output).result() # run the quantum circuit on our simulator and get the result\n",
    "counts = result.get_counts() # retrieve the counts from the result\n",
    "print(counts) # print out the counts\n",
    "qiskit.visualization.plot_histogram(counts) # plot them using a histogram"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "80b168df",
   "metadata": {},
   "source": [
    "this is what we expect, since the qbits are not modified before a measurement is taken.\n",
    "\n",
    "*but how will the real result change in a quantum computer compared to our classical simulator?*"
   ]
  }
 ],
 "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": "3.8.10"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}