Basic_Quantum_circuit.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "460130be-cb0d-48b1-b747-9b85e170a9f4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 116.697x264.88 with 1 Axes>"
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Creating a Quantum Circuit with 3 qubits and 3 outputs\n",
    "from qiskit import QuantumCircuit\n",
    "qc = QuantumCircuit(3,3) # 3 qubit and 3 classical bit\n",
    "qc.draw()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "90cc8f4a-f64d-4f5e-ac10-8b6f2eb17029",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 267.197x264.88 with 1 Axes>"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Here we are using meausre gate to measure our computation\n",
    "from qiskit import QuantumCircuit \n",
    "qc = QuantumCircuit(3,3)\n",
    "qc.measure([0,1,2],[0,1,2])\n",
    "qc.draw()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "c214b6e8-a09b-40c1-9b6d-7c21339d3d32",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "<frozen importlib._bootstrap>:219: RuntimeWarning: scipy._lib.messagestream.MessageStream size changed, may indicate binary incompatibility. Expected 56 from C header, got 64 from PyObject\n"
     ]
    }
   ],
   "source": [
    "# Creating new simulator Object \n",
    "from qiskit.providers.aer import AerSimulator\n",
    "sim = AerSimulator() "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "d559ef19-e2a1-43c3-b608-d4ab68ebb293",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'000': 1024}"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "job = sim.run(qc)\n",
    "result = job.result()\n",
    "result.get_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "d821d9be-db28-4d5a-a866-4979a51f2b2f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 267.197x264.88 with 1 Axes>"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Now we are going to encode an input and measure it\n",
    "qc = QuantumCircuit(3,3)\n",
    "qc.x([0,1])\n",
    "qc.measure([0,1,2],[0,1,2])\n",
    "qc.draw()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "aef1954a-aae2-433d-9f9c-54159402482f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'011': 1024}"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "job = sim.run(qc)\n",
    "result = job.result()\n",
    "result.get_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "9ceb0d4c-8c11-4ee2-aa61-57fb34b13ba4",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "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": "3.8.13"
  },
  "widgets": {
   "application/vnd.jupyter.widget-state+json": {
    "state": {},
    "version_major": 2,
    "version_minor": 0
   }
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}