Running_code_on_Real_QC.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "951e548c-ffd6-49f4-a425-bd3c3f0c8511",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 538.279x264.88 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Creating a Quantum Program called a 'Quantum Circuit'\n",
    "from qiskit import QuantumCircuit\n",
    "qc = QuantumCircuit(3)\n",
    "qc.h(0)\n",
    "qc.cx(0,[1,2])\n",
    "qc.measure_all()\n",
    "display(qc.draw())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "8ad97693-f6c9-4a56-8d92-bb7a32c857bb",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Saving my IBMQ token \n",
    "from qiskit import IBMQ"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "57f86d44-b407-4fb0-9563-9973c9cdeadf",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "configrc.store_credentials:WARNING:2022-09-08 06:28:28,843: Credentials already present. Set overwrite=True to overwrite.\n"
     ]
    }
   ],
   "source": [
    "# Now I am ready to access Quantum devices from IBM\n",
    "IBMQ.save_account('f7ed8b199a6958faaf47b2d6f1a349bb11fb7dec50ce5c5d0edf6e6d7c6b3f568d227dfbefacda6acd0b39a90d06954508892d19d2255e990500f758187fab8a')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "546c443d-391b-4810-81f9-191dd90b006b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AccountProvider for IBMQ(hub='ibm-q', group='open', project='main')>"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "IBMQ.load_account()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "5c3a1960-ba77-4455-9d2e-4e498a19d91a",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Running on ibmq_belem\n"
     ]
    }
   ],
   "source": [
    "# Now we will be able to some computation on real Quantum Computer\n",
    "# Asking IBM Quantum for it's least busy device that isn't a simulator\n",
    "from qiskit.providers.ibmq import IBMQ, least_busy\n",
    "provider = IBMQ.get_provider('ibm-q')\n",
    "device = least_busy(provider.backends(filters=lambda x: not x.configuration().simulator))\n",
    "print(f'Running on {device.name()}')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "c6edec8d-14ee-405c-8762-c9b84668f4ac",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Forming the program so that the device can run it\n",
    "# It is known as transpiling\n",
    "\n",
    "from qiskit import  transpile\n",
    "transpiled_qc = transpile(qc, device)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "9574a1ad-9fc4-4006-8943-1d23c8a750c3",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Job Status: job has successfully run\n"
     ]
    }
   ],
   "source": [
    "# Sending the program off to the IBM Quantum to run on a real device\n",
    "# and monitoring its status\n",
    "\n",
    "from qiskit.tools import job_monitor\n",
    "job = device.run(transpiled_qc)\n",
    "job_monitor(job)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "65b95c71-abf9-41fb-814c-61478d79835b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 504x360 with 1 Axes>"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Plotting the result as histogram\n",
    "from qiskit.visualization import plot_histogram\n",
    "plot_histogram(job.result().get_counts())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "91fdba19-7170-4930-892d-c4c58e522743",
   "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
}