qbraid_sdk_devices_and_jobs.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "48c31cc3-1c30-4f4d-80c8-72909ed44628",
   "metadata": {},
   "source": [
    "# qBraid-SDK: Devices and Jobs"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6b9cbc3c-3fed-45f3-882c-b41b4fba45be",
   "metadata": {},
   "source": [
    "Enable qBraid Quantum Jobs through the qBraid CLI, available only through https://lab.qbraid.com"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "422c2c40-7088-45ca-a250-84ae6e5389d8",
   "metadata": {},
   "outputs": [],
   "source": [
    "!qbraid"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "a1edbd66-8821-4a49-ad06-b2b9bf0d0d5c",
   "metadata": {},
   "outputs": [],
   "source": [
    "!qbraid --version"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "9270dded-7f47-4764-8069-1e0589c01872",
   "metadata": {},
   "outputs": [],
   "source": [
    "!qbraid jobs enable qbraid_sdk"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "26d64ed6-9b25-43cd-8bce-319e45cd1ff3",
   "metadata": {},
   "outputs": [
    {
     "ename": "NameError",
     "evalue": "name 'IBMQ' is not defined",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
      "Cell \u001b[0;32mIn [2], line 3\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[38;5;28;01mimport\u001b[39;00m \u001b[38;5;21;01mqbraid\u001b[39;00m\n\u001b[1;32m      2\u001b[0m qbraid\u001b[38;5;241m.\u001b[39m__version__\n\u001b[0;32m----> 3\u001b[0m \u001b[43mIBMQ\u001b[49m\u001b[38;5;241m.\u001b[39msave_account(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mYOUR_IBM_KEY\u001b[39m\u001b[38;5;124m'\u001b[39m)\n",
      "\u001b[0;31mNameError\u001b[0m: name 'IBMQ' is not defined"
     ]
    }
   ],
   "source": [
    "import qbraid\n",
    "qbraid.__version__\n",
    "IBMQ.save_account('YOUR_IBM_KEY')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5cebe287-964a-4846-ba92-69994713ddc0",
   "metadata": {},
   "source": [
    "## Unified quantum device search"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3200ef8b-7223-4e99-8339-dfd0c10a3a52",
   "metadata": {},
   "source": [
    "There's no such function in Qiskit or Cirq, only tedious work-arounds that require you to look into the docs anyways. For Braket, it requires making an authenticated API request through Boto3, and only includes credentialed devices in the response."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bc6f0a6c-c6ab-439f-ab82-3f11a74d8eaf",
   "metadata": {},
   "source": [
    "The qBraid-SDK lists all available QPU's and simulators available through Qiskit, Cirq, and Braket, all in one place."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "e50d92e6-7b01-40db-8e19-38e33c23233d",
   "metadata": {},
   "outputs": [],
   "source": [
    "from qbraid import get_devices"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "683f5b55-2a78-40af-a2c0-e605fd0dedc1",
   "metadata": {},
   "outputs": [],
   "source": [
    "get_devices()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "53f506ce-0c62-482b-bf06-db1846199f08",
   "metadata": {},
   "source": [
    "Filter your device search with many different advanced query options! \n",
    "\n",
    "For example, let's find simulators containing keyword \"State\" available through AWS or IBM:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "e21fcabc-bed5-4038-a03b-b734540b11e9",
   "metadata": {},
   "outputs": [],
   "source": [
    "get_devices(\n",
    "    filters={\n",
    "        \"type\": \"Simulator\",\n",
    "        \"name\": {\"$regex\": \"State\"},\n",
    "        \"vendor\": {\"$in\": [\"AWS\", \"IBM\"]},\n",
    "    }\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8c8738cc-91f5-48b2-82c0-d3457099b0b7",
   "metadata": {},
   "source": [
    "This time, let's search for all gate-based QPUs with at least 5 qubits that are online"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "45037c99-0c6d-4241-94c8-b941a14365ea",
   "metadata": {},
   "outputs": [],
   "source": [
    "get_devices(\n",
    "    filters={\n",
    "        \"paradigm\": \"gate-based\",\n",
    "        \"type\": \"QPU\",\n",
    "        \"numberQubits\": {\"$gte\": 5},\n",
    "        \"status\": \"ONLINE\",\n",
    "    }\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d4742d46-0181-4e51-ac4c-44f519b0958b",
   "metadata": {},
   "source": [
    "Recently added the ability to search by preferred software package, for instance"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "6b8bc16d-aa43-4011-b109-c0d45307d660",
   "metadata": {},
   "outputs": [],
   "source": [
    "get_devices(filters={\"runPackage\": \"qiskit\", \"requiresCred\": \"false\"})"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4f9f246f-32a8-40ae-b962-48390ea80efc",
   "metadata": {},
   "source": [
    "## Run circuits on any device"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "880dd3e0-82a7-48aa-907f-a5bf4b148956",
   "metadata": {},
   "outputs": [],
   "source": [
    "from qbraid import device_wrapper, job_wrapper, get_jobs\n",
    "from qbraid.api import ibmq_least_busy_qpu, verify_config"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "73978ad9-ab16-4195-a4ef-210002714144",
   "metadata": {},
   "source": [
    "Copy the desired Device ID into the device wrapper function and you're on your way."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "5e9f68fd-162a-45a9-80d6-47716504f9bf",
   "metadata": {},
   "outputs": [],
   "source": [
    "qbraid_device = device_wrapper(\"ibm_aer_qasm_sim\")\n",
    "qbraid_device.info"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "6180f4c6-d370-4347-b0dc-d516038c6900",
   "metadata": {},
   "outputs": [],
   "source": [
    "verify_config(\"IBM\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "f17d8f90-d639-4071-bfcd-e197b036ecd0",
   "metadata": {},
   "outputs": [],
   "source": [
    "least_busy = ibmq_least_busy_qpu()  # requires credential\n",
    "least_busy"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "d7abe92c-f73e-4b7a-8304-ed0737852968",
   "metadata": {},
   "outputs": [],
   "source": [
    "ibmq_id = \"ibm_q_qasm_sim\"\n",
    "qbraid_ibmq_device = device_wrapper(ibmq_id)\n",
    "qbraid_ibmq_device.vendor_dlo"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "2320a9d5-5d4f-4c84-bd49-7c1d02b62906",
   "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: ┤ H ├┤ Ry(π/4) ├┤ Rz(π/2) ├┤M├\n",
       "     └───┘└─────────┘└─────────┘└╥┘\n",
       "c: 1/════════════════════════════╩═\n",
       "                                 0 </pre>"
      ],
      "text/plain": [
       "     ┌───┐┌─────────┐┌─────────┐┌─┐\n",
       "  q: ┤ H ├┤ Ry(π/4) ├┤ Rz(π/2) ├┤M├\n",
       "     └───┘└─────────┘└─────────┘└╥┘\n",
       "c: 1/════════════════════════════╩═\n",
       "                                 0 "
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from qiskit import QuantumCircuit\n",
    "import numpy as np\n",
    "\n",
    "qiskit_circuit = QuantumCircuit(1, 1)\n",
    "\n",
    "qiskit_circuit.h(0)\n",
    "qiskit_circuit.ry(np.pi / 4, 0)\n",
    "qiskit_circuit.rz(np.pi / 2, 0)\n",
    "qiskit_circuit.measure(0, 0)\n",
    "\n",
    "qiskit_circuit.draw()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0b1979a2-0d9a-4624-8f9a-9b7330500e99",
   "metadata": {},
   "source": [
    "Initialize quantum jobs and collect results, with the ability to extract wrapped objects at any step"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "0926b76d-6f08-4361-b36c-918e61bd5abb",
   "metadata": {},
   "outputs": [],
   "source": [
    "shots = 2\n",
    "\n",
    "# qbraid_ibmq_job = qbraid_ibmq_device.run(qiskit_circuit, shots=shots)\n",
    "# qbraid_ibmq_job.status()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "db36fad9-9fb8-40b3-af38-0435db164163",
   "metadata": {},
   "source": [
    "Submit quantum jobs to any supported device through the same simple and consistent protocol"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "e6d1ed8e-ea56-4476-a11c-0360f5d7bd60",
   "metadata": {},
   "outputs": [],
   "source": [
    "google_id = \"google_cirq_dm_sim\"\n",
    "qbraid_google_device = device_wrapper(google_id)\n",
    "\n",
    "aws_id = \"aws_dm_sim\"\n",
    "qbraid_aws_device = device_wrapper(aws_id)  # Credential handled by qBraid Quantum Jobs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "9bed97bc-c5b9-4b4b-8cb0-4af8ee7a3689",
   "metadata": {},
   "outputs": [],
   "source": [
    "qbraid_google_job = qbraid_google_device.run(qiskit_circuit, shots=shots)\n",
    "qbraid_aws_job = qbraid_aws_device.run(qiskit_circuit, shots=shots)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8a1f0e06-d3e9-42ce-8816-36efd36b8a57",
   "metadata": {
    "tags": []
   },
   "source": [
    "## Monitor and manage your jobs from one location"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "79be0111-589a-4f78-b152-85eb9f5742b6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<h3>Quantum Jobs</h3><table><tr>\n",
       "    <th style='text-align:left'>qBraid ID</th>\n",
       "    <th style='text-align:left'>Submitted</th>\n",
       "    <th style='text-align:left'>Status</th></tr>\n",
       "    <tr>\n",
       "        <td style='text-align:left'>aws_dm_sim-ryoung98-qjob-1z1v85xvgh7agnnmlgnu</td>\n",
       "        <td style='text-align:left'>2022-10-12T17:42:24.837Z</td>\n",
       "        <td style='text-align:left'><span style='color:green'>COMPLETED</span></td></tr>\n",
       "        <tr>\n",
       "        <td style='text-align:left'>aws_dm_sim-ryoung98-qjob-7msm4y8ijeb7lz4n6n95</td>\n",
       "        <td style='text-align:left'>2022-10-12T17:42:20.111Z</td>\n",
       "        <td style='text-align:left'><span style='color:green'>COMPLETED</span></td></tr>\n",
       "        <tr>\n",
       "        <td style='text-align:left'>aws_oqc_lucy-ryoung98-qjob-l4qycglkltqgaxefuhg6</td>\n",
       "        <td style='text-align:left'>2022-10-12T17:29:48.022Z</td>\n",
       "        <td style='text-align:left'><span style='color:blue'>INITIALIZING</span></td></tr>\n",
       "        <tr>\n",
       "        <td style='text-align:left'>aws_ionq-ryoung98-qjob-qedgvulsa9jthd33k474</td>\n",
       "        <td style='text-align:left'>2022-10-12T17:29:12.982Z</td>\n",
       "        <td style='text-align:left'><span style='color:green'>COMPLETED</span></td></tr>\n",
       "        <tr>\n",
       "        <td style='text-align:left'>aws_ionq-ryoung98-qjob-ht095d4l6wkfe0nhmv5m</td>\n",
       "        <td style='text-align:left'>2022-10-12T17:27:08.141Z</td>\n",
       "        <td style='text-align:left'><span style='color:green'>COMPLETED</span></td></tr>\n",
       "        <tr>\n",
       "        <td style='text-align:left'>aws_dm_sim-ryoung98-qjob-qng9fh80vil3iyykuude</td>\n",
       "        <td style='text-align:left'>2022-10-12T16:49:30.701Z</td>\n",
       "        <td style='text-align:left'><span style='color:green'>COMPLETED</span></td></tr>\n",
       "        <tr>\n",
       "        <td style='text-align:left'>aws_dm_sim-ryoung98-qjob-8xabik5bylt7jza5i91n</td>\n",
       "        <td style='text-align:left'>2022-10-12T16:49:25.950Z</td>\n",
       "        <td style='text-align:left'><span style='color:green'>COMPLETED</span></td></tr>\n",
       "        <tr>\n",
       "        <td style='text-align:left'>aws_oqc_lucy-ryoung98-qjob-79efsjs7xd6ez97wgf71</td>\n",
       "        <td style='text-align:left'>2022-10-05T18:21:18.196Z</td>\n",
       "        <td style='text-align:left'><span style='color:green'>COMPLETED</span></td></tr>\n",
       "        <tr>\n",
       "        <td style='text-align:left'>aws_oqc_lucy-ryoung98-qjob-lgscg4r4pew5csbj23nx</td>\n",
       "        <td style='text-align:left'>2022-10-05T18:09:56.075Z</td>\n",
       "        <td style='text-align:left'><span style='color:green'>COMPLETED</span></td></tr>\n",
       "        <tr>\n",
       "        <td style='text-align:left'>aws_ionq-ryoung98-qjob-q4bnlj931ledab2pfyx6</td>\n",
       "        <td style='text-align:left'>2022-10-05T18:09:00.600Z</td>\n",
       "        <td style='text-align:left'><span style='color:green'>COMPLETED</span></td></tr>\n",
       "        <tr><td colspan='4'; style='text-align:right'>Displaying 10 most recent jobs</td></tr></table>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "get_jobs()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "ba792c1b-2b88-4fb9-835e-eb960238160b",
   "metadata": {},
   "outputs": [],
   "source": [
    "# qbraid_ibmq_job.wait_for_final_state()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "959d4516-47fb-4465-a2a8-55f98092ec76",
   "metadata": {},
   "outputs": [],
   "source": [
    "jobs = [qbraid_google_job, qbraid_aws_job]\n",
    "google_result, aws_result = [job.result() for job in jobs]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "259b35b2-b1b7-4585-a08d-f4f99af641ff",
   "metadata": {},
   "source": [
    "## Easily compare results"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "32ef5f4d-02eb-46ec-b2a4-12e9c3df4936",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Cirq Density Matrix Simulator counts: {'1': 2}\n",
      "Density Matrix Simulator counts: {'1': 2}\n"
     ]
    }
   ],
   "source": [
    "print(f\"{qbraid_google_device.name} counts: {google_result.measurement_counts()}\")\n",
    "print(f\"{qbraid_aws_device.name} counts: {aws_result.measurement_counts()}\")\n",
    "# print(f\"{qbraid_ibmq_device.name} counts: {ibmq_result.measurement_counts()}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "ad004f85-6d1a-4a9f-b941-3685392ca226",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 700x500 with 1 Axes>"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "google_result.plot_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "9fa9c218-577c-4c02-a8bf-9fe6c5427753",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 700x500 with 1 Axes>"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "aws_result.plot_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "8b48838e-4434-4b36-975f-4849660efa8a",
   "metadata": {},
   "outputs": [],
   "source": [
    "ibmq_result.plot_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "ba55479e-f69f-402d-b215-bf55862522ca",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "4b805d5c-2659-40ae-9276-ab66a1ac6047",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 [qBraid-SDK]",
   "language": "python",
   "name": "python3_qbraid_sdk_9j9sjy"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.10"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}