{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "5882c269-3eb3-4309-a4db-737cf3a569f4",
   "metadata": {},
   "source": [
    "# 04 - Grover Optimizer\n",
    "### Modified for use with Quantum Rings toolkit for Qiskit 2.x"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "818b9459-3dc4-41a2-a827-6ffeeb666fcb",
   "metadata": {},
   "outputs": [],
   "source": [
    "# This code is from the tutorial at:\n",
    "# https://qiskit-community.github.io/qiskit-optimization/tutorials/04_grover_optimizer.html\n",
    "\n",
    "# Modified for use with Quantum Rings SDK"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "09da425f-bd56-4625-82f1-6cfbb8170935",
   "metadata": {},
   "outputs": [],
   "source": [
    "#\n",
    "# Setup your account\n",
    "# You can also save your account locally using the class method QrRuntimeService.save_account(...) and\n",
    "# invoke the QrRuntimeService class constructor without any arguments.\n",
    "#\n",
    "\n",
    "import os\n",
    "my_token = os.environ[\"QR_TOKEN\"]\n",
    "my_name = os.environ[\"QR_ACCOUNT\"]\n",
    "\n",
    "#\n",
    "# Set the backend of your choice, depending upon the task and your hardware configuration.\n",
    "# See SDK documentation for additional help.\n",
    "#\n",
    "\n",
    "my_backend = \"scarlet_quantum_rings\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "635b306d-3e2f-43f6-aeb7-27361e205756",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Import from Quantum Rings Toolkit\n",
    "from quantumrings.toolkit.qiskit import QrRuntimeService\n",
    "\n",
    "# Acquire Quantum Rings backend\n",
    "qr_services = QrRuntimeService(name = my_name, token = my_token)\n",
    "qr_backend = qr_services.backend(name = my_backend, precision = \"single\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "7731c2cb-33dc-498b-a957-da86586b4332",
   "metadata": {},
   "outputs": [],
   "source": [
    "from qiskit_algorithms import NumPyMinimumEigensolver\n",
    "\n",
    "# Switch to Quantum Rings's Sampler\n",
    "#from qiskit.primitives import Sampler\n",
    "from quantumrings.toolkit.qiskit import QrSamplerV2 as Sampler\n",
    "\n",
    "from qiskit_optimization.algorithms import GroverOptimizer, MinimumEigenOptimizer\n",
    "from qiskit_optimization.translators import from_docplex_mp\n",
    "from docplex.mp.model import Model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "7c1309f6-c1d2-41fa-a9d6-32ae2000c994",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Problem name: docplex_model1\n",
      "\n",
      "Minimize\n",
      "  -2*x0*x2 - x1*x2 - x0 + 2*x1 - 3*x2\n",
      "\n",
      "Subject to\n",
      "  No constraints\n",
      "\n",
      "  Binary variables (3)\n",
      "    x0 x1 x2\n",
      "\n"
     ]
    }
   ],
   "source": [
    "model = Model()\n",
    "x0 = model.binary_var(name=\"x0\")\n",
    "x1 = model.binary_var(name=\"x1\")\n",
    "x2 = model.binary_var(name=\"x2\")\n",
    "model.minimize(-x0 + 2 * x1 - 3 * x2 - 2 * x0 * x2 - 1 * x1 * x2)\n",
    "qp = from_docplex_mp(model)\n",
    "print(qp.prettyprint())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "820bbce0-b97d-4e6b-8bac-dbabebb05743",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\vkasi\\AppData\\Local\\Temp\\ipykernel_19628\\1369565211.py:1: UserWarning: Using Sampler V2 (other than StatevectorSampler) without a pass_manager may result in an error. Consider providing a pass_manager for proper circuit transpilation.\n",
      "  grover_optimizer = GroverOptimizer(6, num_iterations=10, sampler=Sampler(backend = qr_backend))\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "objective function value: -6.0\n",
      "variable values: x0=1.0, x1=0.0, x2=1.0\n",
      "status: SUCCESS\n"
     ]
    }
   ],
   "source": [
    "grover_optimizer = GroverOptimizer(6, num_iterations=10, sampler=Sampler(backend = qr_backend))\n",
    "results = grover_optimizer.solve(qp)\n",
    "print(results.prettyprint())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "03094d37-8b32-4c5e-9a51-ef90d5b7b0df",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "objective function value: -6.0\n",
      "variable values: x0=1.0, x1=0.0, x2=1.0\n",
      "status: SUCCESS\n"
     ]
    }
   ],
   "source": [
    "exact_solver = MinimumEigenOptimizer(NumPyMinimumEigensolver())\n",
    "exact_result = exact_solver.solve(qp)\n",
    "print(exact_result.prettyprint())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "60e59d34-73ac-4e14-ac13-a4dee8fc5bfd",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<h3>Version Information</h3><table><tr><th>Software</th><th>Version</th></tr><tr><td><code>qiskit</code></td><td>2.2.1</td></tr><tr><td><code>qiskit_ibm_runtime</code></td><td>0.40.1</td></tr><tr><td><code>qiskit_optimization</code></td><td>0.7.0</td></tr><tr><td><code>qiskit_algorithms</code></td><td>0.4.0</td></tr><tr><td><code>qiskit_aer</code></td><td>0.17.1</td></tr><tr><th colspan='2'>System information</th></tr><tr><td>Python version</td><td>3.12.9</td></tr><tr><td>OS</td><td>Windows</td></tr><tr><td colspan='2'>Tue Oct 21 15:19:26 2025 Mountain Daylight Time</td></tr></table>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<h3>Quantum Rings Version Information</h3><table><tr><th>Software</th><th>Version</th></tr><tr><td><code>QuantumRingsLib</code></td><td>0.11.0</td></tr><tr><td><code>quantumrings-toolkit-qiskit</code></td><td>0.2.0</td></tr></table>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<div style='width: 100%; background-color:#d5d9e0;padding-left: 10px; padding-bottom: 10px; padding-right: 10px; padding-top: 5px'><h3>This code is a part of a Qiskit project</h3><p>&copy; Copyright IBM 2017, 2025.</p><p>This code is licensed under the Apache License, Version 2.0. You may<br>obtain a copy of this license in the LICENSE.txt file in the root directory<br> of this source tree or at http://www.apache.org/licenses/LICENSE-2.0.<p>Any modifications or derivative works of this code must retain this<br>copyright notice, and modified files need to carry a notice indicating<br>that they have been altered from the originals.</p><p>Modifications (c) Copyright Quantum Rings Inc, 2025<br>Modified from the originals<br>Added support for Quantum Rings toolkit for Qiskit. </p></div>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import tutorial_magics\n",
    "\n",
    "%qiskit_version_table\n",
    "%quantumrings_version_table\n",
    "%qiskit_copyright"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "68e8f39e-ac8f-4eee-bb03-18f616774d66",
   "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": "3.12.9"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}