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| 1 | +{ |
| 2 | + "cells": [ |
| 3 | + { |
| 4 | + "cell_type": "markdown", |
| 5 | + "id": "90f546a9", |
| 6 | + "metadata": {}, |
| 7 | + "source": [ |
| 8 | + "# Submitting PennyLane Circuits to Azure Quantum with the QDK\n", |
| 9 | + "\n", |
| 10 | + "This notebook demonstrates end‑to‑end submission of a PennyLane `QNode` to Azure Quantum using the QDK compiler pipeline (OpenQASM 2 → QIR → job submission).\n", |
| 11 | + "\n", |
| 12 | + "**Workflow overview:**\n", |
| 13 | + "\n", |
| 14 | + "1. Create a `default.qubit` device and define a parameterized circuit (Hadamard + CNOT entanglement, then `RY(θ)` rotation).\n", |
| 15 | + "2. Draw the circuit for a quick structural sanity check.\n", |
| 16 | + "3. Export the bound PennyLane circuit to OpenQASM 2 using `qml.to_openqasm`.\n", |
| 17 | + "4. Compile the OpenQASM source to QIR with `qdk.openqasm.compile` (selecting a target profile).\n", |
| 18 | + "5. Submit the QIR payload to a chosen Azure Quantum target (e.g. `rigetti.sim.qvm`) with a shot count.\n", |
| 19 | + "6. Retrieve and display measurement results returned by the job." |
| 20 | + ] |
| 21 | + }, |
| 22 | + { |
| 23 | + "cell_type": "markdown", |
| 24 | + "id": "004e5982", |
| 25 | + "metadata": {}, |
| 26 | + "source": [ |
| 27 | + "## 1. Prerequisites\n", |
| 28 | + "\n", |
| 29 | + "This notebook assumes the `qdk`, Azure Quantum integration, and PennyLane packages are installed. You can these with:" |
| 30 | + ] |
| 31 | + }, |
| 32 | + { |
| 33 | + "cell_type": "code", |
| 34 | + "execution_count": null, |
| 35 | + "id": "dfa160e8", |
| 36 | + "metadata": {}, |
| 37 | + "outputs": [], |
| 38 | + "source": [ |
| 39 | + "%pip install qdk[azure] pennylane" |
| 40 | + ] |
| 41 | + }, |
| 42 | + { |
| 43 | + "cell_type": "markdown", |
| 44 | + "id": "b7f37bcd", |
| 45 | + "metadata": {}, |
| 46 | + "source": [ |
| 47 | + "This installs:\n", |
| 48 | + "- The base qdk package (compiler, OpenQASM/QIR tooling)\n", |
| 49 | + "- Azure Quantum client dependencies for submission\n", |
| 50 | + "- The PennyLane package\n", |
| 51 | + "\n", |
| 52 | + "After installing, restart the notebook kernel if it was already running. The following imports should run successfully:" |
| 53 | + ] |
| 54 | + }, |
| 55 | + { |
| 56 | + "cell_type": "code", |
| 57 | + "execution_count": null, |
| 58 | + "id": "f7446ed1", |
| 59 | + "metadata": {}, |
| 60 | + "outputs": [], |
| 61 | + "source": [ |
| 62 | + "import pennylane as qml\n", |
| 63 | + "from qdk.openqasm import compile\n", |
| 64 | + "from qdk.azure import Workspace\n", |
| 65 | + "from qdk import TargetProfile" |
| 66 | + ] |
| 67 | + }, |
| 68 | + { |
| 69 | + "cell_type": "markdown", |
| 70 | + "id": "4f761649", |
| 71 | + "metadata": {}, |
| 72 | + "source": [ |
| 73 | + "## 2. Define a Simple Circuit\n", |
| 74 | + "We'll create a small parameterized circuit destined for export." |
| 75 | + ] |
| 76 | + }, |
| 77 | + { |
| 78 | + "cell_type": "code", |
| 79 | + "execution_count": null, |
| 80 | + "id": "e91dd2d7", |
| 81 | + "metadata": {}, |
| 82 | + "outputs": [], |
| 83 | + "source": [ |
| 84 | + "dev = qml.device('default.qubit', wires=2)\n", |
| 85 | + "\n", |
| 86 | + "@qml.qnode(dev)\n", |
| 87 | + "def small_ansatz(theta):\n", |
| 88 | + " qml.H(0); qml.CNOT(wires=[0,1])\n", |
| 89 | + " qml.RY(theta, wires=1)\n", |
| 90 | + " return qml.expval(qml.PauliZ(1))" |
| 91 | + ] |
| 92 | + }, |
| 93 | + { |
| 94 | + "cell_type": "markdown", |
| 95 | + "id": "f94b7ac3", |
| 96 | + "metadata": {}, |
| 97 | + "source": [ |
| 98 | + "## 3. Draw for Inspection" |
| 99 | + ] |
| 100 | + }, |
| 101 | + { |
| 102 | + "cell_type": "code", |
| 103 | + "execution_count": null, |
| 104 | + "id": "2706bb1d", |
| 105 | + "metadata": {}, |
| 106 | + "outputs": [], |
| 107 | + "source": [ |
| 108 | + "print(qml.draw(small_ansatz)(0.3))" |
| 109 | + ] |
| 110 | + }, |
| 111 | + { |
| 112 | + "cell_type": "markdown", |
| 113 | + "id": "efd50528", |
| 114 | + "metadata": {}, |
| 115 | + "source": [ |
| 116 | + "## 4. Configure Azure Quantum workspace connection\n", |
| 117 | + "\n", |
| 118 | + "To connect to an Azure workspace replace the following variables with your own values." |
| 119 | + ] |
| 120 | + }, |
| 121 | + { |
| 122 | + "cell_type": "code", |
| 123 | + "execution_count": null, |
| 124 | + "id": "54206752", |
| 125 | + "metadata": {}, |
| 126 | + "outputs": [], |
| 127 | + "source": [ |
| 128 | + "subscription_id = 'xxxxxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx'\n", |
| 129 | + "resource_group = 'myresourcegroup'\n", |
| 130 | + "workspace_name = 'myworkspace'\n", |
| 131 | + "location = 'westus'" |
| 132 | + ] |
| 133 | + }, |
| 134 | + { |
| 135 | + "cell_type": "markdown", |
| 136 | + "id": "552ec2b0", |
| 137 | + "metadata": {}, |
| 138 | + "source": [ |
| 139 | + "## 5. Submitting the Circuit" |
| 140 | + ] |
| 141 | + }, |
| 142 | + { |
| 143 | + "cell_type": "code", |
| 144 | + "execution_count": null, |
| 145 | + "id": "d9a0f59b", |
| 146 | + "metadata": {}, |
| 147 | + "outputs": [], |
| 148 | + "source": [ |
| 149 | + "# Define parameters for the job submission\n", |
| 150 | + "target_name = 'rigetti.sim.qvm'\n", |
| 151 | + "target_profile = TargetProfile.Base\n", |
| 152 | + "job_name = 'pennylane-job'\n", |
| 153 | + "shots = 100\n", |
| 154 | + "\n", |
| 155 | + "# Define parameter for the circuit\n", |
| 156 | + "theta = 0.3\n", |
| 157 | + "\n", |
| 158 | + "# Specify Azure Quantum workspace\n", |
| 159 | + "workspace = Workspace(\n", |
| 160 | + " subscription_id=subscription_id,\n", |
| 161 | + " resource_group=resource_group,\n", |
| 162 | + " name=workspace_name,\n", |
| 163 | + " location=location,\n", |
| 164 | + ")\n", |
| 165 | + "\n", |
| 166 | + "# Compile the PennyLane circuit to QIR via OpenQASM\n", |
| 167 | + "qasm_str = qml.to_openqasm(small_ansatz)(theta)\n", |
| 168 | + "qir = compile(qasm_str, target_profile)\n", |
| 169 | + "\n", |
| 170 | + "# Submit the job to Azure Quantum\n", |
| 171 | + "target = workspace.get_targets(target_name)\n", |
| 172 | + "job = target.submit(qir, job_name, shots)\n", |
| 173 | + "\n", |
| 174 | + "# Print the results\n", |
| 175 | + "results = job.get_results()\n", |
| 176 | + "print(results)" |
| 177 | + ] |
| 178 | + } |
| 179 | + ], |
| 180 | + "metadata": { |
| 181 | + "kernelspec": { |
| 182 | + "display_name": ".venv", |
| 183 | + "language": "python", |
| 184 | + "name": "python3" |
| 185 | + }, |
| 186 | + "language_info": { |
| 187 | + "codemirror_mode": { |
| 188 | + "name": "ipython", |
| 189 | + "version": 3 |
| 190 | + }, |
| 191 | + "file_extension": ".py", |
| 192 | + "mimetype": "text/x-python", |
| 193 | + "name": "python", |
| 194 | + "nbconvert_exporter": "python", |
| 195 | + "pygments_lexer": "ipython3", |
| 196 | + "version": "3.13.8" |
| 197 | + } |
| 198 | + }, |
| 199 | + "nbformat": 4, |
| 200 | + "nbformat_minor": 5 |
| 201 | +} |
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