diff --git a/docs/guides/add-job-tags.ipynb b/docs/guides/add-job-tags.ipynb index 715780641a3..228e2d82295 100644 --- a/docs/guides/add-job-tags.ipynb +++ b/docs/guides/add-job-tags.ipynb @@ -2,169 +2,3804 @@ "cells": [ { "cell_type": "markdown", - "id": "ef283f37-0ad4-48c7-bb92-8a09baaae6e5", + "id": "f931abbe-019d-4198-bc62-facba2ea2ded", "metadata": {}, "source": [ - "# Organize and search by job tags" - ] - }, - { - "cell_type": "markdown", - "id": "f4471d6b-dc12-486c-95de-22ac12e367d2", - "metadata": { - "tags": [ - "version-info" - ] - }, - "source": [ - "
\n", - "Package versions\n", - "\n", - "The code on this page was developed using the following requirements.\n", - "We recommend using these versions or newer.\n", + "# HOW TO get and visualize the scheduler timing information of a Quantum Circuit\n", "\n", - "```\n", - "qiskit-ibm-runtime~=0.40.1\n", - "```\n", - "
" + "In order to have the visualizer avialale in the notebook, please checkout the branch [RoyElkabetz:re-sched-vis](https://github.com/RoyElkabetz/qiskit-ibm-runtime/tree/re-sched-vis). Also notice that a special Primitives image is being set for execution. This new image should become part of main in the near future, and then the `image` key in the Sampler Options could be removed." ] }, { - "cell_type": "markdown", - "id": "ec8277ad-1811-4318-8282-84d6d282bb17", - "metadata": {}, - "source": [ - "This guide focuses on how to add and update job tags, as well as how to search by job tags, so that you can better organize, track, and understand your experiments." - ] - }, - { - "cell_type": "markdown", - "id": "59e38320-db15-4566-b262-40d4fcf19b82", + "cell_type": "code", + "execution_count": 1, + "id": "7c8168ab-cb5c-48ed-b8dc-e9ab90182a17", "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "qiskit: 2.1.2\n", + "qiskit-ibm-runtime: 0.42.0.dev1970+g4b4641046.d20250828\n" + ] + } + ], "source": [ - "## Assign tags\n", + "from qiskit_ibm_runtime import QiskitRuntimeService, SamplerV2\n", + "from qiskit.circuit import QuantumCircuit\n", + "from qiskit import transpile\n", + "\n", + "import qiskit\n", + "import qiskit_ibm_runtime\n", "\n", - "You can assign one or more tags to your jobs when you run them so that you can filter by a tag later. You might want to use job tags to label particular error mitigation settings, circuit parameters, and so forth." + "print(f\"qiskit: {qiskit.__version__}\")\n", + "print(f\"qiskit-ibm-runtime: {qiskit_ibm_runtime.__version__}\")" ] }, { "cell_type": "code", - "execution_count": 19, - "id": "74a7a1ea-f2ae-4b8c-9499-af52840c2e74", + "execution_count": 2, + "id": "2fc1e904-c0d3-4426-acba-500608bae94b", "metadata": {}, "outputs": [ { - "name": "stdout", + "name": "stderr", "output_type": "stream", "text": [ - "['experiment-2025', 'sampler-example']\n" + "management.get:WARNING:2025-09-30 10:58:40,247: Loading default saved account\n" ] } ], "source": [ - "from qiskit_ibm_runtime import QiskitRuntimeService, Sampler\n", - "from qiskit import QuantumCircuit\n", - "from qiskit.transpiler import generate_preset_pass_manager\n", - "\n", + "# Connect to backend\n", + "# backend_name = \"test_heron_pok_1\"\n", + "# service = QiskitRuntimeService()\n", + "backend_name = \"test_heron_pok_1\"\n", "service = QiskitRuntimeService()\n", - "backend = service.least_busy(simulator=False, operational=True)\n", - "\n", + "backend = service.backend(backend_name)" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "8158fa17-a23e-4174-b793-3f8a0c604971", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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+       "        └───┘┌─┴─┐ ░ └╥┘┌─┐\n",
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+       "meas: 2/══════════════╩══╩═\n",
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This method overwrites current tags, so if you have already assigned tags to a job and you want to add additional tags, be sure to re-assign the original tags." + "# Transpiling the circuit for the given backend\n", + "transpiled_circuits = []\n", + "transpiled_circuit = transpile(qc, backend)\n", + "transpiled_circuits.append(transpiled_circuit)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "b29f7628-966a-4ba8-94c9-a31ffa45b91e", + "metadata": {}, + "outputs": [], + "source": [ + "# Generating samplers for backend targets\n", + "sampler = SamplerV2(backend)\n", + "sampler.options.experimental = {\n", + " \"execution\": {\"scheduler_timing\": True},\n", + "}" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "39822c25-45cf-4831-b668-b40821060f65", + "metadata": {}, + "outputs": [], + "source": [ + "# Submitting sampler jobs\n", + "sampler_job = sampler.run(transpiled_circuits)" ] }, { "cell_type": "code", - "execution_count": 20, - "id": "205ceaf7-f79d-4452-b4b0-9688e39a4564", + "execution_count": 8, + "id": "4f7ae24b-e163-4d6b-bc48-f4b5a4209c9a", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "['sampler-example', 'experiment-2025', '127-qubit']\n" + ">>> Job ID: d3dv096lahfs73d0fngg (QUEUED)\n" ] } ], "source": [ - "# Add a new tag while keeping the previously assigned tags\n", - "job.update_tags([\"experiment-2025\", \"sampler-example\", \"127-qubit\"])\n", - "\n", - "# Confirm updated tags\n", - "print(job.tags)" + "print(\n", + " f\">>> {' Job ID:':<10} {sampler_job.job_id()} ({sampler_job.status()})\"\n", + ")" ] }, { - "cell_type": "markdown", - "id": "9e2e8c4a-5fbb-4a15-ab75-ddb61e35b65e", + "cell_type": "code", + "execution_count": 9, + "id": "007e274d-8acf-4c81-ac38-15a27c0cfed0", "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + ">>> Job: d3dv096lahfs73d0fngg finished with:\n", + "PrimitiveResult([SamplerPubResult(data=DataBin(meas=BitArray()), metadata={'circuit_metadata': {}, 'compilation': {'scheduler_timing': {'timing': 'main,barrier,Qubit 2,0,0,barrier\\nmain,barrier,Qubit 3,0,0,barrier\\nmain,INIT_2,Qubit 2,10,2500,play\\nmain,INIT_2,Qubit 2,9,2500,play\\nmain,INIT_3,Qubit 3,10,2500,play\\nmain,INIT_3,Qubit 3,9,2500,play\\nmain,barrier,Qubit 2,2510,0,barrier\\nmain,barrier,Qubit 3,2510,0,barrier\\nmain,rz_2,Qubit 74,2510,0,shift_phase\\nmain,rz_2,Qubit 2,2510,0,shift_phase\\nmain,rz_2,Qubit 75,2510,0,shift_phase\\nmain,sx_2,Qubit 2,2510,256,play\\nmain,rz_2,Qubit 74,2766,0,shift_phase\\nmain,rz_2,Qubit 2,2766,0,shift_phase\\nmain,rz_2,Qubit 75,2766,0,shift_phase\\nmain,rz_3,Qubit 3,2510,0,shift_phase\\nmain,rz_3,Qubit 75,2510,0,shift_phase\\nmain,rz_3,Qubit 76,2510,0,shift_phase\\nmain,sx_3,Qubit 3,2510,256,play\\nmain,rz_3,Qubit 3,2766,0,shift_phase\\nmain,rz_3,Qubit 75,2766,0,shift_phase\\nmain,rz_3,Qubit 76,2766,0,shift_phase\\nmain,cz_3_2,Qubit 2,2766,21,play\\nmain,cz_3_2,Qubit 3,2766,21,play\\nmain,sx_2,Qubit 2,2787,256,play\\nmain,rz_2,Qubit 74,3043,0,shift_phase\\nmain,rz_2,Qubit 2,3043,0,shift_phase\\nmain,rz_2,Qubit 75,3043,0,shift_phase\\nmain,barrier,Qubit 3,3043,0,barrier\\nmain,barrier,Qubit 2,3043,0,barrier\\nmain,measure_3,Qubit 3,3043,64,play\\nmain,measure_3,Qubit 3,3107,91,play\\nmain,measure_3,AWGR0_3,3154,200,capture\\nmain,measure_3,Qubit 3,3198,64,play\\nmain,measure_3,Qubit 3,3262,64,play\\nmain,measure_3,Qubit 3,3326,64,play\\nmain,measure_3,Qubit 3,3390,64,play\\nmain,measure_3,Qubit 3,3454,64,play\\nmain,measure_2,Qubit 2,3043,64,play\\nmain,measure_2,Qubit 2,3107,91,play\\nmain,measure_2,AWGR0_2,3154,200,capture\\nmain,measure_2,Qubit 2,3198,64,play\\nmain,measure_2,Qubit 2,3262,64,play\\nmain,measure_2,Qubit 2,3326,64,play\\nmain,measure_2,Qubit 2,3390,64,play\\nmain,measure_2,Qubit 2,3454,64,play\\n'}, 'stretch_values': None}})], metadata={'execution': {'execution_spans': ExecutionSpans([DoubleSliceSpan()])}, 'version': 2})\n" + ] + } + ], "source": [ - "## Retrieve jobs by tag\n", - "\n", - "Display a list of jobs with certain tags as follows:" + "result = sampler_job.result()\n", + "print(f\">>> {' Job:':<10} {sampler_job.job_id()} finished with:\\n{result}\")" ] }, { "cell_type": "code", - "execution_count": 21, - "id": "b6db503e-46ef-406e-9420-ef73446df564", + "execution_count": 10, + "id": "204e62e6-cd12-400a-adef-1f7b5d43ab6a", "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "[,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ]" + "'main,barrier,Qubit 2,0,0,barrier\\nmain,barrier,Qubit 3,0,0,barrier\\nmain,INIT_2,Qubit 2,10,2500,play\\nmain,INIT_2,Qubit 2,9,2500,play\\nmain,INIT_3,Qubit 3,10,2500,play\\nmain,INIT_3,Qubit 3,9,2500,play\\nmain,barrier,Qubit 2,2510,0,barrier\\nmain,barrier,Qubit 3,2510,0,barrier\\nmain,rz_2,Qubit 74,2510,0,shift_phase\\nmain,rz_2,Qubit 2,2510,0,shift_phase\\nmain,rz_2,Qubit 75,2510,0,shift_phase\\nmain,sx_2,Qubit 2,2510,256,play\\nmain,rz_2,Qubit 74,2766,0,shift_phase\\nmain,rz_2,Qubit 2,2766,0,shift_phase\\nmain,rz_2,Qubit 75,2766,0,shift_phase\\nmain,rz_3,Qubit 3,2510,0,shift_phase\\nmain,rz_3,Qubit 75,2510,0,shift_phase\\nmain,rz_3,Qubit 76,2510,0,shift_phase\\nmain,sx_3,Qubit 3,2510,256,play\\nmain,rz_3,Qubit 3,2766,0,shift_phase\\nmain,rz_3,Qubit 75,2766,0,shift_phase\\nmain,rz_3,Qubit 76,2766,0,shift_phase\\nmain,cz_3_2,Qubit 2,2766,21,play\\nmain,cz_3_2,Qubit 3,2766,21,play\\nmain,sx_2,Qubit 2,2787,256,play\\nmain,rz_2,Qubit 74,3043,0,shift_phase\\nmain,rz_2,Qubit 2,3043,0,shift_phase\\nmain,rz_2,Qubit 75,3043,0,shift_phase\\nmain,barrier,Qubit 3,3043,0,barrier\\nmain,barrier,Qubit 2,3043,0,barrier\\nmain,measure_3,Qubit 3,3043,64,play\\nmain,measure_3,Qubit 3,3107,91,play\\nmain,measure_3,AWGR0_3,3154,200,capture\\nmain,measure_3,Qubit 3,3198,64,play\\nmain,measure_3,Qubit 3,3262,64,play\\nmain,measure_3,Qubit 3,3326,64,play\\nmain,measure_3,Qubit 3,3390,64,play\\nmain,measure_3,Qubit 3,3454,64,play\\nmain,measure_2,Qubit 2,3043,64,play\\nmain,measure_2,Qubit 2,3107,91,play\\nmain,measure_2,AWGR0_2,3154,200,capture\\nmain,measure_2,Qubit 2,3198,64,play\\nmain,measure_2,Qubit 2,3262,64,play\\nmain,measure_2,Qubit 2,3326,64,play\\nmain,measure_2,Qubit 2,3390,64,play\\nmain,measure_2,Qubit 2,3454,64,play\\n'" ] }, - "execution_count": 21, + "execution_count": 10, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "# List jobs with a specific tag or set of tags\n", + "# getting the circuit schedule timing\n", + "result[0].metadata[\"compilation\"][\"scheduler_timing\"][\"timing\"]" + ] + }, + { + "cell_type": "markdown", + "id": "58a2812a-5d00-4b88-8c98-cf46a67e4217", + "metadata": {}, + "source": [ + "### Visualize and Save\n", "\n", - "service.jobs(job_tags=[\"experiment-2025\", \"sampler-example\"])" + "Checkout the [PR's](https://github.com/Qiskit/qiskit-ibm-runtime/pull/2361) docs to better understand the different input argument to `draw_circuit_schedule_timing()`." + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "62676ffa-48e4-4d28-acc5-743fb5899dc7", + "metadata": {}, + "outputs": [], + "source": [ + "from qiskit_ibm_runtime.visualization import draw_circuit_schedule_timing\n", + "\n", + "circuit_schedule = (\n", + " result[0]\n", + " .metadata[\"compilation\"][\"scheduler_timing\"][\"timing\"]\n", + " .split(\"\\n\")\n", + ")\n", + "fig = draw_circuit_schedule_timing(\n", + " circuit_schedule=circuit_schedule,\n", + " included_channels=None,\n", + " filter_readout_channels=False,\n", + " filter_barriers=False,\n", + " width=1000,\n", + ")" + ] + }, + { + "cell_type": "markdown", + "id": "ab0c93b3-18b7-4388-a050-97bbc74f4aa7", + "metadata": {}, + "source": [ + "### AWGRX_Y definition\n", + "AWGR stands for Arbitrary Wave Generator Readout (AWGR) and is used for readout channels communication for measuring qubits,\n", + "as opposed to drive channels which are for driving the qubits. 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" + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig.show()" ] } ], "metadata": { - "description": "Assign job tags, add and update tags, and search by tag to better organize your experiments.", + "description": "Use Qiskit for classical feedforward and control flow, otherwise referred to as dynamic circuits", "kernelspec": { "display_name": "Python 3", "language": "python", @@ -182,8 +3817,8 @@ "pygments_lexer": "ipython3", "version": "3" }, - "title": "Organize and search by job tags" + "title": "Classical feedforward and control flow (dynamic circuits)" }, "nbformat": 4, - "nbformat_minor": 4 + "nbformat_minor": 5 } diff --git a/scripts/nb-tester/requirements.txt b/scripts/nb-tester/requirements.txt index bf48e91f78c..2f4ddd96a64 100644 --- a/scripts/nb-tester/requirements.txt +++ b/scripts/nb-tester/requirements.txt @@ -3,6 +3,7 @@ qiskit[all]~=2.1.2 qiskit-ibm-runtime~=0.40.1 +qiskit-ibm-runtime @ git+https://github.com/RoyElkabetz/qiskit-ibm-runtime.git@re-sched-vis qiskit-ibm-transpiler[ai-local-mode]~=0.14.2 qiskit-aer~=0.17 qiskit-serverless~=0.26.0