{"library":"qiskit-experiments","title":"Qiskit Experiments","description":"A library for building, running, and analyzing quantum computing experiments on IBM Qiskit. Current version 0.13.0, released quarterly. Provides experiment classes, analysis modules, and database storage. Requires qiskit-terra and qiskit-ibm-runtime.","language":"python","status":"active","last_verified":"Fri May 01","install":{"commands":["pip install qiskit-experiments"],"cli":null},"imports":["from qiskit_experiments.framework import Experiment","from qiskit_experiments.framework import ParallelExperiment","from qiskit_experiments.framework import CompositeExperiment","from qiskit_experiments.database_service import AnalysisResult","from qiskit_experiments.library import RbFitter"],"auth":{"required":false,"env_vars":[]},"quickstart":{"code":"from qiskit.providers.fake_provider import FakePerth\nfrom qiskit_experiments.library import RandomizedBenchmarking\nfrom qiskit_experiments.framework import ExperimentData\n\nbackend = FakePerth()\nexp = RandomizedBenchmarking(qubits=(0,), lengths=[1, 10, 20], num_samples=10)\nexp_data = exp.run(backend, shots=1024).block_for_results()\nprint(exp_data.analysis_results())","lang":"python","description":"Run a simple randomized benchmarking experiment on a fake backend, then print analysis results.","tag":null,"tag_description":null,"last_tested":null,"results":[]},"compatibility":null}