{"categories":[{"label":"Scientific/Engineering","url":"https://skillfed.io/packages/category/scientific-engineering/3"}],"enrichment":{"capability":"Provides a Python client to access IBM Quantum Compute (formerly Qiskit Runtime), enabling execution of quantum circuits on IBM quantum hardware with built-in error suppression and mitigation.","skillfed_tags":["quantum-computing","ibm-cloud","primitives"],"use_cases":["Execute parameterized quantum circuits on real IBM quantum hardware with automatic error mitigation applied.","Compute expectation values of quantum operators for variational quantum algorithms and quantum machine learning.","Sample measurement outcomes from quantum circuits to validate quantum algorithms before scaling to larger systems.","Develop and test quantum applications using cloud-based quantum processors without local simulator overhead.","Integrate quantum computation into classical workflows via the Sampler and Estimator primitive interfaces."],"what_it_does":"This package is the official Python client for IBM Quantum Compute, a cloud-based service for running quantum circuits on IBM quantum processors. It provides access to Qiskit primitives\u2014Sampler and Estimator\u2014which are foundational building blocks for quantum algorithms. The Sampler executes circuits and returns measurement results, while the Estimator computes expectation values of quantum observables. Both primitives are optimized for IBM hardware and include built-in error suppression (dynamical decoupling, noise-aware compilation) and error mitigation (readout mitigation, zero-noise extrapolation, probabilistic error cancellation).\n\nThe package handles authentication via IBM Cloud credentials, circuit optimization for target hardware, and job submission and result retrieval. It depends on Qiskit for circuit construction, numpy and scipy for numerical operations, and IBM platform services for cloud integration. You authenticate once by saving credentials to disk or via environment variables, then instantiate a service and submit quantum jobs. The package is actively maintained, supports Python 3.10+, and has no known security vulnerabilities.","worth_installing":"Yes. This is the official client for IBM Quantum Compute and is essential if you need to run quantum circuits on IBM hardware. It is actively maintained, has low install friction, carries no security vulnerabilities, uses a permissive license, and provides well-documented primitives for quantum algorithm development. Install it if you have IBM Quantum Platform or IBM Cloud access and want to execute real quantum computations."},"id":"qiskit-ibm-runtime","links":{"html":"https://skillfed.io/packages/qiskit-ibm-runtime","md":"https://skillfed.io/packages/qiskit-ibm-runtime.md","pypi":"https://pypi.org/project/qiskit-ibm-runtime/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-08-10","license_spdx":null,"license_treatment":"permissive","name":"qiskit-ibm-runtime","python_support":"supports_current","summary":"IBM Quantum client for IBM Quantum Compute (formerly Qiskit Runtime)."},"popularity":{"monthly_downloads":670455,"position":5408,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"0.49.0"}