{"categories":[{"label":"Scientific/Engineering","url":"https://skillfed.io/packages/category/scientific-engineering/7"}],"enrichment":{"capability":"Qiskit Algorithms provides a library of quantum computing algorithms built on top of qiskit, scipy, and numpy for running on quantum computers and simulators.","skillfed_tags":["quantum-computing","community-maintained"],"use_cases":["Implement variational quantum eigensolvers (VQE) to find ground state energies of quantum systems.","Run quantum optimization algorithms on quantum hardware or simulators for combinatorial problem-solving.","Develop quantum machine learning workflows using pre-built algorithm implementations.","Prototype and test quantum algorithms before deploying to real quantum hardware.","Extend or customize existing algorithms for specialized quantum computing research."],"what_it_does":"Qiskit Algorithms is a library of quantum computing algorithms designed to run on quantum computers and simulators via the qiskit framework. It provides implementations of variational, optimization, and machine learning algorithms commonly used in quantum computing research and development.\n\nThe package depends on qiskit (the core quantum computing SDK), scipy, and numpy for numerical computation. It is no longer officially maintained by IBM but remains available under Apache 2.0 license for community use and extension. Some algorithms support optional third-party optimizers like scikit-quant, SQSnobFit, and nlopt, which can be installed separately as needed.","worth_installing":"Yes, if you are working with qiskit and need standard quantum algorithms. The low install friction and active repository make it straightforward to use. However, be aware that IBM no longer provides official support\u2014this is a community-maintained project. Suitable for research, prototyping, and learning; evaluate your risk tolerance for unsupported code in production use."},"id":"qiskit-algorithms","links":{"html":"https://skillfed.io/packages/qiskit-algorithms","md":"https://skillfed.io/packages/qiskit-algorithms.md","pypi":"https://pypi.org/project/qiskit-algorithms/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2025-08-29","license_spdx":null,"license_treatment":"permissive","name":"qiskit-algorithms","python_support":"supports_current","summary":"Qiskit Algorithms: A library of quantum computing algorithms"},"popularity":{"monthly_downloads":112810,"position":12358,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"0.4.0"}