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Qiskit Algorithms\n\n[![License](https://img.shields.io/github/license/qiskit-community/qiskit-algorithms.svg?style=popout-square)](https://opensource.org/licenses/Apache-2.0)\u003c!--- long-description-skip-begin --\u003e[![Build Status](https://github.com/qiskit-community/qiskit-algorithms/workflows/Algorithms%20Unit%20Tests/badge.svg?branch=main)](https://github.com/qiskit-community/qiskit-algorithms/actions?query=workflow%3A\"Algorithms%20Unit%20Tests\"+branch%3Amain+event%3Apush)[![](https://img.shields.io/github/release/qiskit-community/qiskit-algorithms.svg?style=popout-square)](https://github.com/qiskit-community/qiskit-algorithms/releases)[![](https://img.shields.io/pypi/dm/qiskit-algorithms.svg?style=popout-square)](https://pypi.org/project/qiskit-algorithms/)[![Coverage Status](https://coveralls.io/repos/github/qiskit-community/qiskit-algorithms/badge.svg?branch=main)](https://coveralls.io/github/qiskit-community/qiskit-algorithms?branch=main)\u003c!--- long-description-skip-end --\u003e\n\n\u003e [!WARNING]  \n\u003e **Qiskit Algorithms is no longer officially supported by IBM**.  \n\u003e Like any other Apache 2 licensed code, you are free to use it or/and extend it, but please be aware that it is under your own risk. \n\n## Installation\n\nWe encourage installing Qiskit Algorithms via the pip tool (a python package manager).\n\n```bash\npip install qiskit-algorithms\n```\n\n**pip** will handle all dependencies automatically and you will always install the latest\n(and well-tested) version.\n\nIf you want to work on the very latest work-in-progress versions, either to try features ahead of\ntheir official release or if you want to contribute to Algorithms, then you can install from source.\nTo do this follow the instructions in the\n [documentation](https://qiskit-community.github.io/qiskit-algorithms/getting_started.html#installation).\n\n\n----------------------------------------------------------------------------------------------------\n\n### Optional Installs\n\nSome optimization algorithms require specific libraries to be run:\n\n* **Scikit-quant**, may be installed using the command `pip install scikit-quant`.\n\n* **SnobFit**, may be installed using the command `pip install SQSnobFit`.\n\n* **NLOpt**, may be installed using the command `pip install nlopt`.\n\n[//]: # (### Creating Your First Algorithm in Qiskit)\n\n[//]: # (### Further examples)\n\n----------------------------------------------------------------------------------------------------\n\n## Contribution Guidelines\n\nIf you'd like to contribute to Qiskit Algorithms, please take a look at our\n[contribution guidelines](https://github.com/qiskit-community/qiskit-algorithms/blob/main/CONTRIBUTING.md).\nThis project adheres to Qiskit's [code of conduct](https://github.com/qiskit-community/qiskit-algorithms/blob/main/CODE_OF_CONDUCT.md).\nBy participating, you are expected to uphold this code.\n\nWe use [GitHub issues](https://github.com/qiskit-community/qiskit-algorithms/issues) for tracking requests and bugs. Please\n[join the Qiskit Slack community](https://qisk.it/join-slack)\nand for discussion and simple questions.\nFor questions that are more suited for a forum, we use the **Qiskit** tag in [Stack Overflow](https://stackoverflow.com/questions/tagged/qiskit).\n\n## Authors and Citation\n\nQiskit Algorithms was inspired, authored and brought about by the collective work of a team of researchers.\nAlgorithms continues to grow with the help and work of\n[many people](https://github.com/qiskit-community/qiskit-algorithms/graphs/contributors), who contribute\nto the project at different levels.\nIf you use Qiskit, please cite as per the provided\n[BibTeX file](https://github.com/Qiskit/qiskit/blob/main/CITATION.bib).\n\n## License\n\nThis project uses the [Apache License 2.0](https://github.com/qiskit-community/qiskit-algorithms/blob/main/LICENSE.txt).\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fqiskit-community%2Fqiskit-algorithms","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fqiskit-community%2Fqiskit-algorithms","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fqiskit-community%2Fqiskit-algorithms/lists"}