{"id":37695258,"url":"https://github.com/zapatacomputing/qb-gsee-benchmark","last_synced_at":"2026-01-16T12:47:53.779Z","repository":{"id":253719332,"uuid":"833749728","full_name":"zapatacomputing/qb-gsee-benchmark","owner":"zapatacomputing","description":"A comprehensive suite for benchmarking Ground State Energy Estimation (GSEE) algorithms.","archived":false,"fork":false,"pushed_at":"2024-10-07T22:06:56.000Z","size":907,"stargazers_count":4,"open_issues_count":4,"forks_count":4,"subscribers_count":6,"default_branch":"main","last_synced_at":"2026-01-14T19:21:45.722Z","etag":null,"topics":["quantum-computing"],"latest_commit_sha":null,"homepage":"","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"apache-2.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/zapatacomputing.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2024-07-25T17:05:48.000Z","updated_at":"2024-12-02T20:14:59.000Z","dependencies_parsed_at":null,"dependency_job_id":"db6b3ba4-8a11-48e8-89a3-3828ab5ef399","html_url":"https://github.com/zapatacomputing/qb-gsee-benchmark","commit_stats":null,"previous_names":["zapatacomputing/qb-gsee-benchmark"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/zapatacomputing/qb-gsee-benchmark","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/zapatacomputing%2Fqb-gsee-benchmark","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/zapatacomputing%2Fqb-gsee-benchmark/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/zapatacomputing%2Fqb-gsee-benchmark/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/zapatacomputing%2Fqb-gsee-benchmark/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/zapatacomputing","download_url":"https://codeload.github.com/zapatacomputing/qb-gsee-benchmark/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/zapatacomputing%2Fqb-gsee-benchmark/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":28478743,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-01-16T11:59:17.896Z","status":"ssl_error","status_checked_at":"2026-01-16T11:55:55.838Z","response_time":107,"last_error":"SSL_read: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["quantum-computing"],"created_at":"2026-01-16T12:47:53.689Z","updated_at":"2026-01-16T12:47:53.762Z","avatar_url":"https://github.com/zapatacomputing.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# QB-GSEE-Benchmark\n\nQB-GSEE-Benchmark is a comprehensive suite for benchmarking Ground State Energy Estimation (GSEE) algorithms developed by the DARPA Quantum Benchmarking (QB) Program. This tool enables performers to run a subset of Hamiltonian instances and assess the performance of their algorithms in terms of accuracy, runtime, and hardware utilization.\n\n## What is QB-GSEE-Benchmark?\n\nThis repository includes:\n- A curated list of Hamiltonian instances for benchmarking, sourced from the [qb-gsee-problem-instances repository](https://github.com/jp7745/qb-gsee-problem-instances).\n- Example code to access and process these instances.\n- Scripts to evaluate and summarize the performance of GSEE algorithms.\n\nPerformers will generate solution files that detail:\n- Estimated energies or accuracies\n- Computation runtime\n- Hardware specifications\n- Other relevant metrics\n\nThese solution files can then be used with this tool to generate comprehensive performance summaries and interface with the \"Bubble ML\" GUI for advanced performance exploration.\n\n## Installation\n\nClone this repository to get started:\n```bash\ngit clone https://github.com/yourusername/qb-gsee-benchmark.git\ncd qb-gsee-benchmark\n```\n\n\u003c!---\n### Requirements\n\n- Python 3.7+\n- Necessary Python packages can be installed via:\n```bash\npip install -r requirements.txt\n```\n---\u003e\n## Usage\n\n1. **Prepare the Data**:\n   Download and prepare the problem instances from the qb-gsee-problem-instances repository. Follow their guide on downloading associated data files.\n\n2. **Running Benchmarks**:\n   Execute the benchmark scripts with your solution files:\n   ```bash\n   python run_benchmark.py solution_file.json\n   ```\n\n3. **View Results**:\n   After running the benchmarks, generate a summary of performance:\n   ```bash\n   python summarize_performance.py solution_file.json\n   ```\n\n4. **Explore with Bubble ML**:\n   Launch the Bubble ML GUI to visualize and explore performance details:\n   ```bash\n   python bubble_ml_gui.py\n   ```\n\n## Contributing\n\nContributions to the QB-GSEE-Benchmark are welcome! Please consider the following steps:\n- Fork the repository.\n- Create a feature branch (`git checkout -b feature-branch`).\n- Commit your changes (`git commit -am 'Add some feature'`).\n- Push to the branch (`git push origin feature-branch`).\n- Open a Pull Request.\n\n## License\n\nThis project is licensed under the Apache License, Version 2.0 - see the [LICENSE](LICENSE) file for details.\n\n## Acknowledgments\n\nThis software was developed as a part of [DARPA Quantum Benchmarking program](https://www.darpa.mil/program/quantum-benchmarking).\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fzapatacomputing%2Fqb-gsee-benchmark","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fzapatacomputing%2Fqb-gsee-benchmark","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fzapatacomputing%2Fqb-gsee-benchmark/lists"}