{"id":19863460,"url":"https://github.com/sandialabs/sbovqaopt","last_synced_at":"2025-11-24T04:02:24.594Z","repository":{"id":58879933,"uuid":"516884866","full_name":"sandialabs/sbovqaopt","owner":"sandialabs","description":"Surrogate-based optimizer for variational quantum algorithms.","archived":false,"fork":false,"pushed_at":"2023-04-04T20:41:27.000Z","size":38,"stargazers_count":2,"open_issues_count":0,"forks_count":0,"subscribers_count":3,"default_branch":"main","last_synced_at":"2025-01-11T15:24:11.267Z","etag":null,"topics":["scr-2807","snl-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":"other","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/sandialabs.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":"2022-07-22T20:56:56.000Z","updated_at":"2024-08-14T18:05:10.000Z","dependencies_parsed_at":"2025-01-11T15:24:09.491Z","dependency_job_id":"9a9c202f-c4ef-4b6e-a820-55274b9dd071","html_url":"https://github.com/sandialabs/sbovqaopt","commit_stats":{"total_commits":2,"total_committers":1,"mean_commits":2.0,"dds":0.0,"last_synced_commit":"e62cbb1dd6875b8926f022f73c633c335d379f58"},"previous_names":[],"tags_count":1,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/sandialabs%2Fsbovqaopt","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/sandialabs%2Fsbovqaopt/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/sandialabs%2Fsbovqaopt/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/sandialabs%2Fsbovqaopt/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/sandialabs","download_url":"https://codeload.github.com/sandialabs/sbovqaopt/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":241272625,"owners_count":19937091,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","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":["scr-2807","snl-quantum-computing"],"created_at":"2024-11-12T15:14:44.582Z","updated_at":"2025-11-24T04:02:19.576Z","avatar_url":"https://github.com/sandialabs.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"[![Python package](https://github.com/sandialabs/sbovqaopt/actions/workflows/python-package.yml/badge.svg)](https://github.com/sandialabs/sbovqaopt/actions/workflows/python-package.yml)\n\n# sbovqaopt: Surrogate-based optimizer for variational quantum algorithms\n\nThe `sbovqaopt` package provides a surrogate-based optimizer for variational quantum algorithms as introduced in\n[Phys. Rev. A 107, 032415](https://doi.org/10.1103/PhysRevA.107.032415),\n[arXiv:2204.05451](https://arxiv.org/abs/2204.05451).\n\n\n## Installation\n\nThe `sbovqaopt` package distribution is hosted on PyPI and can be installed via `pip`:\n\n```\npip install sbovqaopt\n```\n\n## Usage\n\nFor examples of using `sbovqaopt`, see the [example notebooks](./examples) and [unit tests](./tests).\n\n## Development\n\nFor development purposes, the package and its requirements can be installed by cloning the repository locally:\n\n```\ngit clone https://github.com/sandialabs/sbovqaopt\ncd sbovqaopt\npip install -r requirements.txt\npip install -e .\n```\n\n## Citation\n\nIf you use or refer to this project in any publication, please cite the corresponding paper:\n\n\u003e Ryan Shaffer, Lucas Kocia, Mohan Sarovar. _Surrogate-based optimization for variational quantum algorithms._ Phys. Rev. A 107, 032415 (2023). https://doi.org/10.1103/PhysRevA.107.032415\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsandialabs%2Fsbovqaopt","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fsandialabs%2Fsbovqaopt","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsandialabs%2Fsbovqaopt/lists"}