bgls


Namebgls JSON
Version 0.1.0 PyPI version JSON
download
home_pagehttps://github.com/asciineuron/bgls
SummaryImplementation of the gate-by-gate sampling algorithm.
upload_time2023-01-25 10:30:44
maintainer
docs_urlNone
authorAlex Shapiro
requires_python>=3.7
licenseApache 2.0
keywords
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI No Travis.
coveralls test coverage No coveralls.
            # bgls

[![build](https://github.com/asciineuron/bgls/workflows/Python%20package/badge.svg)](https://github.com/asciineuron/bgls/actions)
[![Repository](https://img.shields.io/badge/GitHub-5C5C5C.svg?logo=github)](https://github.com/asciineuron/bgls)

bgls is a cirq-interfacing implementation of the gate-by-gate quantum sampling algorithm described by https://arxiv.org/abs/2112.08499.

            

Raw data

            {
    "_id": null,
    "home_page": "https://github.com/asciineuron/bgls",
    "name": "bgls",
    "maintainer": "",
    "docs_url": null,
    "requires_python": ">=3.7",
    "maintainer_email": "",
    "keywords": "",
    "author": "Alex Shapiro",
    "author_email": "alexander.shapiro@epfl.ch",
    "download_url": "https://files.pythonhosted.org/packages/9a/29/9834aa51127f38d6933f220617433f48b30f2df4855bcaa3baceb72f1a73/bgls-0.1.0.tar.gz",
    "platform": null,
    "description": "# bgls\r\n\r\n[![build](https://github.com/asciineuron/bgls/workflows/Python%20package/badge.svg)](https://github.com/asciineuron/bgls/actions)\r\n[![Repository](https://img.shields.io/badge/GitHub-5C5C5C.svg?logo=github)](https://github.com/asciineuron/bgls)\r\n\r\nbgls is a cirq-interfacing implementation of the gate-by-gate quantum sampling algorithm described by https://arxiv.org/abs/2112.08499.\r\n",
    "bugtrack_url": null,
    "license": "Apache 2.0",
    "summary": "Implementation of the gate-by-gate sampling algorithm.",
    "version": "0.1.0",
    "split_keywords": [],
    "urls": [
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "9a299834aa51127f38d6933f220617433f48b30f2df4855bcaa3baceb72f1a73",
                "md5": "9763ff12a02f7bc4f6342c4972de6839",
                "sha256": "c2b70cf517decf62dc15d31f44a56d6a7d881bd5278ced42e0a66fc1ca9ea66e"
            },
            "downloads": -1,
            "filename": "bgls-0.1.0.tar.gz",
            "has_sig": false,
            "md5_digest": "9763ff12a02f7bc4f6342c4972de6839",
            "packagetype": "sdist",
            "python_version": "source",
            "requires_python": ">=3.7",
            "size": 10211,
            "upload_time": "2023-01-25T10:30:44",
            "upload_time_iso_8601": "2023-01-25T10:30:44.113695Z",
            "url": "https://files.pythonhosted.org/packages/9a/29/9834aa51127f38d6933f220617433f48b30f2df4855bcaa3baceb72f1a73/bgls-0.1.0.tar.gz",
            "yanked": false,
            "yanked_reason": null
        }
    ],
    "upload_time": "2023-01-25 10:30:44",
    "github": true,
    "gitlab": false,
    "bitbucket": false,
    "github_user": "asciineuron",
    "github_project": "bgls",
    "lcname": "bgls"
}
        
Elapsed time: 0.16317s