quple


Namequple JSON
Version 0.6.5.4.5 PyPI version JSON
download
home_pagehttps://gitlab.cern.ch/clcheng/quple
SummaryA framework for quantum machine learning in high energy physics
upload_time2020-11-28 20:15:12
maintainer
docs_urlNone
authorAlkaid Cheng
requires_python>=3.5
license
keywords
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI No Travis.
coveralls test coverage No coveralls.
            # Quple

A framework for quantum machine learning using the google cirq library

Documentation can be found [here](https://alkaidcheng.github.io/quple.github.io/docs/Quple_GSoC_report.pdf).

## Colab Notebook Tutorials

### Quantum Circuit / Parameterized Circuit
* [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/AlkaidCheng/quple.github.io/blob/master/examples/Parameterized_Circuits_Walkthrough.ipynb)

### Interaction Graph
* [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/AlkaidCheng/quple.github.io/blob/master/examples/Interaction_Graphs_Walkthrough.ipynb)

### Encoding Circuit
* [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/AlkaidCheng/quple.github.io/blob/master/examples/Encoding_Circuit_Walkthrough.ipynb)

### Encoding Function
* [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/AlkaidCheng/quple.github.io/blob/master/examples/Encoding_Function_Walkthrough.ipynb)

### Variational Circuit
* [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/AlkaidCheng/quple.github.io/blob/master/examples/Variational_Circuits_Walkthrough.ipynb)

### Variational Quantum Classifier
* [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/AlkaidCheng/quple.github.io/blob/master/examples/Variational_Quantum_Classifier_Walkthrough.ipynb)

### Circuit Descriptors
* [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/AlkaidCheng/quple.github.io/blob/master/examples/Circuit_Descriptors_Walkthrough.ipynb)

### Extra Features
* [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/AlkaidCheng/quple.github.io/blob/master/examples/Feature_Updates_Jul_7.ipynb)



            

Raw data

            {
    "_id": null,
    "home_page": "https://gitlab.cern.ch/clcheng/quple",
    "name": "quple",
    "maintainer": "",
    "docs_url": null,
    "requires_python": ">=3.5",
    "maintainer_email": "",
    "keywords": "",
    "author": "Alkaid Cheng",
    "author_email": "chi.lung.cheng@cern.ch",
    "download_url": "https://files.pythonhosted.org/packages/40/4a/d9dc0356fe7c5c396c59a11c4288826cac59ca8d4da36625b2b06cf46752/quple-0.6.5.4.5.tar.gz",
    "platform": "",
    "description": "# Quple\n\nA framework for quantum machine learning using the google cirq library\n\nDocumentation can be found [here](https://alkaidcheng.github.io/quple.github.io/docs/Quple_GSoC_report.pdf).\n\n## Colab Notebook Tutorials\n\n### Quantum Circuit / Parameterized Circuit\n* [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/AlkaidCheng/quple.github.io/blob/master/examples/Parameterized_Circuits_Walkthrough.ipynb)\n\n### Interaction Graph\n* [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/AlkaidCheng/quple.github.io/blob/master/examples/Interaction_Graphs_Walkthrough.ipynb)\n\n### Encoding Circuit\n* [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/AlkaidCheng/quple.github.io/blob/master/examples/Encoding_Circuit_Walkthrough.ipynb)\n\n### Encoding Function\n* [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/AlkaidCheng/quple.github.io/blob/master/examples/Encoding_Function_Walkthrough.ipynb)\n\n### Variational Circuit\n* [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/AlkaidCheng/quple.github.io/blob/master/examples/Variational_Circuits_Walkthrough.ipynb)\n\n### Variational Quantum Classifier\n* [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/AlkaidCheng/quple.github.io/blob/master/examples/Variational_Quantum_Classifier_Walkthrough.ipynb)\n\n### Circuit Descriptors\n* [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/AlkaidCheng/quple.github.io/blob/master/examples/Circuit_Descriptors_Walkthrough.ipynb)\n\n### Extra Features\n* [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/AlkaidCheng/quple.github.io/blob/master/examples/Feature_Updates_Jul_7.ipynb)\n\n\n",
    "bugtrack_url": null,
    "license": "",
    "summary": "A framework for quantum machine learning in high energy physics",
    "version": "0.6.5.4.5",
    "split_keywords": [],
    "urls": [
        {
            "comment_text": "",
            "digests": {
                "md5": "195047517a72c2e5f4bbc083011f356f",
                "sha256": "ca6e99620bc188cc51611cdea612116b08d6d9ef1ab828824a321f9903af9943"
            },
            "downloads": -1,
            "filename": "quple-0.6.5.4.5-py3-none-any.whl",
            "has_sig": false,
            "md5_digest": "195047517a72c2e5f4bbc083011f356f",
            "packagetype": "bdist_wheel",
            "python_version": "py3",
            "requires_python": ">=3.5",
            "size": 70171,
            "upload_time": "2020-11-28T20:15:11",
            "upload_time_iso_8601": "2020-11-28T20:15:11.175994Z",
            "url": "https://files.pythonhosted.org/packages/75/f3/ba7c8cd413f4307dbaed21cdfe0a53b71ac11e18611b0509dc8e6fa2e3d2/quple-0.6.5.4.5-py3-none-any.whl",
            "yanked": false,
            "yanked_reason": null
        },
        {
            "comment_text": "",
            "digests": {
                "md5": "695b694e943d4e00afd6b6100dd9d9eb",
                "sha256": "a397b3bcc1bedb55e20ca318a8f658a665dee080e1e55accd24a703c46dfe256"
            },
            "downloads": -1,
            "filename": "quple-0.6.5.4.5.tar.gz",
            "has_sig": false,
            "md5_digest": "695b694e943d4e00afd6b6100dd9d9eb",
            "packagetype": "sdist",
            "python_version": "source",
            "requires_python": ">=3.5",
            "size": 45780,
            "upload_time": "2020-11-28T20:15:12",
            "upload_time_iso_8601": "2020-11-28T20:15:12.514992Z",
            "url": "https://files.pythonhosted.org/packages/40/4a/d9dc0356fe7c5c396c59a11c4288826cac59ca8d4da36625b2b06cf46752/quple-0.6.5.4.5.tar.gz",
            "yanked": false,
            "yanked_reason": null
        }
    ],
    "upload_time": "2020-11-28 20:15:12",
    "github": false,
    "gitlab": false,
    "bitbucket": false,
    "lcname": "quple"
}
        
Elapsed time: 0.23547s