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scikit-qulacs

Unit test Build and Deploy Documentation codecov PyPI version MIT

scikit-qulacs is a library for quantum neural network. This library is based on qulacs and named after scikit-learn.

Requirements

  • pip
  • Python >= 3.7

Installation

pip

pip install skqulacs

Build from Source

Install poetry before building package.

git clone https://github.com/Qulacs-Osaka/scikit-qulacs.git
cd scikit-qulacs
poetry install

Documentation

Tutorial: scikit-qulacs チュートリアル (Only Japanese version is available now)

API Documentation and example notebooks: scikit-qulacs documentation

Metadata

Release files for skqulacs 0.5.3

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for skqulacs 0.5.3
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skqulacs-0.5.3.tar.gz 20.3 kB Details

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Table of built distributions (wheels) for skqulacs 0.5.3
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skqulacs-0.5.3-py3-none-any.whl Python 3 none any Details

Total release size: 46.7 kB

Release files / skqulacs-0.5.3.tar.gz

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0.5.3 This release

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0.5.2

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0.4.1

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0.2.0

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