Skip to main content

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

Project description

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

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

skqulacs-0.5.2.tar.gz (20.3 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

skqulacs-0.5.2-py3-none-any.whl (26.4 kB view details)

Uploaded Python 3

File details

Details for the file skqulacs-0.5.2.tar.gz.

File metadata

  • Download URL: skqulacs-0.5.2.tar.gz
  • Upload date:
  • Size: 20.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/2.1.1 CPython/3.9.21 Linux/5.15.0-1079-azure

File hashes

Hashes for skqulacs-0.5.2.tar.gz
Algorithm Hash digest
SHA256 54974e97f40a6488ddca113cd9351275cfbaaee3e109d5adbd3a774d636dd49d
MD5 4477fde655a8c049896581e34478f8d6
BLAKE2b-256 325ea616849e4b4851b3ae5034dc001cb5fa9d47c4d97c145ad23daca4580150

See more details on using hashes here.

File details

Details for the file skqulacs-0.5.2-py3-none-any.whl.

File metadata

  • Download URL: skqulacs-0.5.2-py3-none-any.whl
  • Upload date:
  • Size: 26.4 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/2.1.1 CPython/3.9.21 Linux/5.15.0-1079-azure

File hashes

Hashes for skqulacs-0.5.2-py3-none-any.whl
Algorithm Hash digest
SHA256 fe7d744af94ae206bdfff5b40806f0b1026ad8838dde6b651a9fba345ab338a7
MD5 694f9b0db988983cf3eff565e02cc374
BLAKE2b-256 ac22e599efebfba14a5f8352c14525f129108781f6ae890a6b936df8e2186f4f

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page