scikit-qulacs
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)
| File | Size | Uploaded | |
|---|---|---|---|
| skqulacs-0.5.3.tar.gz | 20.3 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| 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
| Download URL | skqulacs-0.5.3.tar.gz |
|---|---|
| Size | 20.3 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
poetry/2.1.2 CPython/3.9.21 Linux/5.15.0-1086-azure
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Release files / skqulacs-0.5.3-py3-none-any.whl
| Download URL | skqulacs-0.5.3-py3-none-any.whl |
|---|---|
| Size | 26.4 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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No |
| Uploaded via |
poetry/2.1.2 CPython/3.9.21 Linux/5.15.0-1086-azure
|