Metadata-Version: 2.1
Name: mnisq
Version: 0.1.0
Summary: 
Home-page: https://github.com/FujiiLabCollaboration/MNISQ-quantum-circuit-dataset
License: MIT
Author: MNISQ
Author-email: mnisq.osaka@gmail.com
Requires-Python: >=3.8,<3.11
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Requires-Dist: matplotlib (>=3.6.2,<4.0.0)
Requires-Dist: numpy (>=1.0.0,<2.0.0)
Requires-Dist: opencv-python (>=4.7.0.72,<5.0.0.0)
Requires-Dist: qulacs (>=0.6.0,<0.7.0)
Requires-Dist: requests (>=2.28.1,<3.0.0)
Requires-Dist: scikit-learn (>=1.2.0,<2.0.0)
Requires-Dist: tqdm (>=4.64.1,<5.0.0)
Requires-Dist: typer[all] (>=0.7.0,<0.8.0)
Requires-Dist: types-requests (>=2.28.11.5,<3.0.0.0)
Project-URL: Repository, https://github.com/FujiiLabCollaboration/MNISQ-quantum-circuit-dataset
Description-Content-Type: text/markdown

# PAGE UNDER CONSTRUCTION
quantum circuit dataset - this repository will be soon completed

===> dataset is already accessible!

There is already the dataset and qml experiments, some guide can be found in doc/sources

# MNISQ-quantum-circuit-dataset

This library provides machine learning datasets as a Qulacs's QuantumCircuit instance.

## How To Install

```
pip install git+https://github.com/FujiiLabCollaboration/MNISQ-quantum-circuit-dataset.git
```

## Directory structure
- `doc/source/notebooks` provides sample usage of this library.
- `mnisq` and `tests` contains python code.
- `generator_scripts` contains scripts used to generate datasets.

