qwgc

<img src="./image/qwgc_logo.png" width="300" height="300">

qwgc stands for Quantum Walk Graph Classifier. This project aims to classify graph data with high accuracy. The key ideas of quantum machine learning and quantum walk are here.

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How to install

First, clone remote repository to your local.

git clone https://github.com/qwqmlf/qwgc.git

and then,

cd qwgc
pip install -e .

If you don't have any errors, your build is success.

How to use

experiments.toml is the configuration (Hyper parameter) for QWGC.

Put hyper parameters and then run

cd qwgc
python QWGC.py

(This simulation may take a long time to finish)

Tutorials

Here is the tutorials how to use this (Japanese).

Acknowledgement

This project is supported by IPA mitou target project.