Official implementaion of WheelQNet, yet another toyish quantum binary classifier implemented in pyVQNet

This repo contains code for the contest: 第一届量子信息技术与应用创新大赛 -- 本源量子VQNet量子机器学习大赛赛道
Contest page: https://contest.originqc.com.cn/contest/32/contest:introduction
Team Name: 做好坠机准备
Final Score: 84.6 (the 1st prize 😀)

⚠ only CCQC has 1 classical parameter, and kNN-q is non-parametrical, the other models are all pure quantum parametricalized :) ℹ the proposed WheelQNet looks 花里胡哨 though, it just works!! 🎉 ℹ the proposed kNN-q looks good, but it may be our fortune 😂

⚪ install

• conda create -n vq python==3.8
• conda activare vq
• pip install -r requirements.txt

⚪ run

• python -m src.preprocess -f, make feature data
• python -m src.eval -L log\<model>, get testset predictions
  • python -m src.eval for the default model (knnq)
• run_vqnet.cmd, train on your own to reproduce the submission

⚪ development

• pip install -r requirements_dev.txt
• python preprocess.py -f
• python run_sklearn.py for classical comparations
• python run_vqnet.py -M <model> to train
  • see exmaples in run_vqnet*.cmd
• python run_vqnet.py -L <logdir> to eval

⚪ Q framework & method

• QPanda: https://qpanda-tutorial.readthedocs.io/zh/latest/
• PyQPanda: https://pyqpanda-toturial.readthedocs.io/zh/latest/index.html
• VQNet: https://vqnet20-tutorial.readthedocs.io/en/latest/
• HEA (Hardware Efficient Ansatz): https://arxiv.org/abs/1704.05018
• CQCC (Circuit-Centric Quantum Classifiers): https://arxiv.org/abs/1804.00633
• YouroQNet: https://github.com/Kahsolt/YouroQNet

⚪ problem & data

• kaggle page: https://www.kaggle.com/competitions/titanic/overview
• solution guide: https://towardsdatascience.com/a-beginners-guide-to-kaggle-s-titanic-problem-3193cb56f6ca

If you find this work useful, please give a star ⭐ and cite~ 😃

@misc{kahsolt2023,
  author = {Kahsolt},
  title  = {WheelQNet: Quantum Binary Classification via Rotation Averaging},
  howpublished = {\url{https://github.com/Kahsolt/WheelQNet}}
  month  = {December},
  year   = {2023}
}

by Armit 2023/10/27