Negational Symmetry of Quantum Neural Networks for Binary Pattern Classification

Publication

This repository provides the source codes and pre-trained weights described in the paper:
Negational Symmetry of Quantum Neural Networks for Binary Pattern Classification.

Enviroment

System Requirement

Ubuntu 18.04 LTS
CUDA 10.0+
Python 3.6+

Packages Requirement

Run the following command to install the required packages.

pip3 install -r requirements.txt

Experiments

Run the following command to re-implement the major results.

jupyter notebook main.ipynb

Summary of Demo Experiments

Part 1 Unity of Opposites

Part 1.1 QNNs in Binary Pattern Classication

Part 1.2 Evaluate negational symmetry numerically.

Part 1.3 t-SNE Visualization.

Part 1.4 Drawback of negational symmetry.

Part 2 Comparison with Classical Models.

Part 2.1 Compare with DNNs.

Part 2.2 Compare with CNNs.

Part 2.3 Compare with SVMs.