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.