Projects

This project integrates quantum processing into a classical deep learning pipeline, demonstrating the potential of quantum convolution in image classification tasks. The readme file could further discuss the implications of combining quantum and classical approaches and interpret the training results.

The project’s objective is to benchmark the repective routing algorithm on various available QPU’s by testing on several optimization algorithm to observe and compare the best optimal (minimal) cost for a vehicles to deliver goods to a fixed number of customers with optimal efficiency.