Quantum Convolutional Neural Networks for Surface Crack Detection

A convolutional neural network based on quantum orthogonal neural networks, applied to surface crack segmentation

Joint work with BMW, winner of the BMW Quantum Computing Challenge (Automated Quality Analysis, 2021).

Designed a convolutional neural network based on quantum orthogonal neural networks and used the developed techniques to segment cracks on surface images.