Breast Cancer Detection with Quanvolutional Neural Networks

Abstract

The primary contribution of this research is the implementation of quantum convolutional layers as feature extractors in a neural network model, aimed at capturing robust features from ultrasound breast images for breast cancer detection. Our proposed method utilizes angle encoding for data mapping and employs quantum circuits with a fixed sequence of parameterized gates, incorporating quantum convolutional layers with a 3 × 3 kernel size.