Balaji Chandrasekaran

A comparative evaluation of quantum machine learning architectures for breast cancer classification using clinical and genomic data

The results show that for high dimensional breast cancer data, currently available simulator-based QML models can learn meaningful patterns with limited quantum resources, but are not as effective as powerful classical machine learning models when complete feature representations are available.