Training a Quantum Neural Network Requires Only A Small Amount of Data

A new research paper titled "Generalization in quantum machine learning from few training data" was published by researchers at Technical University of Munich, Munich Center for Quantum Science and Technology (MCQST), Caltech, and Los Alamos National Lab. “Many people believe that quantum machine learning will require a lot of data. We have rigorously shown that for many relevant problems,... » read more

Quantum Machine Learning: Security Threats & Lines Of Defense

New research paper from Pennsylvania State University explores quantum machine learning (QML) and its use in hardware security. Find the technical paper here. April 2022. Satwik Kundu and Swaroop Ghosh. 2022. Security Aspects of Quantum Machine Learning: Opportunities, Threats and Defenses (Invited). In Proceedings of the Great Lakes Symposium on VLSI 2022 (GLSVLSI ’22), June 6–8,... » read more