Applications of Machine Learning in Quantum Key Distribution Networks

Quantum key distribution (QKD) technology can achieve information theoretical secure with one-time pad encryption. Machine learning (ML) provides systems the ability to automatically learn and improve from experience without being explicitly programmed. There are some applications of ML in telecommunication networks, such as traffic prediction and fault prediction. There is increasing interest in the field in applying ML to improve the performance of quantum communication networks. In this talk, I will introduce the applications of machine learning (ML) in quantum key distribution networks (QKDNs), including the applications in quantum layer, key management layer, and control and management layers.