With the advancement of research into quantum key distribution (QKD) 1,2, we are moving ever closer to a world in which QKD systems are a part of real-world infrastructure 3,4. In such a setting, ...
We propose considering Quantum Key Distribution (QKD) protocols as a use case for Quantum Machine Learning (QML) algorithms. We define and investigate the QML task of optimizing eavesdropping attacks ...