Quantum key distribution as a quantum machine learning task

Abstract 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 on the quantum circuit implementation of the BB84 protocol. QKD protocols are well understo...

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Bibliographic Details
Main Authors: Thomas Decker, Marcelin Gallezot, Sven Florian Kerstan, Alessio Paesano, Anke Ginter, Wadim Wormsbecher
Format: Article
Language:English
Published: Nature Portfolio 2025-08-01
Series:npj Quantum Information
Online Access:https://doi.org/10.1038/s41534-025-01088-9
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