A Hybrid Quantum–Classical Neural Network Framework for the Detection of Quantum Hacking Attacks in CVQKD

The security of continuous-variable quantum key distribution (CVQKD) systems faces severe challenges from quantum hacking attacks in practical deployments. This paper proposes a novel hybrid quantum-classical neural network (HQCNN) architecture for the detection of quantum hacking attacks. This arch...

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Auteurs principaux:	Xinglin He, Jiaxun Xiao, Xuanli Lyu
Format:	Artigo
Langue:	Inglês
Publié:	MDPI AG 2026-03-01
Collection:	Applied Sciences
Sujets:	continuous-variable quantum key distribution detection of quantum hacking attacks hybrid quantum-classical neural network variational quantum circuit
Accès en ligne:	https://www.mdpi.com/2076-3417/16/6/2793
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