Hybrid Quantum-Classical Autoencoders for Unsupervised Network Intrusion Detection
arXiv:2512.05069v2 Announce Type: replace
Abstract: Unsupervised anomaly-based intrusion detection requires models that can generalize to attack patterns not observed during training. This work presents the first large-scale evaluation of hybrid quant…