Rank deficiency of local Hamiltonians in classically fragmented models generates entangled frozen states, splitting mobile sectors into quantum Krylov subspaces and frozen entangled parts, with weak and strong quantum fragmentation distinguished by the number and ergodicity of irreducible blocks.
Network traffic classification using convolutional neural networks.arXiv preprint arXiv:2006.09765, 2020
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RWKV model pretrained on benign L3/L4 metadata achieves PR-AUC 0.93 for zero-shot attack detection via perplexity, outperforming LSTM baselines.
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Quantum Hilbert Space Fragmentation and Entangled Frozen States
Rank deficiency of local Hamiltonians in classically fragmented models generates entangled frozen states, splitting mobile sectors into quantum Krylov subspaces and frozen entangled parts, with weak and strong quantum fragmentation distinguished by the number and ergodicity of irreducible blocks.
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A Protocol-Language Model for Network Intrusion (Without Deep Packet Inspection)
RWKV model pretrained on benign L3/L4 metadata achieves PR-AUC 0.93 for zero-shot attack detection via perplexity, outperforming LSTM baselines.