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Getting large-scale quantum neural networks ready for quantum hardware

quant-ph · 2026-04-27 · unverdicted · novelty 5.0

Physics-informed quantum neural networks trained on noisy measurements can construct nontrivial decision boundaries to classify quantum states via order parameters and are suited for NISQ hardware due to links with Markovian open many-body systems.

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  • Energy-time attack on detectors in quantum key distribution quant-ph · 2026-03-08 · unverdicted · none · ref 4

    Click timing in a gated single-photon detector shifts strongly with pulse energy, enabling attacks that toggle detections between adjacent time slots in QKD.

  • Getting large-scale quantum neural networks ready for quantum hardware quant-ph · 2026-04-27 · unverdicted · none · ref 13

    Physics-informed quantum neural networks trained on noisy measurements can construct nontrivial decision boundaries to classify quantum states via order parameters and are suited for NISQ hardware due to links with Markovian open many-body systems.