Catalytic Quantum Error Correction recovers known target states from noisy copies with F > 0.96 using only eight copies by preserving coherent modes and applying a CPMG-Clifford-swap-test pipeline, bypassing magnitude thresholds of standard QEC.
Title resolution pending
3 Pith papers cite this work. Polarity classification is still indexing.
fields
quant-ph 3years
2026 3representative citing papers
Click timing in a gated single-photon detector shifts strongly with pulse energy, enabling attacks that toggle detections between adjacent time slots in QKD.
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.
citing papers explorer
-
Catalytic Quantum Error Correction: Theory, Efficient Catalyst Preparation, and Numerical Benchmarks
Catalytic Quantum Error Correction recovers known target states from noisy copies with F > 0.96 using only eight copies by preserving coherent modes and applying a CPMG-Clifford-swap-test pipeline, bypassing magnitude thresholds of standard QEC.
-
Energy-time attack on detectors in quantum key distribution
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
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.