Stochastic magic-state production in fault-tolerant quantum computing inflates execution time but reduces peak resource demand, allowing stochastic-aware factory allocation to cut space-time volume by up to 27% and factories by up to 30% versus deterministic optima.
Magic-state functional units: Mapping and scheduling multi-level distillation circuits for fault-tolerant quantum architectures
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A two-level decoder scheduling framework reduces classical processing requirements for quantum error correction by 10-40% on fault-tolerant benchmarks by managing bursty workloads as shared resources.
A two-stage deep learning pipeline (HT-LCNN detector + VGG6 classifier) trained on augmented real and simulated data detects streaks in OmegaCAM frames with F1 > 0.95 on test sets and 0.99 precision on real 2023 data, uncovering 25,335 streaks including >20% uncatalogued objects across 1.2 million f
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Price and Payoff: Non-Determinism in Fault Tolerant Quantum Computation
Stochastic magic-state production in fault-tolerant quantum computing inflates execution time but reduces peak resource demand, allowing stochastic-aware factory allocation to cut space-time volume by up to 27% and factories by up to 30% versus deterministic optima.
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Streak detection in the VST/OmegaCAM archive using deep learning
A two-stage deep learning pipeline (HT-LCNN detector + VGG6 classifier) trained on augmented real and simulated data detects streaks in OmegaCAM frames with F1 > 0.95 on test sets and 0.99 precision on real 2023 data, uncovering 25,335 streaks including >20% uncatalogued objects across 1.2 million f