Triage is an adaptive parallel window decoding scheduler that reduces average logical error rates by 52.6% compared to standard temporal parallelism while keeping stalls low under scarce classical resources.
Stim: a fast stabilizer circuit simulator
6 Pith papers cite this work. Polarity classification is still indexing.
6
Pith papers citing it
fields
quant-ph 6years
2026 6representative citing papers
SS-τ and AST scheduling policies for seam checks in distributed triangular color codes reduce remote-operation overhead and achieve lower logical error rates with fault-tolerant scaling in specific EGR regimes under circuit-level noise.
O3LS reduces space overhead by up to 46.7% and time overhead by up to 36% in lattice surgery while suppressing logical error rates by up to an order of magnitude compared with prior layout and scheduling approaches.
Confidence-gated neural decoding escalates only ~3–6% of rotated-surface-code syndromes to MWPM and raises end-to-end accuracy from 99.21% to 99.81% at d=7 under circuit-level depolarising noise.
Adaptive-window decoding that shrinks or expands based on decoder confidence cuts reaction-time overhead in quantum error correction without raising logical error rates.
citing papers explorer
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Triage: An Adaptive Parallel Window Decoding Scheduler for Real-time Fault-Tolerant Quantum Computation
Triage is an adaptive parallel window decoding scheduler that reduces average logical error rates by 52.6% compared to standard temporal parallelism while keeping stalls low under scarce classical resources.
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Boundary-Aware Stabilizer Scheduling for Distributed Quantum Error Correction
SS-τ and AST scheduling policies for seam checks in distributed triangular color codes reduce remote-operation overhead and achieve lower logical error rates with fault-tolerant scaling in specific EGR regimes under circuit-level noise.
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O3LS: Optimizing Lattice Surgery via Automatic Layout Searching and Loose Scheduling
O3LS reduces space overhead by up to 46.7% and time overhead by up to 36% in lattice surgery while suppressing logical error rates by up to an order of magnitude compared with prior layout and scheduling approaches.
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Latency-Constrained Hardware-Aware Quantum Error Correction Co-Design with Adaptive Confidence-Gated Neural Decoding for the Rotated Surface Code
Confidence-gated neural decoding escalates only ~3–6% of rotated-surface-code syndromes to MWPM and raises end-to-end accuracy from 99.21% to 99.81% at d=7 under circuit-level depolarising noise.
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ADaPT: Adaptive-window Decoding for Practical fault-Tolerance
Adaptive-window decoding that shrinks or expands based on decoder confidence cuts reaction-time overhead in quantum error correction without raising logical error rates.
- Realistic Simulation of Quantum Repeater with Encoding and Classical Error Correction