Univariate bicycle codes give an explicit basis for logical operators and distance upper bounds in a restricted class of quantum LDPC codes while matching the performance of less constrained generalized and bivariate bicycle codes in simulations.
High-threshold and low-overhead fault-tolerant quantum memory,
6 Pith papers cite this work. Polarity classification is still indexing.
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2026 6representative citing papers
MBBP-LD creates multiple cycle-free subtree decompositions of the Tanner graph to run parallel BP decodings on quantum LDPC codes, cutting error rates by up to 30% versus BP-OSD and 20% versus BPGD on tested bivariate bicycle codes with fewer total iterations.
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.
Edge-coloring eliminates automorphisms in low-weight stabilizer subgraphs of generalized bicycle codes, enabling improved anisotropic min-sum decoding.
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.
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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Univariate Bicycle Quantum LDPC Codes: Explicit Logical Structure and Distance Bounds
Univariate bicycle codes give an explicit basis for logical operators and distance upper bounds in a restricted class of quantum LDPC codes while matching the performance of less constrained generalized and bivariate bicycle codes in simulations.
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Multiple-Bases Belief Propagation List Decoding for Quantum LDPC Codes
MBBP-LD creates multiple cycle-free subtree decompositions of the Tanner graph to run parallel BP decodings on quantum LDPC codes, cutting error rates by up to 30% versus BP-OSD and 20% versus BPGD on tested bivariate bicycle codes with fewer total iterations.
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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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Edge-Based Anisotropic Decoding for Generalized Bicycle Codes
Edge-coloring eliminates automorphisms in low-weight stabilizer subgraphs of generalized bicycle codes, enabling improved anisotropic min-sum decoding.
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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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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.