Neural decoder for quantum LDPC codes achieves ~10^{-10} logical error at 0.1% physical error with 17x improvement and high throughput, enabling practical fault tolerance at modest code sizes.
arXiv preprint arXiv:2503.10988 , year=
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Forced-gap post-selection on bivariate bicycle codes and surgery gadgets improves logical error rates by a factor of more than 4 using Relay-BP decoding at fixed post-selection rate.
Sparse Mamba Decoder processes only active defects in surface code syndromes using a 13-feature representation and Mamba backbone for O(k) complexity, reporting speedups and accuracy gains over dense decoders.
FTPrimitiveBench is a new benchmark suite for testing surface-code logical primitives under Pauli-biased, measurement-biased, and spatially non-uniform noise models, revealing that noise structure interacts distinctly with each primitive and decoder.
A resource-reusing FPGA architecture for GARI-structured message-passing decoding of quantum LDPC codes with correlated errors achieves 596 ns average latency and 6x lower resource use than prior GARI hardware on a VCU19P device.
GreenPeas delivers a just-in-time GPU compiler for decoding hypergraphs that achieves >10x speedup on surface and bivariate bicycle codes, unlocking circuit-level decoding for adaptive quantum error correction.
A family of quantum LDPC codes with encoding rates exceeding 1/2 achieves logical error rates of 10^{-13} per round on atom arrays under 0.1% circuit noise using hierarchical decoding.
A new 2D signal-rule local decoder for the toric code achieves exponential logical error suppression below a threshold under phenomenological noise with data and measurement errors.
citing papers explorer
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Scalable Neural Decoders for Practical Fault-Tolerant Quantum Computation
Neural decoder for quantum LDPC codes achieves ~10^{-10} logical error at 0.1% physical error with 17x improvement and high throughput, enabling practical fault tolerance at modest code sizes.
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Forced Gap Post-Selection for Quantum LDPC Codes and their Operations
Forced-gap post-selection on bivariate bicycle codes and surgery gadgets improves logical error rates by a factor of more than 4 using Relay-BP decoding at fixed post-selection rate.
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Sparse Mamba Decoder for Quantum Error Correction: Efficient Defect-Centric Processing of Surface Code Syndromes
Sparse Mamba Decoder processes only active defects in surface code syndromes using a 13-feature representation and Mamba backbone for O(k) complexity, reporting speedups and accuracy gains over dense decoders.
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FTPrimitiveBench: A Benchmark Suite For Logical Computation Under Hardware-Motivated and Biased Noise Models
FTPrimitiveBench is a new benchmark suite for testing surface-code logical primitives under Pauli-biased, measurement-biased, and spatially non-uniform noise models, revealing that noise structure interacts distinctly with each primitive and decoder.
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A Scalable FPGA Architecture for Real-Time Decoding of Quantum LDPC Codes Using GARI
A resource-reusing FPGA architecture for GARI-structured message-passing decoding of quantum LDPC codes with correlated errors achieves 596 ns average latency and 6x lower resource use than prior GARI hardware on a VCU19P device.
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GreenPeas: Unlocking Adaptive Quantum Error Correction with Just-in-Time Decoding Hypergraphs
GreenPeas delivers a just-in-time GPU compiler for decoding hypergraphs that achieves >10x speedup on surface and bivariate bicycle codes, unlocking circuit-level decoding for adaptive quantum error correction.
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Towards Ultra-High-Rate Quantum Error Correction with Reconfigurable Atom Arrays
A family of quantum LDPC codes with encoding rates exceeding 1/2 achieves logical error rates of 10^{-13} per round on atom arrays under 0.1% circuit noise using hierarchical decoding.
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Local decoder for the toric code via signal exchange
A new 2D signal-rule local decoder for the toric code achieves exponential logical error suppression below a threshold under phenomenological noise with data and measurement errors.