Concatenating quantum Reed-Solomon outer codes over the gross code using Galois qudits reaches teraquop regime at 10^{-3} physical noise with lower overhead than prior two-gross-code constructions.
Scalable Neural Decoders for Practical Fault-Tolerant Quantum Computation
5 Pith papers cite this work. Polarity classification is still indexing.
abstract
Quantum error correction (QEC) is essential for scalable quantum computing. However, it requires classical decoders that are fast and accurate enough to keep pace with quantum hardware. While quantum low-density parity-check codes have recently emerged as a promising route to efficient fault tolerance, current decoding algorithms do not allow one to realize the full potential of these codes in practical settings. Here, we introduce a convolutional neural network decoder that exploits the geometric structure of QEC codes, and use it to probe a novel "waterfall" regime of error suppression, demonstrating that the logical error rates required for large-scale fault-tolerant algorithms are attainable with modest code sizes at current physical error rates, and with latencies within the real-time budgets of several leading hardware platforms. For example, for the $[144, 12, 12]$ Gross code, the decoder achieves logical error rates up to $\sim 17$x below existing decoders - reaching logical error rates $\sim 10^{-10}$ at physical error $p=0.1\%$ - with 3-5 orders of magnitude higher throughput. This decoder also produces well-calibrated confidence estimates that can significantly reduce the time overhead of repeat-until-success protocols. Taken together, these results suggest that the space-time costs associated with fault-tolerant quantum computation may be significantly lower than previously anticipated.
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quant-ph 5years
2026 5roles
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background 1representative citing papers
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.
Neutral-atom system delivers state-of-the-art CZ gate fidelity of 99.854% (99.941% postselected) and demonstrates coherent rearrangement for nonlocal quantum circuits.
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 benchmarking framework for hybrid quantum error correction shows belief propagation reduces weighted correction volume by 48-57% compared to MWPM-family decoders while preserving input sparsity.
citing papers explorer
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Concatenating Algebraic Codes over High-Rate Quantum LDPC Codes
Concatenating quantum Reed-Solomon outer codes over the gross code using Galois qudits reaches teraquop regime at 10^{-3} physical noise with lower overhead than prior two-gross-code constructions.
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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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High-fidelity entangling gates and nonlocal circuits with neutral atoms
Neutral-atom system delivers state-of-the-art CZ gate fidelity of 99.854% (99.941% postselected) and demonstrates coherent rearrangement for nonlocal quantum circuits.
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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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A Unified Hardware-to-Decoder Architecture for Hybrid Continuous-Variable and Discrete-Variable Quantum Error Correction in LiDMaS+
A benchmarking framework for hybrid quantum error correction shows belief propagation reduces weighted correction volume by 48-57% compared to MWPM-family decoders while preserving input sparsity.