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Approximating optimal decoding of quantum LDPC codes with narrow frontiers

Leverrier 2026-06-18
Anthony LeverrierRüdiger Urbanke

We introduce the Frontier decoder, a pruned dynamic-programming decoder for sparse quantum decoding problems. Frontier processes error variables in a chosen order, merges prefixes with the same residual syndrome and logical label, and approximates logical-coset posterior masses by retaining only a narrow scored frontier. Without pruning, the recursion is exact ordered inference with exponential co

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Key Contributions

  • We introduce the Frontier decoder, a pruned dynamic-programming decoder for sparse quantum decoding problems.
  • Frontier processes error variables in a chosen order, merges prefixes with the same residual syndrome and logical label, and approximates logical-coset posterior masses by retaining only a narrow scored frontier.
  • Without pruning, the recursion is exact ordered inference with exponential co

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