A transformer-based decoder trained on local window labels learns to output per-window logical corrections that can be XORed across sliding windows, enabling parallel decoding with accuracy slightly above belief matching at distances 3 to 7.
A sat scalpel for lattice surgery: Representation and synthesis of subroutines for surface-code fault-tolerant quantum computing
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Learning Neural Decoding with Parallelism and Self-Coordination for Quantum Error Correction
A transformer-based decoder trained on local window labels learns to output per-window logical corrections that can be XORed across sliding windows, enabling parallel decoding with accuracy slightly above belief matching at distances 3 to 7.