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Logical Neural Belief Propagation for Linear-Complexity Decoding of Surface Codes
Quantum error correction (QEC) requires decoders that achieve high logical accuracy while scaling efficiently with the code length. Belief propagation (BP) is attractive for its linear decoding complexity, but conventional BP decoders often fail to reach sufficient logical accuracy on surface codes.
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