LEAD projects quantum Tanner codes onto local vertex-neighborhood subcodes for parallel error estimation, then uses topological symmetry and soft-information regularization to enforce global consistency, yielding lower logical error rates and reduced latency than standard decoders.
Generalizing quantum tanner codes
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LEAD: A Local Ensemble-Assisted Parallel Decoding Framework for Quantum Tanner Codes
LEAD projects quantum Tanner codes onto local vertex-neighborhood subcodes for parallel error estimation, then uses topological symmetry and soft-information regularization to enforce global consistency, yielding lower logical error rates and reduced latency than standard decoders.