Adaptive decoder uses internal disagreement between belief propagation and ordered-statistics outputs to identify hard decoding instances, reducing classical costs 3.6× while recovering 85-92% of accuracy gains on quantum LDPC codes.

Adaptive decoder uses internal disagreement between belief propagation and ordered-statistics outputs to identify hard decoding instances, reducing classical costs 3.6× while recovering 85-92% of accuracy gains on quantum LDPC codes.