An iterative reweighting decoder for surface codes uses X-Z error correlations from circuit-level noise, improving logical error rates and raising the threshold from about 1% to 1.16%.
[ 54] showed that under the code-capacity noise model, the weight of Pauli correction does not in- crease across IRMWPM iterations
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Enhancing Fault-Tolerant Surface Code Decoding with Iterative Lattice Reweighting
An iterative reweighting decoder for surface codes uses X-Z error correlations from circuit-level noise, improving logical error rates and raising the threshold from about 1% to 1.16%.