Optimal adaptation of surface-code decoders to local noise

This is a comprehensive study on how knowledge of the physical noise model affects the performance of surface-code decoders in quantum error correction. While noise generally requires many parameters to describe completely, the author finds that to achieve near-optimal decoding, it is only necessary to adapt the decoder to a small number of critical parameters.