Abstract: A quantum decoder receives a syndrome from a quantum measurement circuit and performs various decoding operations for processing-efficient fault detection. The decoding operations include generating a decoding graph from the syndrome and growing a cluster around each one of multiple check nodes in the graph that correspond to a non-trivial value in the syndrome. Each cluster includes the check node corresponding to the non-trivial value and a set of neighboring nodes positioned within a distance of d edge-lengths from the check node. Following cluster growth, the decoder determines if, for each cluster, there exists a solution set internal to the cluster that fully explains the non-trivial syndrome bit for the cluster. If so, the decoder identifies and returns at least one solution set that fully explains the set of non-trivial bits in the syndrome.

Abstract: A quantum decoder receives a syndrome from a quantum measurement circuit and performs various decoding operations for processing-efficient fault detection. The decoding operations include generating a decoding graph from the syndrome and growing a cluster around each one of multiple check nodes in the graph that correspond to a non-trivial value in the syndrome. Each cluster includes the check node corresponding to the non-trivial value and a set of neighboring nodes positioned within a distance of d edge-lengths from the check node. Following cluster growth, the decoder determines if, for each cluster, there exists a solution set internal to the cluster that fully explains the non-trivial syndrome bit for the cluster. If so, the decoder identifies and returns at least one solution set that fully explains the set of non-trivial bits in the syndrome.