Efficient Syndrome Decoder for Heavy Hexagonal QECC via Machine Learning
Efficient Syndrome Decoder for Heavy Hexagonal QECC via Machine Learning
Error syndromes for heavy hexagonal code and other topological codes such as surface code have typically been decoded by using Minimum Weight Perfect Matching– (MWPM) based methods. Recent advances have shown that topological codes can be efficiently decoded by deploying machine learning (ML) techniques, in particular with neural networks. In …