The researchers developed MBP (Memory-effect Belief Propagation), an enhanced version of traditional belief propagation that incorporates memory effects and neural network-like inhibition functionality, enabling efficient decoding of highly degenerate quantum error-correcting codes with significantly improved performance, achieving error thresholds of 16% and 17.5% for surface and toric codes respectively.