A backpropagation algorithm, or backward propagation of errors, is an algorithm that's used to help train neural network models. The algorithm adjusts the network's weights to minimize any gaps -- ...
Two researchers at Université de Sherbrooke, in Canada, have recently developed and trained neural belief-propagation (BP) decoders for quantum low-density parity-check (LDPC) codes. Their study, ...
Error-correcting codes form the backbone of reliable digital communication by introducing structured redundancy to transmitted data, enabling the detection and correction of errors induced by noise, ...