Neural Network Decoder

Neural network decoders are increasingly used to improve the performance and efficiency of decoding processes in various applications, from error correction codes in communication systems to quantum computing and even video compression. Current research focuses on developing novel architectures, such as transformers and graph neural networks, to enhance decoding accuracy and reduce computational complexity, often incorporating techniques like message passing and attention mechanisms. These advancements have significant implications for improving data reliability in communication and storage systems, accelerating video processing on mobile devices, and advancing the capabilities of quantum computing.