5 papers · 1 filter
High-Performance Reinforcement-Learned BP Decoding of Quantum LDPC Codes
Mohsen Moradi, Vahid Nourozi, Taejoon Kim +2
Belief-propagation (BP) decoding is attractive for quantum low-density parity-check (QLDPC) codes because it uses local message passing on sparse Tanner graphs. However, convention…
Learning to Decode Quantum LDPC Codes via Cluster-Based Sequential Belief Propagation
Mohsen Moradi, Taejoon Kim, Rémi A. Chou +1
Belief-propagation (BP) decoding for quantum low-density parity-check (QLDPC) codes is attractive due to its low complexity, but its performance is often limited by short cycles, d…
Learning-Based List Sequential Belief Propagation Decoding of Quantum LDPC Codes
Mohsen Moradi, Taejoon Kim, Remi A. Chou
Quantum low-density parity-check (QLDPC) codes are strong candidates for fault-tolerant quantum computation, but efficient decoding remains a major challenge due to short cycles, d…
Helper-Assisted Coding for Gaussian Wiretap Channels: Deep Learning Meets PhySec
Vidhi Rana, Remi A. Chou, Taejoon Kim
Consider the Gaussian wiretap channel, where a transmitter wishes to send a confidential message to a legitimate receiver in the presence of an eavesdropper. It is well known that…
Sequential Interval Passing for Compressed Sensing
Salman Habib, Remi Chou, Taejoon Kim
The reconstruction of sparse signals from a limited set of measurements poses a significant challenge as it necessitates a solution to an underdetermined system of linear equations…