Belief-propagation (BP) decoding for quantum low-density parity-check (QLDPC) codes is attractive due to its low complexity and low latency, but it is often limited by short cycles, degeneracy, and convergence failures. Reinforcement-learning-based sequential BP decoding (RL-S) improves BP by learning a syndrome-depend...
Mohsen Moradi, Taejoon Kim, Re-Mi A. Chou· 0 citations
Quantum low-density parity-check (QLDPC) codes are promising candidates for low-overhead fault-tolerant quantum computation, but their practical use requires fast, low-complexity, and reliable decoders. Belief propagation (BP) is attractive because of its local message-passing structure, yet standard flooding BP often...
Mohsen Moradi, Taejoon Kim, Re-Mi A. Chou· 0 citations
An online detection framework is introduced that combines a graph attention network (GAT) for temporal-spectral representation learning with Dirichlet process (DP)-means clustering and an inference-driven reinforcement learning (RL) jammer is proposed as an adversarial benchmark.
Ghilas Aissou, Re-Mi A. Chou, Taejoon Kim· 0 citations
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