6 papers
Spectral-Aligned Pruning for Universal Error-Correcting Code Transformers
Sanghyeon Cho, Taewoo Park, Seong-Joon Park +4
Universal channel decoders based on transformers-such as the Foundation Error Correction Code Transformer (FECCT)-achieve competitive decoding performance across diverse code famil…
Evolutionary BP+OSD Decoding for Low-Latency Quantum Error Correction
Hee-Youl Kwak, Seong-Joon Park, Hyunwoo Jung +2
Quantum error correction (QEC) for fault-tolerant quantum computing requires a balanced decoding solution that offers high performance, low complexity, and low latency. However, th…
Qubit-centric Transformer for Surface Code Decoding
Seong-Joon Park, Hee-Youl Kwak, Yongjune Kim
For reliable large-scale quantum computation, quantum error correction (QEC) is essential to protect logical information distributed across multiple physical qubits. Taking advanta…
Lowering the Error Floor of Error Correction Code Transformer
Taewoo Park, Seong-Joon Park, Hee-Youl Kwak +2
With the success of transformer architectures across diverse applications, the error correction code transformer (ECCT) has gained significant attention for its superior decoding p…
Cross-Attention Message-Passing Transformers for Code-Agnostic Decoding in 6G Networks
Seong-Joon Park, Hee-Youl Kwak, Sang-Hyo Kim +2
Channel coding for 6G networks is expected to support a wide range of requirements arising from heterogeneous communication scenarios. These demands challenge traditional code-spec…
CrossMPT: Cross-attention Message-Passing Transformer for Error Correcting Codes
Seong-Joon Park, Hee-Youl Kwak, Sang-Hyo Kim +2
Error correcting codes (ECCs) are indispensable for reliable transmission in communication systems. The recent advancements in deep learning have catalyzed the exploration of ECC d…