Author

Dae-Young Yun

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Preprint Aug 2026

Logical Neural Belief Propagation for Linear-Complexity Decoding of Surface Codes

Quantum error correction (QEC) requires accurate and efficient decoders, yet belief propagation (BP), despite its linear decoding complexity, often provides insufficient logical accuracy on surface codes. We propose Logical Neural Belief Propagation (L-NBP), a BP-based neural decoder that redirects the decoding objecti...

Heeyoul Kwak, Seong-Joon Park, Dae-Young Yun et al. · 0 citations

#machine learning Preprint Sep 2026

ZeroCode: On-demand Error-Correcting Code Construction from the Zero Matrix via Reinforcement Learning

ZeroCode addresses diverse code-design requirements within a unified framework, providing solutions with optimized decoding performance under given constraints, and offers trade-offs between decoding performance and complexity without retraining.

Ju-Hyeong Lee, Yongjune Kim, Sang-Hyo Kim et al. · 0 citations

#machine learning Preprint Sep 2026

WeaveMark: Robust and Scalable Multi-bit LLM Watermarking via Coded Payload Spreading

WeaveMark, a robust and scalable multi-bit LLM watermarking scheme based on coded payload spreading, improves payload capacity through multi-bit-per-token spreading (weaving), improving extraction accuracy through soft-decision error-correcting codes, and preserving text quality through unbiased multilayer reweighting.

Gang-Hyun Park, Ju-Hyeong Lee, Heeyoul Kwak et al. · 0 citations