Fast and accurate neural triage decoding of ultra-high-rate quantum LDPC codes

The paper introduces neural triage decoding, a new framework that uses syndrome consistency to adaptively allocate neural computation for high-rate quantum LDPC codes. By combining a local neural message-passing network with iterative refinement and a rare diversification stage, the Triage decoder achieves state‑of‑the‑art accuracy while reducing decoding latency by one to two orders of magnitude. The approach is validated on ultra‑high‑rate qLDPC codes such as lifted‑product and Kasai codes, and demonstrates robustness to mismatched error priors.

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