The paper introduces neural triage decoding, a new framework for high‑rate quantum LDPC codes that adaptively uses neural message‑passing to predict error corrections, followed by iterative refinement and a rare diversification step. It demonstrates that the Triage decoder can handle ultra‑high‑rate codes encoding hundreds of logical qubits, achieving near‑optimal accuracy while reducing decoding latency by one to two orders of magnitude compared to existing decoders. The approach is grounded in a rigorous analysis of bitwise marginal decoding and shows robustness to mismatched error priors.
By Hong-Ye Hu, Zhenlai Wang, Binzhao Luo, Tao Xiang, Chen Zhao
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.
arXiv:2510.11593v3 Announce Type: replace-cross
Abstract: For reliable large-scale quantum computation, quantum error correction (QEC) is essential to protect logical information distributed across m...
By Seong-Joon Park, Hee-Youl Kwak, Yongjune Kim
arXiv:2607. 28422v1 Announce Type: new Abstract: Fault-tolerant quantum computing (FTQC) relies on quantum error correction to suppress physical errors and preserve logical information at scale.
By Ran Miao, Rui Luo, Xiaohan Shan, Xiaoming Sun
The paper introduces a new objective function for designing quantum error correction codes that maximizes the distinguishability of quantum states after a noise channel. This approach, called variational quantum error correction (VarQEC), uses a distinguishability loss function as a machine learning objective to discover encoding circuits tailored to specific noise characteristics. The authors demonstrate that VarQEC produces resource‑efficient codes that outperform standard codes and provide proof‑of‑concept experiments on IBM and IQM hardware.
By Nico Meyer, Christopher Mutschler, Andreas Maier, Daniel D. Scherer
arXiv:2607. 05814v1 Announce Type: cross Abstract: Real-time decoding is a major bottleneck in scaling quantum error correction (QEC) from noisy intermediate-scale quantum (NISQ) devices to fault-tolerant quantum computing.
By Sumit Chongder