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
arXiv:2607. 10707v1 Announce Type: cross Abstract: We propose a unified meta-decoding framework for quantum error correction that learns syndrome-to-recovery mappings across multiple stabilizer codes and noise settings, without requiring separate decoders for each configuration.
By Prashant Kumar Choudhary, Nouhaila Innan, Muhammad Shafique, Rajeev Singh
arXiv:2606. 27119v1 Announce Type: cross Abstract: Foundation decoders, a class of high-capacity neural decoders, are leading candidates for fault-tolerant quantum computing, with accurate and efficient decoding at large code distances.
By Ge Yan, Shanchuan Li, Shiyi Xiao, Pengyue Ma, Hanyan Cao, Feng Pan, Yuxuan Du
arXiv:2601. 00242v2 Announce Type: replace-cross Abstract: Realizing the full potential of quantum computation requires Quantum Error Correction (QEC).
By Yotam Peled, David Zenati, Eliya Nachmani
The study benchmarks six quantum error‑correction decoders on the Willow processor, the first device operating below the surface‑code threshold, using a hierarchy of increasingly realistic noise models. By evaluating real hardware data across multiple code distances, bases, and round counts, the authors find that rank agreement with hardware emerges only when each operation type is assigned its own error rate. They also independently test NVIDIA’s Ising pre‑decoder, showing it offers no accuracy‑latency advantage over other decoders in most evaluations, and release the full evaluation pipeline and data for future comparisons.
By Shay J. Manor, Leila S. Erhili, Yassine Jebbouri
arXiv:2607. 19563v1 Announce Type: cross Abstract: Quantum error correction can be enhanced by post-selecting out runs that are likely to produce a logical failure, but the most accurate measures for that require costly decoder-level information.
By Tobias Haug, Askery Canabarro, Leandro Aolita