quant-ph · 2026-06-27 · No. 36

Quantum Physics, 2026-06-27.

2 new papers in quant-ph. Titles, authors, abstracts. Links to arXiv. Want this in your inbox every morning? Subscribe →

01 — The papers

2 entries
  1. 01

    Efficient foundation decoders for fault-tolerant quantum computing

    Ge Yan, Shanchuan Li, Shiyi Xiao, Pengyue Ma, Hanyan Cao, Feng Pan, Yuxuan Du

    quant-ph · cs.AI · cs.LG

    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. However, their construction often faces a steep scaling barrier, as larger code distances rapidly amplify the cost of syndrome generation and neural optimization. To address this bottleneck, here we devise neural transfer unification (NTU), a unified framework...

    arxiv.org/abs/2606.27119 · PDF

  2. 02

    Scalable Message-Passing Quantum Graph Neural Networks in the Weisfeiler-Leman Hierarchy

    Snehal Raj, Brian Coyle, Léo Monbroussou, André J. Ferreira-Martins, Renato M. S. Farias, Elham Kashefi

    quant-ph · cs.LG

    Graphs provide a natural language for relational data in chemistry, biology and optimisation. Graph neural networks (GNNs) have driven much of the recent progress in learning from such data through message passing, a single primitive that generalises convolution and attention. Quantum counterparts have been proposed, but with limited connection to message passing and few guarantees on performance or scalability. More broadly, the trainability...

    arxiv.org/abs/2606.26873 · PDF

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