quant-ph · 2026-08-08 · No. 78

Quantum Physics, 2026-08-08.

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

    Provably Efficient Self-Calibrating Quantum Fault Tolerance

    Weiyuan Gong, Hong-Ye Hu

    quant-ph · cs.LG

    Quantum error correction protects logical information only when every physical operation remains below the fault-tolerance threshold, a condition that must be maintained continuously rather than only at the initial calibration. In practice, however, analog control parameters inevitably drift because of environmental fluctuations. As future fault-tolerant quantum computations are expected to run for days or even months, interrupting...

    arxiv.org/abs/2608.05686 · PDF

  2. 02

    How Much Reconstruction Does Quantum Machine Learning Need? Late Fusion of Independently Trained Quantum Subcircuits

    Prabhjot Singh, Adel N. Toosi, Rajkumar Buyya

    quant-ph · cs.DC · cs.LG

    Circuit cutting lets a large quantum neural network (QNN) run as independent subcircuits on small devices, but rebuilding its outputs by reconstruction carries a classical sampling overhead exponential in the number of cuts - the dominant runtime cost in prior work. We ask whether, for machine-learning tasks, this step is necessary, and replace it with late fusion: each subcircuit is trained and measured independently, and a small classical...

    arxiv.org/abs/2608.05595 · PDF

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