quant-ph · 2026-09-24 · No. 123

Quantum Physics, 2026-09-24.

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

    Repairability of Inexact Solvers in Recursive State Estimation with Machine Learning

    Yanjun Ji, Dennis Willsch, Orkun Şensebat, Priyanka Arkalgud Ganeshamurthy, Zhi Pei, M. Sahnawaz Alam, Ivelina...

    quant-ph · cs.LG

    Recursive state estimation often executes approximate numerical solutions inside a feedback loop, where highly accurate local steps do not guarantee better overall results. For a fixed linear Kalman model, we characterize when a correction within a prescribed subspace and norm budget can meet a local admissibility tolerance, and how the defects actually executed affect the finite-horizon covariance response. Centering each defect on the exact...

    arxiv.org/abs/2609.28425 · PDF

  2. 02

    Quantum score matching with applications to learning thermal states

    Yulong Dong, Jiaqi Leng

    quant-ph · cs.LG

    Score matching has driven major advances in classical generative learning by enabling models to learn from data without evaluating intractable normalization constants, or partition functions. Yet, extending this principle to quantum learning requires rethinking its foundations, as quantum states are described by noncommuting density operators rather than scalar probabilities. The noncommutativity creates fundamental challenges not only in...

    arxiv.org/abs/2609.28391 · PDF

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