quant-ph · 2026-10-05 · No. 134

Quantum Physics, 2026-10-05.

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

01 — The papers

3 entries
  1. 01

    Generalization of Transformer-Based Neural Quantum States via In-Context Learning

    Zhen Qin, Qing Qu, Alfred O. Hero

    quant-ph · cs.LG

    Neural quantum states based on modern deep learning architectures have emerged as powerful representations for quantum many-body systems. In particular, Transformer-based neural quantum states provide expressive models capable of capturing long-range correlations, and their empirical generalization performance has recently been demonstrated. However, a theoretical understanding of their generalization behavior remains largely unexplored. In...

    arxiv.org/abs/2610.03463 · PDF

  2. 02

    Hamiltonian locality testing and certification do not achieve the Heisenberg limit

    Francisco Escudero Gutiérrez, Junseo Lee, Sebastian Zur

    quant-ph · cs.CC · cs.DS · cs.LG

    We establish lower bounds for Hamiltonian property testing with access to the time-evolution operator but not its inverse. Each experiment may query the time-evolution operator multiple times, and distances between Hamiltonians are measured in the normalized Frobenius norm. In this model, we show that testing whether a Hamiltonian is $k$-local or $\varepsilon$-far from every $k$-local Hamiltonian requires $Ω(1/\varepsilon^2)$ total evolution...

    arxiv.org/abs/2610.03205 · PDF

  3. 03

    Landscape-Dependent Performance of Photonic Quantum Solvers in QUBO Feature Selection for Financial Risk Detection

    Nirvik Sahoo, Paul Robert Griffin

    quant-ph · cs.LG · q-fin.RM

    Feature selection for imbalanced classification tasks such as credit card fraud and consumer default detection requires balancing predictive relevance, inter-feature redundancy, and computational feasibility. We benchmark three computing paradigms, classical branch-and-bound optimization (Gurobi), photonic entropy computing (QCI Dirac-3), and simulated photonic boson sampling (Piquasso), across thirteen feature-selection methods on two...

    arxiv.org/abs/2610.03161 · PDF

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