quant-ph · 2026-06-11 · No. 20

Quantum Physics, 2026-06-11.

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

    Quantum Occam Learning: Sample-Supported Expressibility for Circuit-Based Quantum Learning

    Jeongho Bang, Kyoungho Cho, Jeongwoo Jae

    quant-ph · cs.LG

    A central principle in quantum machine learning is that an ansatz should be expressive enough to represent the quantum data of interest. Yet, the expressibility is statistically meaningful only insofar as it can be learned from finitely many copies of an unknown quantum state. In this work, we develop an information-theoretic Occam theory for quantum data generated by finite-size quantum circuits. For the class $S_{n,G}$ of $n$-qubit pure...

    arxiv.org/abs/2606.12211 · PDF

  2. 02

    Sparsified Kolmogorov-Arnold Networks for Interpretable Quantum State Tomography

    Xinge Wu, Huaxin Wang, Jiajun Liu, Ruiqing He, Jiandong Shang, Hengliang Guo, Qiang Chen

    quant-ph · cs.AI · cs.LG

    Machine-learning approaches to quantum state tomography can achieve high reconstruction fidelity, but the physical structure used by the trained model often remains implicit. Here we ask whether a sparsified Kolmogorov-Arnold Network (KAN) can be used not only as a regressor, but also as an inspectable reconstruction rule whose internal organization can be checked against known Pauli structure. We study a controlled three-qubit GHZ-family...

    arxiv.org/abs/2606.11814 · PDF

  3. 03

    Higher-Order Token Interactions via Quantum Attention

    Jian Xu, Chao Li, Delu Zeng, John Paisley, Qibin Zhao

    quant-ph · cs.LG

    Standard dot-product self-attention computes, in a single layer, only pairwise (order-2) interactions between tokens; representing a generic order-$k$ interaction is known to require either super-quadratic resources in one layer or composition across depth. We introduce \textbf{Quantum Higher-Order Attention (QHA)}, a shallow, hardware-realizable quantum attention head that, via data re-uploading and an all-to-all non-Clifford entangler,...

    arxiv.org/abs/2606.11673 · PDF

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