quant-ph · 2026-07-27 · No. 66

Quantum Physics, 2026-07-27.

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 Spectral Model: Data Reuploading with Input-Conditioned Frequency Support

    Peiyong Wang, Udaya Parampalli, Casey R. Myers

    quant-ph · cs.AI · cs.LG

    A central design principle in modern machine learning and artificial intelligence is to align a model's inductive bias with the structure of its input data. For matrix-valued inputs, relevant matrix-level relationships can be characterised through spectral values and spectral subspaces; however, common coordinate-wise rotation-gate data-encoding unitaries used in most quantum machine learning models do not explicitly construct such a...

    arxiv.org/abs/2607.22516 · PDF

  2. 02

    Learning to Prepare Molecular Ground States with Transformer Models

    Alex Koziell-Pipe, Jasmine Brewer, Jem Guhit, Marwa H. Farag, Kripa Panchagnula, Gabriel Laude, Fabian Finger, Carlo...

    quant-ph · cs.AI

    Quantum state preparation is a key component of many quantum algorithms. Performing this step efficiently is essential for realizing practical quantum advantage in quantum chemistry applications. Iterative algorithms like ADAPT-VQE can produce shallow ground-state preparation circuits, but become computationally prohibitive for the larger molecules relevant to materials science and pharmaceutical development. Here, we introduce ADAPT-GQE, a...

    arxiv.org/abs/2607.22468 · PDF

  3. 03

    QC-PHAST Search: Classical--Quantum Query Benchmarks for Finite-Pool Rare-Regime Discovery

    Harsh Milind Tirhekar, Chandrajit Bajaj

    quant-ph · cs.ET · cs.LG

    Rare-regime discovery in parameterized dynamical systems is an active-search problem: find one verified parameter at which a scientifically defined qualitative threshold is crossed, even when acceptable candidates are rare, nonconvex, or fragmented. We introduce Quantum-Classical Phase-space and Stability-Threshold Search (QC-PHAST), an evidence-gated decision protocol and query-accounting framework for finite candidate libraries. A candidate...

    arxiv.org/abs/2607.21995 · PDF

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