quant-ph · 2026-09-01 · No. 102

Quantum Physics, 2026-09-01.

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

01 — The papers

1 entries
  1. 01

    "Train classical, deploy quantum" requires rethinking generalization

    Snehal Raj, Natansh Mathur, Alejandro Perdomo-Ortiz

    quant-ph · cs.LG

    Generative models have become central across science and industry, from image and text synthesis to the design of molecules and materials. Quantum generative models are considered one of the most promising applications for quantum computers, since a quantum circuit naturally produces samples from the distribution it encodes, and for suitable circuits that distribution is believed to be hard for any classical computer to reproduce. A leading...

    arxiv.org/abs/2608.31117 · PDF

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