Comment on "Beyond-classical computation in quantum simulation"

Quantum Physics arXiv:2607.08811 (quant-ph) [Submitted on 9 Jul 2026] Title:Comment on "Beyond-classical computation in quantum simulation" Authors:Wladislaw Krinitsin, Nikita Alert, Matteo Rizzi, Markus Schmitt View a PDF of the paper titled Comment on "Beyond-classical computation in quantum simulation", by Wladislaw Krinitsin and 3 other authors View PDF HTML (experimental) Abstract:A recent article [Science 388, 199-204 (2025)] investigates the applicability of numerical methods and a quantum processor unit in simulating a quantum annealing protocol. One of the findings indicates that Neural Quantum States - a versatile variational ansatz for the many-body wave function based on artificial neural networks - fail to reach the same accuracy as the quantum processor. In this comment we revisit these concerns, demonstrating that NQS can provide competitive results in some of the cases when accounting for the Monte-Carlo noise and large autocorrelation times between samples obtained from the final state. Comments: Subjects: Quantum Physics (quant-ph) Cite as: arXiv:2607.08811 [quant-ph] (or arXiv:2607.08811v1 [quant-ph] for this version) https://doi.org/10.48550/arXiv.2607.08811 Focus to learn more arXiv-issued DOI via DataCite Submission history From: Wladislaw Krinitsin [view email] [v1] Thu, 9 Jul 2026 17:46:47 UTC (97 KB) Full-text links: Access Paper: View a PDF of the paper titled Comment on "Beyond-classical computation in quantum simulation", by Wladislaw Krinitsin and 3 other authorsView PDFHTML (experimental)TeX Source view license Current browse context: quant-ph new | recent | 2026-07 References & Citations INSPIRE HEP NASA ADSGoogle Scholar Semantic Scholar export BibTeX citation Loading... BibTeX formatted citation × loading... Data provided by: Bookmark Bibliographic Tools Bibliographic and Citation Tools Bibliographic Explorer Toggle Bibliographic Explorer (What is the Explorer?) Connected Papers Toggle Connected Papers (What is Connected Papers?) Litmaps Toggle Litmaps (What is Litmaps?) scite.ai Toggle scite Smart Citations (What are Smart Citations?) Code, Data, Media Code, Data and Media Associated with this Article alphaXiv Toggle alphaXiv (What is alphaXiv?) Links to Code Toggle CatalyzeX Code Finder for Papers (What is CatalyzeX?) DagsHub Toggle DagsHub (What is DagsHub?) GotitPub Toggle Gotit.pub (What is GotitPub?) Huggingface Toggle Hugging Face (What is Huggingface?) ScienceCast Toggle ScienceCast (What is ScienceCast?) Demos Demos Replicate Toggle Replicate (What is Replicate?) Spaces Toggle Hugging Face Spaces (What is Spaces?) Spaces Toggle TXYZ.AI (What is TXYZ.AI?) Related Papers Recommenders and Search Tools Link to Influence Flower Influence Flower (What are Influence Flowers?) Core recommender toggle CORE Recommender (What is CORE?) Author Venue Institution Topic About arXivLabs arXivLabs: experimental projects with community collaborators arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs. Which authors of this paper are endorsers? | Disable MathJax (What is MathJax?)