Preparing Quantum Backflow States by Large Momentum Transfer
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Quantum Physics arXiv:2602.12767 (quant-ph) [Submitted on 13 Feb 2026] Title:Preparing Quantum Backflow States by Large Momentum Transfer Authors:Yuchong Chen, Yijun Tang View a PDF of the paper titled Preparing Quantum Backflow States by Large Momentum Transfer, by Yuchong Chen and 1 other authors View PDF HTML (experimental) Abstract:A quantum backflow state refers to a quantum state exhibiting negative probability density flux albeit a completely positive momentum spectrum. Extending earlier work that uses single laser pulse to prepare quantum backflow state in an ultracold atomic BEC [1], we theoretical investigated flexible quantum backflow state preparation via large momentum transfer technique, which to our knowledge, has not been studied before. By combining atom interferometry theory and non-interacting BEC wave function, we solve for the evolution of a BEC wavepacket under atom interferometry sequence. Simulation results show a highly tunable backflow flux and critical density under our scheme, and can be manipulated to go beyond existing numbers. Subjects: Quantum Physics (quant-ph) Cite as: arXiv:2602.12767 [quant-ph] (or arXiv:2602.12767v1 [quant-ph] for this version) https://doi.org/10.48550/arXiv.2602.12767 Focus to learn more arXiv-issued DOI via DataCite (pending registration) Submission history From: Yijun Tang [view email] [v1] Fri, 13 Feb 2026 09:51:45 UTC (1,398 KB) Full-text links: Access Paper: View a PDF of the paper titled Preparing Quantum Backflow States by Large Momentum Transfer, by Yuchong Chen and 1 other authorsView PDFHTML (experimental)TeX Source view license Current browse context: quant-ph new | recent | 2026-02 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?) Links to Code Toggle Papers with Code (What is Papers with Code?) 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?)