Multipartite steering verification with imprecise measurements

Quantum Physics arXiv:2511.07708 (quant-ph) [Submitted on 11 Nov 2025] Title:Multipartite steering verification with imprecise measurements Authors:Zeyang Lu, Chan Li, Gang Wang, Zhu Cao View a PDF of the paper titled Multipartite steering verification with imprecise measurements, by Zeyang Lu and 3 other authors View PDF HTML (experimental) Abstract:Quantum steering is a fundamental quantum correlation that plays a pivotal role in quantum technologies, but its verification crucially relies on precise measurements -- an assumption often undermined by practical imperfections. Here, we investigate multipartite steering verification under imprecise measurements and develop a quantitative method that effectively eliminates false positives induced by measurement imprecision. A comparison with a device-independent approach demonstrates that our method accurately delineates the scope of valid verification. In a special case, our method also enables the verification of multipartite entanglement under nonideal conditions. These results substantially enhance the robustness of multipartite steering and entanglement verification against measurement imprecision, thereby promoting their applicability in realistic quantum technologies. Comments: Subjects: Quantum Physics (quant-ph) Cite as: arXiv:2511.07708 [quant-ph] (or arXiv:2511.07708v1 [quant-ph] for this version) https://doi.org/10.48550/arXiv.2511.07708 Focus to learn more arXiv-issued DOI via DataCite Journal reference: Physical Review A 112, 042435 (2025) Related DOI: https://doi.org/10.1103/v4yv-zvsc Focus to learn more DOI(s) linking to related resources Submission history From: Zhu Cao [view email] [v1] Tue, 11 Nov 2025 00:09:22 UTC (911 KB) Full-text links: Access Paper: View a PDF of the paper titled Multipartite steering verification with imprecise measurements, by Zeyang Lu and 3 other authorsView PDFHTML (experimental)TeX Source view license Current browse context: quant-ph new | recent | 2025-11 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?)