Sequential Semi-Device-Independent Quantum Randomness Certification
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Quantum Physics arXiv:2510.19445 (quant-ph) [Submitted on 22 Oct 2025] Title:Sequential Semi-Device-Independent Quantum Randomness Certification Authors:Carles Roch I Carceller, Hanwool Lee, Jonatan Bohr Brask, Kieran Flatt, Joonwoo Bae View a PDF of the paper titled Sequential Semi-Device-Independent Quantum Randomness Certification, by Carles Roch I Carceller and 3 other authors View PDF Abstract:Quantum measurements under realistic conditions reveal only partial information about a system. Yet, by performing sequential measurements on the same system, additional information can be accessed. We investigate this problem in the context of semi-device-independent randomness certification using sequential maximum confidence measurements. We develop a general framework and versatile numerical methods to bound the amount of certifiable randomness in such scenarios. We further introduce a technique to compute min-tradeoff functions via semidefinite programming duality, thus making the framework suitable for bounding the certifiable randomness against adaptive attacking strategies through entropy accumulation. Our results establish sufficient criteria showing that maximum confidence measurements enable the distribution and certification of randomness across a sequential measurement chain. Subjects: Quantum Physics (quant-ph) Cite as: arXiv:2510.19445 [quant-ph] (or arXiv:2510.19445v1 [quant-ph] for this version) https://doi.org/10.48550/arXiv.2510.19445 Focus to learn more arXiv-issued DOI via DataCite (pending registration) Submission history From: Carles Roch I Carceller [view email] [v1] Wed, 22 Oct 2025 10:17:32 UTC (409 KB) Full-text links: Access Paper: View a PDF of the paper titled Sequential Semi-Device-Independent Quantum Randomness Certification, by Carles Roch I Carceller and 3 other authorsView PDFTeX Source view license Current browse context: quant-ph new | recent | 2025-10 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?)
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