Temporal Framework for Causality-Preserving Scheduling of Measurements in Quantum Networks
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Quantum Physics arXiv:2602.12459 (quant-ph) [Submitted on 12 Feb 2026] Title:Temporal Framework for Causality-Preserving Scheduling of Measurements in Quantum Networks Authors:Jakob Kaltoft Søndergaard, René Bødker Christensen, Petar Popovski View a PDF of the paper titled Temporal Framework for Causality-Preserving Scheduling of Measurements in Quantum Networks, by Jakob Kaltoft S{\o}ndergaard and 2 other authors View PDF HTML (experimental) Abstract:Distributed quantum protocols rely on classical feedforward information to process measurement outcomes, but heterogeneous hardware and uncertain local timing can make the causal order of measurements ambiguous when inferred solely from arrival times. Even in simple line networks with only Pauli measurements, end nodes cannot distinguish whether a missing outcome is caused by slow measurement or by delayed classical propagation. To resolve this ambiguity, we propose a time-division architecture for quantum networks in which nodes perform measurements in pre-assigned slots, ensuring a unique causal interpretation of outcomes. We formalize this temporal framework and derive the feedforward and adjacency constraints required to preserve measurement causality. For simple network topologies, we present an algorithm that yields optimal measurement schedules. Overall, the proposed time-division model provides a practical coordination layer that bridges the classical network timing with quantum measurement processing, enabling reliable and scalable measurement-based quantum networking. Comments: Subjects: Quantum Physics (quant-ph) Cite as: arXiv:2602.12459 [quant-ph] (or arXiv:2602.12459v1 [quant-ph] for this version) https://doi.org/10.48550/arXiv.2602.12459 Focus to learn more arXiv-issued DOI via DataCite (pending registration) Submission history From: Jakob Kaltoft Søndergaard [view email] [v1] Thu, 12 Feb 2026 22:36:30 UTC (98 KB) Full-text links: Access Paper: View a PDF of the paper titled Temporal Framework for Causality-Preserving Scheduling of Measurements in Quantum Networks, by Jakob Kaltoft S{\o}ndergaard and 2 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?)