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Impact of Topology on Multipartite Entanglement Distribution Protocols in Quantum Networks

arXiv Quantum Physics
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Researchers analyzed how real-world network structures affect multipartite entanglement distribution, testing four routing protocols across 81 topologies, revealing performance varies drastically based on graph metrics. Four distinct performance regimes emerged: protocols either universally fail, favor tree-based or multi-path strategies, or succeed across all methods, linking structural properties to efficiency. Repeater trimming tests showed topology dictates resilience—well-connected networks retained 90%+ distribution rates with 20% fewer repeaters, while sparse graphs lost over half their performance. The study bridges protocol design with cost-aware deployment, offering a framework to optimize infrastructure by matching routing strategies to network topology. Findings underscore the need for topology-aware quantum network planning to balance performance, resource use, and scalability in future distributed quantum systems.
Impact of Topology on Multipartite Entanglement Distribution Protocols in Quantum Networks

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Quantum Physics arXiv:2603.25920 (quant-ph) [Submitted on 26 Mar 2026] Title:Impact of Topology on Multipartite Entanglement Distribution Protocols in Quantum Networks Authors:Jazz E. Z. Ooi, Evan Sutcliffe, Alejandra Beghelli View a PDF of the paper titled Impact of Topology on Multipartite Entanglement Distribution Protocols in Quantum Networks, by Jazz E. Z. Ooi and 2 other authors View PDF HTML (experimental) Abstract:Quantum networks will rely on entanglement distribution to enable multi-user applications such as distributed quantum computing and cryptography. While multipartite entanglement distribution routing protocols have been extensively studied on idealised grid topologies, less is understood about how real network structure shapes their performance and resource requirements. We present a systematic study of four routing protocols for multipartite entanglement distribution, each characterised by the number of paths (single-path and multi-path) and routing strategy (star-based and tree-based), over 81 real network topologies. We identified four distinct topology-dependent performance regimes, where: (i) all protocols perform poorly, (ii) tree-based protocols dominate, (iii) multi-path protocols dominate, or (iv) all protocols perform well. By correlating clusters with graph metrics, we also provide structural explanations for the varied performance of specific protocols. Additionally, motivated by the anticipated high cost of repeaters, we investigated the impact of repeater trimming on the performance of multi-path protocols. Topology strongly governs how far repeater nodes can be removed from the network while maintaining a given performance (distribution rate). For instance, in networks where only 80% of nodes operate as repeaters, well-performing topologies are able to retain over 90% of the distribution rate; whereas sparse, weakly connected graphs exhibit rapid performance degradation, retaining less than half of the distribution rate. Our results provide a topology-aware framework for protocol selection and infrastructure optimisation in future quantum networks, bridging routing design with cost-aware deployment strategies. Comments: Subjects: Quantum Physics (quant-ph) Cite as: arXiv:2603.25920 [quant-ph] (or arXiv:2603.25920v1 [quant-ph] for this version) https://doi.org/10.48550/arXiv.2603.25920 Focus to learn more arXiv-issued DOI via DataCite (pending registration) Submission history From: Evan Sutcliffe [view email] [v1] Thu, 26 Mar 2026 21:21:18 UTC (2,065 KB) Full-text links: Access Paper: View a PDF of the paper titled Impact of Topology on Multipartite Entanglement Distribution Protocols in Quantum Networks, by Jazz E. Z. Ooi and 2 other authorsView PDFHTML (experimental)TeX Source view license Current browse context: quant-ph new | recent | 2026-03 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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quantum-optimization
quantum-networking
quantum-computing
quantum-communication

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Source: arXiv Quantum Physics