Emulation of Entanglement Distribution Networks on a Quantum Computer

Quantum Physics arXiv:2607.14260 (quant-ph) [Submitted on 15 Jul 2026] Title:Emulation of Entanglement Distribution Networks on a Quantum Computer Authors:Ashley N. Tittelbaugh, Jerry Horgan, Rohan Bali, Marco Ruffini, Daniel C. Kilper, Shelbi L. Jenkins, Boulat A. Bash View a PDF of the paper titled Emulation of Entanglement Distribution Networks on a Quantum Computer, by Ashley N. Tittelbaugh and 5 other authors View PDF HTML (experimental) Abstract:We investigate how quantum computers can be used to emulate quantum networks and study their performance under practical impairments. In particular, we evaluate how degraded entanglement and communication latency affect teleportation-based distributed multipartite-entanglement-state construction. We model imperfect Bell-pair sources using depolarizing noise channels and classical communication delays using thermal relaxation. We implement the depolarization using Stinespring dilation, randomly applied Pauli errors, and quasi-probability decompositions, evaluating the latter two on IQM quantum hardware and all three in simulation. We then study the performance of the entanglement distribution under noise generated by the aforementioned models. Although these noise models are mathematically equivalent, we find that hardware constraints result in profound differences in the corresponding results, highlighting the importance of careful experiment design. Comments: Subjects: Quantum Physics (quant-ph); Networking and Internet Architecture (cs.NI) Cite as: arXiv:2607.14260 [quant-ph] (or arXiv:2607.14260v1 [quant-ph] for this version) https://doi.org/10.48550/arXiv.2607.14260 Focus to learn more arXiv-issued DOI via DataCite (pending registration) Submission history From: Jerry Horgan [view email] [v1] Wed, 15 Jul 2026 18:15:41 UTC (658 KB) Full-text links: Access Paper: View a PDF of the paper titled Emulation of Entanglement Distribution Networks on a Quantum Computer, by Ashley N. Tittelbaugh and 5 other authorsView PDFHTML (experimental)TeX Source view license Current browse context: quant-ph new | recent | 2026-07 Change to browse by: cs cs.NI 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?) 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?)