Distributed variational quantum computing with deterministic entanglement tuning

Quantum Physics arXiv:2609.10932 (quant-ph) [Submitted on 10 Sep 2026] Title:Distributed variational quantum computing with deterministic entanglement tuning Authors:Ilhwan Kim, Yong-Su Kim, Kwang Jo Lee, Hyukjoon Kwon, Yosep Kim, Hyang-Tag Lim View a PDF of the paper titled Distributed variational quantum computing with deterministic entanglement tuning, by Ilhwan Kim and 5 other authors View PDF HTML (experimental) Abstract:Distributed quantum computing offers a scalable route to quantum information processing by entangling spatially separated processors. Although gate teleportation enables universal computation across distributed nodes, it requires repeated consumption of high-fidelity Bell pairs, ancillary qubits, and real-time feedforward, which imposes significant overhead and reduces fidelity. However, many variational quantum algorithms do not demand full universality; rather, they rely on sufficient expressibility to explore solution spaces effectively. Building on this, we propose a distributed variational quantum computing protocol based on deterministic entanglement tuning. In contrast to probabilistic filtering, our approach deterministically modulates pre-shared entanglement using only local operations and classical communication. We validate the protocol through a proof-of-principle experiment by estimating ground-state energies of the He-H$^+$ molecule and the Schwinger model, showing that diverse entanglement levels can be engineered to match problem-specific requirements. Our results suggest a practical alternative for near-term distributed quantum applications. Comments: Subjects: Quantum Physics (quant-ph) Cite as: arXiv:2609.10932 [quant-ph] (or arXiv:2609.10932v1 [quant-ph] for this version) https://doi.org/10.48550/arXiv.2609.10932 Focus to learn more arXiv-issued DOI via DataCite (pending registration) Journal reference: Physical Review Applied 26, 034017 (2026) Related DOI: https://doi.org/10.1103/9pj6-prlz Focus to learn more DOI(s) linking to related resources Submission history From: Hyang-Tag Lim Dr. [view email] [v1] Thu, 10 Sep 2026 00:36:39 UTC (9,398 KB) Full-text links: Access Paper: View a PDF of the paper titled Distributed variational quantum computing with deterministic entanglement tuning, by Ilhwan Kim and 5 other authorsView PDFHTML (experimental)TeX Source view license Ancillary-file links: Ancillary files (details): Nielsen_suppl.pdf Current browse context: quant-ph new | recent | 2026-09 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?)