Measurement-Based Quantum Computing on a Photonic Chip

Quantum Physics arXiv:2607.07890 (quant-ph) [Submitted on 8 Jul 2026] Title:Measurement-Based Quantum Computing on a Photonic Chip Authors:Jeldrik Huster, Louis L. Hohmann, Kevin Edelmann, Stefanie Barz View a PDF of the paper titled Measurement-Based Quantum Computing on a Photonic Chip, by Jeldrik Huster and 3 other authors View PDF HTML (experimental) Abstract:Integrated photonics provides a scalable platform for quantum information processing. In this context, measurement-based quantum computing (MBQC) offers an attractive approach in which quantum computation is realised by adaptive measurements on highly entangled graph states, circumventing the need for deterministic photon-photon interactions. Here, we demonstrate MBQC on an integrated silicon photonic chip capable of generating photonic graph states with up to four qubits. We achieve fidelities of $F_{Star} = (83.5 \pm 1.8)\,\%$ and $F_{Lin} = (75.6 \pm 1.1)\,\%$ for four-photon star and linear graph states, respectively. We use these resource states to implement MBQC-based single- and two-qubit gates and to demonstrate Grover's search algorithm and the Deutsch-Jozsa algorithm. These results establish the feasibility of reconfigurable four-photon MBQC on an integrated photonic platform and provide a foundation for future larger-scale implementations. Subjects: Quantum Physics (quant-ph) Cite as: arXiv:2607.07890 [quant-ph] (or arXiv:2607.07890v1 [quant-ph] for this version) https://doi.org/10.48550/arXiv.2607.07890 Focus to learn more arXiv-issued DOI via DataCite (pending registration) Submission history From: Jeldrik Huster [view email] [v1] Wed, 8 Jul 2026 19:53:23 UTC (5,949 KB) Full-text links: Access Paper: View a PDF of the paper titled Measurement-Based Quantum Computing on a Photonic Chip, by Jeldrik Huster and 3 other authorsView PDFHTML (experimental)TeX Source view license Current browse context: quant-ph new | recent | 2026-07 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?)