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Hybrid continuous-discrete-variable quantum computing: a guide to utility

A. F. Kemper, Antonios Alvertis, Muhammad Asaduzzaman, Bojko N. Bakalov, Dror Baron, Joel Bierman, Blake Burgstahler, Srikar Chundury, Elin Ranjan Das, Jim Furches, Fucheng Guo, Raghav G. Jha, Katherine Klymko, Arvin Kushwaha, Ang Li, Aishwarya Majumdar, Carlos Ortiz Marrero, Shubdeep Mohapatra, Christopher Mori, Frank Mueller, Doru Thom Popovici, Tim Stavenger, Mastawal Tirfe, Norm M. Tubman, Muqing Zheng, Huiyang Zhou, Yuan Liu
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⚡ Quantum Brief
A collaborative team of 26 researchers led by A.F. Kemper introduces a hybrid quantum computing paradigm merging discrete (qubit-based) and continuous-variable (CV) quantum systems, challenging the dominance of traditional discrete-only approaches. The paper highlights CV modes’ advantages, including enhanced noise resilience, scalability for certain tasks, and native compatibility with analog quantum simulations, particularly in quantum field theory and bosonic systems. Key applications span physics (quantum simulations of condensed matter), chemistry (molecular dynamics with vibrational modes), and computer science (optimization and machine learning via hybrid algorithms). Algorithmic innovations are proposed, such as hybrid gates bridging discrete and CV qubits, alongside new error mitigation techniques tailored for mixed-variable architectures to improve practical utility. Software frameworks and compilation tools for hybrid systems are outlined, emphasizing the need for unified programming interfaces to integrate existing discrete and CV quantum hardware efficiently.
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Quantum Physics arXiv:2511.13882 (quant-ph) [Submitted on 17 Nov 2025] Title:Hybrid continuous-discrete-variable quantum computing: a guide to utility Authors:A.F. Kemper, Antonios Alvertis, Muhammad Asaduzzaman, Bojko N. Bakalov, Dror Baron, Joel Bierman, Blake Burgstahler, Srikar Chundury, Elin Ranjan Das, Jim Furches, Fucheng Guo, Raghav G. Jha, Katherine Klymko, Arvin Kushwaha, Ang Li, Aishwarya Majumdar, Carlos Ortiz Marrero, Shubdeep Mohapatra, Christopher Mori, Frank Mueller, Doru Thom Popovici, Tim Stavenger, Mastawal Tirfe, Norm M. Tubman, Muqing Zheng, Huiyang Zhou, Yuan Liu View a PDF of the paper titled Hybrid continuous-discrete-variable quantum computing: a guide to utility, by A.F. Kemper and 25 other authors View PDF HTML (experimental) Abstract:Quantum computing has traditionally centered around the discrete variable paradigm. A new direction is the inclusion of continuous variable modes and the consideration of a hybrid continuous-discrete approach to quantum computing. In this paper, we discuss some of the advantages of this modality, and lay out a number of potential applications that can make use of it; these include applications from physics, chemistry, and computer science. We also briefly overview some of the algorithmic and software considerations for this new paradigm. Comments: Subjects: Quantum Physics (quant-ph) Cite as: arXiv:2511.13882 [quant-ph] (or arXiv:2511.13882v1 [quant-ph] for this version) https://doi.org/10.48550/arXiv.2511.13882 Focus to learn more arXiv-issued DOI via DataCite (pending registration) Submission history From: Alexander Kemper [view email] [v1] Mon, 17 Nov 2025 20:02:16 UTC (1,905 KB) Full-text links: Access Paper: View a PDF of the paper titled Hybrid continuous-discrete-variable quantum computing: a guide to utility, by A.F. Kemper and 25 other authorsView PDFHTML (experimental)TeX Source view license Current browse context: quant-ph new | recent | 2025-11 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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