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Implementing the Koopman-von Neumann approach on continuous-variable photonic quantum computers

Xinfeng Gao, Olivier Pfister, Stefan Bekiranov
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Researchers from the University of Virginia and the University of New Mexico propose a novel method to simulate classical dynamics using continuous-variable photonic quantum computers via the Koopman-von Neumann (KvN) formalism. The KvN approach reformulates classical mechanics in a Hilbert space, using linear operators and Schrödinger-like equations for classical wavefunctions, bridging classical and quantum frameworks without full quantum uncertainty. The study demonstrates feasibility by implementing KvN on photonic quantum processors, targeting two key problems: a harmonic oscillator and a nonlinear 1D partial differential equation. This method leverages quantum linear algebra and unitary evolution, potentially enabling efficient simulation of intractable nonlinear dynamics that classical computers struggle to model. The work suggests photonic quantum computing could accelerate classical-to-quantum mappings, offering new tools for hybrid quantum-classical simulations in physics and engineering.
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Quantum Physics arXiv:2512.13887 (quant-ph) [Submitted on 15 Dec 2025] Title:Implementing the Koopman-von Neumann approach on continuous-variable photonic quantum computers Authors:Xinfeng Gao, Olivier Pfister, Stefan Bekiranov View a PDF of the paper titled Implementing the Koopman-von Neumann approach on continuous-variable photonic quantum computers, by Xinfeng Gao and 2 other authors View PDF HTML (experimental) Abstract:The Koopman-von Neumann (KvN) formalism recasts classical mechanics in a Hilbert space framework using complex wavefunctions and linear operators, akin to quantum mechanics. Instead of evolving probability densities in phase space (as in Liouville's equation), KvN uses a Schrödinger-like equation for a classical wavefunction, with commuting position and momentum operators. Mapped to quantum computing, KvN offers a promising route to simulate classical dynamical systems using quantum algorithms by leveraging unitary evolution and quantum linear algebra tools, potentially enabling efficient classical-to-quantum mappings without invoking full quantum uncertainty. In this work, we specifically explore the implementation of the KvN approach on continuous-variable photonic quantum computing architectures, with the goals of leveraging quantum simulation for both sampling and computing intractable nonlinear dynamics. We will demonstrate its implementation and feasibility with two problems: the harmonic oscillator and a 1D partial differential equation governing nonlinear dynamics. Comments: Subjects: Quantum Physics (quant-ph) Cite as: arXiv:2512.13887 [quant-ph] (or arXiv:2512.13887v1 [quant-ph] for this version) https://doi.org/10.48550/arXiv.2512.13887 Focus to learn more arXiv-issued DOI via DataCite (pending registration) Submission history From: Olivier Pfister [view email] [v1] Mon, 15 Dec 2025 20:45:33 UTC (285 KB) Full-text links: Access Paper: View a PDF of the paper titled Implementing the Koopman-von Neumann approach on continuous-variable photonic quantum computers, by Xinfeng Gao and 2 other authorsView PDFHTML (experimental)TeX Source view license Current browse context: quant-ph new | recent | 2025-12 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-algorithms
quantum-computing
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