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Dissipative realization of a quantum distance-based classifier using open quantum walks

arXiv Quantum Physics
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⚡ Quantum Brief
Researchers demonstrated a quantum distance-based classifier using open quantum walks (OQWs), a model where environmental interactions drive computation. This marks the first practical implementation of a machine learning algorithm within the OQW framework. The study proves OQWs can execute quantum algorithms efficiently, even in slower operational regimes, maintaining finite runtime. This addresses prior concerns about scalability in dissipative quantum systems. Published in Entropy (2026), the work was led by Pedro Linck Maciel and collaborators from the University of KwaZulu-Natal and Stellenbosch University. It bridges quantum computing and open-system dynamics. OQWs differ from closed quantum walks by leveraging environmental noise as a computational resource, offering potential robustness against decoherence. This could simplify error mitigation in near-term quantum devices. The findings suggest OQWs may enable novel quantum machine learning approaches, particularly in classification tasks, by exploiting dissipative processes rather than suppressing them.
Dissipative realization of a quantum distance-based classifier using open quantum walks

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Quantum Physics arXiv:2603.16010 (quant-ph) [Submitted on 16 Mar 2026] Title:Dissipative realization of a quantum distance-based classifier using open quantum walks Authors:Pedro Linck Maciel, Graeme Pleasance, Francesco Petruccione, Nadja K. Bernardes View a PDF of the paper titled Dissipative realization of a quantum distance-based classifier using open quantum walks, by Pedro Linck Maciel and 3 other authors View PDF HTML (experimental) Abstract:Open quantum walks (OQWs) constitute a class of quantum walks whose dynamics are entirely driven by interactions with the environment. It is well known that OQWs provide a general framework for implementing quantum computation. As a proof of principle, we demonstrate the feasibility of running this algorithm within the open quantum walk computation model, and we show that its expected runtime remains finite even in the slower regime. Subjects: Quantum Physics (quant-ph) Cite as: arXiv:2603.16010 [quant-ph] (or arXiv:2603.16010v1 [quant-ph] for this version) https://doi.org/10.48550/arXiv.2603.16010 Focus to learn more arXiv-issued DOI via DataCite (pending registration) Journal reference: Entropy 2026, 28(2), 239 Related DOI: https://doi.org/10.3390/e28020239 Focus to learn more DOI(s) linking to related resources Submission history From: Pedro Linck Maciel [view email] [v1] Mon, 16 Mar 2026 23:39:15 UTC (266 KB) Full-text links: Access Paper: View a PDF of the paper titled Dissipative realization of a quantum distance-based classifier using open quantum walks, by Pedro Linck Maciel and 3 other authorsView PDFHTML (experimental)TeX Source view license Current browse context: quant-ph new | recent | 2026-03 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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Source: arXiv Quantum Physics