Assessing the Practical Feasibility of the Clader-Jacobs-Sprouse Quantum Algorithm for Calculating Radar Cross Sections
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Quantum Physics arXiv:2602.20553 (quant-ph) [Submitted on 24 Feb 2026] Title:Assessing the Practical Feasibility of the Clader-Jacobs-Sprouse Quantum Algorithm for Calculating Radar Cross Sections Authors:Edward Parker, Nicholas A. O'Donoughue, Alvin Moon, Nicolas M. Robles View a PDF of the paper titled Assessing the Practical Feasibility of the Clader-Jacobs-Sprouse Quantum Algorithm for Calculating Radar Cross Sections, by Edward Parker and 3 other authors View PDF Abstract:In 2013, Clader, Jacobs, and Sprouse developed a quantum computing algorithm that solves electromagnetic scattering problems exponentially faster than the best known classical algorithm for that problem. We examine this quantum algorithm's potential practical feasibility for modeling a target's radar cross section. Doing so could be important for modeling and predicting radar behavior against emerging targets. Comments: Subjects: Quantum Physics (quant-ph) Report number: RR-A4086-1 Cite as: arXiv:2602.20553 [quant-ph] (or arXiv:2602.20553v1 [quant-ph] for this version) https://doi.org/10.48550/arXiv.2602.20553 Focus to learn more arXiv-issued DOI via DataCite (pending registration) Submission history From: Edward Parker [view email] [v1] Tue, 24 Feb 2026 05:11:19 UTC (908 KB) Full-text links: Access Paper: View a PDF of the paper titled Assessing the Practical Feasibility of the Clader-Jacobs-Sprouse Quantum Algorithm for Calculating Radar Cross Sections, by Edward Parker and 3 other authorsView PDF view license Current browse context: quant-ph new | recent | 2026-02 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?)