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Solving tricky quantum optics problems with assistance from (artificial) intelligence

Pandey, Manas et al. · 2025 · arxiv_oai
arXiv (OAI) · Papers · 2025
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[2506.12770] Solving tricky quantum optics problems with assistance from (artificial) intelligence Skip to main content Search Submit Donate Log in Search arXiv Press Enter to search · Advanced search Quantum Physics arXiv:2506.12770 (quant-ph) [Submitted on 15 Jun 2025] Title: Solving tricky quantum optics problems with assistance from (artificial) intelligence Authors: Manas Pandey , Bharath Hebbe Madhusudhana , Saikat Ghosh , Dmitry Budker View a PDF of the paper titled Solving tricky quantum optics problems with assistance from (artificial) intelligence, by Manas Pandey and 3 other authors View PDF HTML (experimental) Abstract: The capabilities of modern artificial intelligence (AI) as a ``scientific collaborator'' are explored by engaging it with three nuanced problems in quantum optics: state populations in optical pumping, resonant transitions between decaying states (the Burshtein effect), and degenerate mirrorless lasing. Through iterative dialogue, the authors observe that AI models--when prompted and corrected--can reason through complex scenarios, refine their answers, and provide expert-level guidance, closely resembling the interaction with an adept colleague. The findings highlight that AI democratizes access to sophisticated modeling and analysis, shifting the focus in scientific practice from technical mastery to the generation and testing of ideas, and reducing the time for completing research tasks from days to minutes. Comments: 9 pages, 3 figures Subjects: Quantum Physics (quant-ph) ; Artificial Intelligence (cs.AI); Atomic Physics (physics.atom-ph) Cite as: arXiv:2506.12770 [quant-ph] (or arXiv:2506.12770v1 [quant-ph] for this version) https://doi.org/10.48550/arXiv.2506.12770 Focus to learn more arXiv-issued DOI via DataCite Related DOI : https://doi.org/10.1038/s42005-025-02398-2 Focus to learn more DOI(s) linking to related resources Submission history From: Manas Pandey [ view email ] [v1] Sun, 15 Jun 2025 08:40:15 UTC (495 KB) Full-text links: Access Paper: View a PDF of the paper titled Solving tricky quantum optics problems with assistance from (artificial) intelligence, by Manas Pandey and 3 other authors View PDF HTML (experimental) TeX Source view license Current browse context: quant-ph < prev | next > new | recent | 2025-06 Change to browse by: cs cs.AI physics physics.atom-ph References & Citations INSPIRE HEP NASA ADS Google 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? ) We gratefully acknowledge support from our major funders , member institutions , , and all contributors. About · Help · Contact · Subscribe · Copyright · Privacy · Accessibility · Operational Status (opens in new tab) Major funding support from

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