Coherent Control of Population and Quantum Coherence in Superconducting Circuits
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Quantum Physics arXiv:2602.23975 (quant-ph) [Submitted on 27 Feb 2026] Title:Coherent Control of Population and Quantum Coherence in Superconducting Circuits Authors:Madan Mohan Mahana, Gunjan Yadav, Tarak Nath Dey View a PDF of the paper titled Coherent Control of Population and Quantum Coherence in Superconducting Circuits, by Madan Mohan Mahana and 2 other authors View PDF HTML (experimental) Abstract:Quantum mechanics, with its counterintuitive principles and probabilistic nature, has long been confined to the microscopic realm of atoms and photons. Yet, recent breakthroughs have pushed the boundaries of quantum behavior into the macroscopic world, where objects are visible to the naked eye and governed by classical physics. This review article traces the extraordinary progress toward achieving coherent control of population distributions among multiple quantum levels, as well as manipulation of absorption and refractive index, in such large-scale quantum systems, a feat once considered beyond reach. Subjects: Quantum Physics (quant-ph) Cite as: arXiv:2602.23975 [quant-ph] (or arXiv:2602.23975v1 [quant-ph] for this version) https://doi.org/10.48550/arXiv.2602.23975 Focus to learn more arXiv-issued DOI via DataCite (pending registration) Submission history From: Madan Mohan Mahana [view email] [v1] Fri, 27 Feb 2026 12:35:56 UTC (1,706 KB) Full-text links: Access Paper: View a PDF of the paper titled Coherent Control of Population and Quantum Coherence in Superconducting Circuits, by Madan Mohan Mahana and 2 other authorsView PDFHTML (experimental)TeX Source 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?)