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Quantum Sensing via Large Spin-Clusters in Solid-State NMR: Optimal coherence order for practical sensing

Conan Alexander, T S Mahesh
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--> Quantum Physics arXiv:2512.00494 (quant-ph) [Submitted on 29 Nov 2025] Title:Quantum Sensing via Large Spin-Clusters in Solid-State NMR: Optimal coherence order for practical sensing Authors:Conan Alexander, T S Mahesh View a PDF of the paper titled Quantum Sensing via Large Spin-Clusters in Solid-State NMR: Optimal coherence order for practical sensing, by Conan Alexander and T S Mahesh View PDF HTML (experimental) Abstract:Quantum entanglement has long been recognized as an important resource for quantum sensing. In this work, we demonstrate the use of multiple-quantum solid-state NMR for quantum sensing by creating, manipulating, and detecting large clusters of correlated nuclear spins.
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Quantum Physics arXiv:2512.00494 (quant-ph) [Submitted on 29 Nov 2025] Title:Quantum Sensing via Large Spin-Clusters in Solid-State NMR: Optimal coherence order for practical sensing Authors:Conan Alexander, T S Mahesh View a PDF of the paper titled Quantum Sensing via Large Spin-Clusters in Solid-State NMR: Optimal coherence order for practical sensing, by Conan Alexander and T S Mahesh View PDF HTML (experimental) Abstract:Quantum entanglement has long been recognized as an important resource for quantum sensing. In this work, we demonstrate the use of multiple-quantum solid-state NMR for quantum sensing by creating, manipulating, and detecting large clusters of correlated nuclear spins. We show that such clusters can sensitively detect pulse-width jitters in radio-frequency control fields at the level of tens of nanoseconds. By analyzing the response of high-order quantum coherences to these control-field jitters, we investigate the critical interplay between the enhanced sensitivity offered by large coherence orders, their relative distributions, and their varying susceptibility to decoherence. We further demonstrate that, even within a non-uniform distribution of coherence orders, there exists an optimal maximum coherence order that maximizes sensing efficiency. To support our interpretation, we supplement the experimental results with a simplified numerical model that estimates the corresponding quantum Fisher information. These results support the solid-state NMR platform as a valuable testbed for investigating many-body quantum metrology protocols. Comments: Subjects: Quantum Physics (quant-ph) Cite as: arXiv:2512.00494 [quant-ph] (or arXiv:2512.00494v1 [quant-ph] for this version) https://doi.org/10.48550/arXiv.2512.00494 Focus to learn more arXiv-issued DOI via DataCite (pending registration) Submission history From: Conan Alexander [view email] [v1] Sat, 29 Nov 2025 14:02:08 UTC (359 KB) Full-text links: Access Paper: View a PDF of the paper titled Quantum Sensing via Large Spin-Clusters in Solid-State NMR: Optimal coherence order for practical sensing, by Conan Alexander and T S MaheshView 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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