Single-photon dual-comb ghost imaging spectroscopy

Single-photon dual-comb ghost imaging spectroscopy | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Article Single-photon dual-comb ghost imaging spectroscopy Liang MEI, Daowang Peng, Zhenfeng Gong, Zhong Zuo, Zhiwei Liu, and 5 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-5472622/v1 This work is licensed under a CC BY 4.0 License Status: Published Journal Publication published 26 Sep, 2025 Read the published version in Nature Communications → Version 1 posted You are reading this latest preprint version Abstract Single-photon spectroscopy (SPS), utilizing a single-pixel binary detector, often statistically recovers “high-dimension” spectral information from “low-dimension” photon-counting signals with ultra-high sensitivity. Nevertheless, it has been a significantly long-standing challenge to achieve either high-speed or high-resolution spectral measurements under photon-deficient scenarios. This study proposes single-photon dual-comb ghost imaging spectroscopy (DC-GIS), which utilizes a mode-resolved dual-comb matrix to interrogate the sample and directly calculates the high-resolution spectrum from photon-counting signals in milliseconds through ghost-imaging method. The concept of single-photon DC-GIS has been examined by measuring the vib-rotational transitions of acetylene with a resolution of 125 MHz and a measurement time of 6.4 ms, and strain sensing based on fiber Bragg grating with an ultra-high sensitivity of 0.5 µε with femtowatt-level power per comb line. This approach, breaking the classic idea of SPS recovering spectra from statistic histogram of photon counts, brings the high-speed and high-resolution spectroscopy to cutting-edge researches of photon-scarce scenarios. Physical sciences/Optics and photonics/Optical techniques/Optical spectroscopy/Infrared spectroscopy Physical sciences/Optics and photonics/Other photonics/Frequency combs Full Text Additional Declarations There is NO Competing Interest. Supplementary Files SupplementaryInformationforXXXSinglephotondualcombghostimagingspectroscopyXXX.docx Cite Share Download PDF Status: Published Journal Publication published 26 Sep, 2025 Read the published version in Nature Communications → Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. 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Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-5472622","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Article","associatedPublications":[],"authors":[{"id":388699001,"identity":"decd01c4-de13-446e-becf-31597d44f328","order_by":0,"name":"Liang 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