Dose-efficient Quantum Phase Estimation in Lossy Optical Interferometry

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Quantum Physics arXiv:2606.14254 (quant-ph) [Submitted on 12 Jun 2026] Title:Dose-efficient Quantum Phase Estimation in Lossy Optical Interferometry Authors:Qilin Yu (1), Ben Wang (1,2), Kaimin Zheng (1), Minghao Mi (1), Hui Li (1), Lijian Zhang (1) ((1) National Laboratory of Solid State Microstructures and College of Engineering and Applied Sciences, Nanjing University, Nanjing, China (2) School of Materials Science and Physics, China University of Mining and Technology, Xuzhou, China) View a PDF of the paper titled Dose-efficient Quantum Phase Estimation in Lossy Optical Interferometry, by Qilin Yu (1) and 11 other authors View PDF HTML (experimental) Abstract:Optical interferometry is a cornerstone technique for precise phase measurements across various fields. In many applications, for example, biological imaging, it often necessitates stringent limits on light intensity to prevent adverse effects on light-sensitive samples, a condition known as dose-limited regimes. Maximizing the precision per dose is therefore crucial. In quantum metrology, quantum correlations enable high precision in phase estimation while adhering to dose constraints. Nevertheless, photon loss, including absorption by a sample, substantially diminishes the benefits of quantum enhancement in interferometry. In this work, we experimentally investigate a dose-efficient approach to quantum phase estimation using sequential strategies in the presence of loss. Performance of sequential strategies with and without control is evaluated through quantum Fisher information (QFI) per dose. Experimental results show that both sequential strategies exceed the classical limit and outperform the parallel strategy using unbalanced N00N states. Notably, the control-enhanced sequential strategy attains superior QFI per dose, approaching the quantum limit. These results highlight the promise of sequential strategy for imaging and sensing in resource-constrained scenarios, marking a significant step toward practical and efficient quantum metrology in lossy environments. Subjects: Quantum Physics (quant-ph) Cite as: arXiv:2606.14254 [quant-ph] (or arXiv:2606.14254v1 [quant-ph] for this version) https://doi.org/10.48550/arXiv.2606.14254 Focus to learn more arXiv-issued DOI via DataCite (pending registration) Journal reference: Optica 13, 1130-1136 (2026) Related DOI: https://doi.org/10.1364/OPTICA.595738 Focus to learn more DOI(s) linking to related resources Submission history From: Ben Wang [view email] [v1] Fri, 12 Jun 2026 08:33:36 UTC (4,610 KB) Full-text links: Access Paper: View a PDF of the paper titled Dose-efficient Quantum Phase Estimation in Lossy Optical Interferometry, by Qilin Yu (1) and 11 other authorsView PDFHTML (experimental)TeX Source view license Current browse context: quant-ph new | recent | 2026-06 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?) 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?)
