Experimental Joint Estimation of Phase and Phase Diffusion via Deterministic Bell Measurements

Quantum Physics arXiv:2512.22558 (quant-ph) [Submitted on 27 Dec 2025] Title:Experimental Joint Estimation of Phase and Phase Diffusion via Deterministic Bell Measurements Authors:Ben Wang, Minghao Mi, Huangqiuchen Wang, Qian Xie, Lijian Zhang View a PDF of the paper titled Experimental Joint Estimation of Phase and Phase Diffusion via Deterministic Bell Measurements, by Ben Wang and 4 other authors View PDF HTML (experimental) Abstract:Accurate phase estimation plays a pivotal role in quantum metrology, yet its precision is significantly affected by noise, particularly phase-diffusive noise caused by phase drift. To address this challenge, the joint estimation of phase and phase diffusion has emerged as an effective approach, transforming the problem into a multi-parameter estimation task. However, the incompatibility between optimal measurements for different parameters prevents single-copy measurements from reaching the fundamental precision limits defined by the quantum Cramer-Rao bound. Meanwhile, collective measurements performed on multiple identical copies can mitigate this incompatibility and thus enhance the precision of joint parameter estimation. This work experimentally demonstrates joint phase and phase-diffusion estimation using deterministic Bell measurements on a two-qubit system. A linear optical network is employed to implement both parameter encoding and deterministic Bell measurements, achieving improved estimation precision compared to any separable measurement strategy. This work proposes a new framework for phase estimation under phase-diffusive noise and underscores the substantial advantages of collective measurements in multi-parameter quantum metrology. Subjects: Quantum Physics (quant-ph) Cite as: arXiv:2512.22558 [quant-ph] (or arXiv:2512.22558v1 [quant-ph] for this version) https://doi.org/10.48550/arXiv.2512.22558 Focus to learn more arXiv-issued DOI via DataCite (pending registration) Journal reference: Adv. Sci. (2025): e18375 Related DOI: https://doi.org/10.1002/advs.202518375 Focus to learn more DOI(s) linking to related resources Submission history From: Ben Wang [view email] [v1] Sat, 27 Dec 2025 11:12:08 UTC (23,684 KB) Full-text links: Access Paper: View a PDF of the paper titled Experimental Joint Estimation of Phase and Phase Diffusion via Deterministic Bell Measurements, by Ben Wang and 4 other authorsView 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?)