Optimized Quantum States for Sensing in the Presence of Loss and Phase Noise
Summarize this article with:
Quantum Physics arXiv:2606.19649 (quant-ph) [Submitted on 17 Jun 2026] Title:Optimized Quantum States for Sensing in the Presence of Loss and Phase Noise Authors:Shruti Maliakal, Zachary Mann, Christopher Wipf, Rana X Adhikari, Su Direkci, Yanbei Chen View a PDF of the paper titled Optimized Quantum States for Sensing in the Presence of Loss and Phase Noise, by Shruti Maliakal and 4 other authors View PDF HTML (experimental) Abstract:Squeezed vacuum lets gravitational-wave detectors and other quantum sensors surpass the standard quantum limit, and is optimal in the loss-limited regime; phase noise breaks this optimality. Numerically optimizing the quantum Fisher information across the loss and phase-noise landscape, we identify non-Gaussian states that outperform any Gaussian state. These fall into three classes: Fock-like, cubic-phase-like, and states with discrete rotational symmetry. Limiting the average number of photons in the input state to $\bar{n}=5$, with $1-\eta = 5\%$ photon loss and 200 mrad phase noise, the non-Gaussian advantage reaches up to 2.2 dB. Furthermore, we observe that the non-Gaussian advantage can persist even when the measurement strategy is homodyne detection. Comments: Subjects: Quantum Physics (quant-ph); Instrumentation and Detectors (physics.ins-det) Cite as: arXiv:2606.19649 [quant-ph] (or arXiv:2606.19649v1 [quant-ph] for this version) https://doi.org/10.48550/arXiv.2606.19649 Focus to learn more arXiv-issued DOI via DataCite (pending registration) Submission history From: Rana X. Adhikari [view email] [v1] Wed, 17 Jun 2026 23:06:38 UTC (591 KB) Full-text links: Access Paper: View a PDF of the paper titled Optimized Quantum States for Sensing in the Presence of Loss and Phase Noise, by Shruti Maliakal and 4 other authorsView PDFHTML (experimental)TeX Source view license Current browse context: quant-ph new | recent | 2026-06 Change to browse by: physics physics.ins-det 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?)