A double selection entanglement distillation-based state estimator

[2505.24280] A double selection entanglement distillation-based state estimator Skip to main content Search Submit Donate Log in Search arXiv Press Enter to search · Advanced search Quantum Physics arXiv:2505.24280 (quant-ph) [Submitted on 30 May 2025] Title: A double selection entanglement distillation-based state estimator Authors: Joshua Carlo A. Casapao , Ananda G. Maity , Naphan Benchasattabuse , Michal Hajdušek , Akihito Soeda , Rodney Van Meter , David Elkouss View a PDF of the paper titled A double selection entanglement distillation-based state estimator, by Joshua Carlo A. Casapao and 6 other authors View PDF HTML (experimental) Abstract: With the advent of practical quantum communication networks drawing closer, there is a growing need for reliable estimation protocols that can efficiently characterize quantum resources with minimum resource overhead requirement. A novel approach to this problem is to integrate an estimator into an existing network task, thereby removing the need for an additional characterization protocol. In this work, we show that the measurement statistics of a double selection distillation protocol alone can be used to efficiently estimate the Bell-diagonal parameters of the undistilled states, as well as the resulting distilled states after additional post-processing. We also demonstrate that this novel estimator outperforms the previously proposed distillation-based estimator in terms of resource complexity. Comments: 9 pages, 3 figures; comments are welcome Subjects: Quantum Physics (quant-ph) Cite as: arXiv:2505.24280 [quant-ph] (or arXiv:2505.24280v1 [quant-ph] for this version) https://doi.org/10.48550/arXiv.2505.24280 Focus to learn more arXiv-issued DOI via DataCite Journal reference: 2025 IEEE International Conference on Quantum Computing and Engineering (QCE), Albuquerque, NM, USA, 2025, pp. 1089-1097 Related DOI : https://doi.org/10.1109/QCE65121.2025.00122 Focus to learn more DOI(s) linking to related resources Submission history From: Joshua Carlo Casapao [ view email ] [v1] Fri, 30 May 2025 06:58:03 UTC (224 KB) Full-text links: Access Paper: View a PDF of the paper titled A double selection entanglement distillation-based state estimator, by Joshua Carlo A. Casapao and 6 other authors View PDF HTML (experimental) TeX Source view license Current browse context: quant-ph < prev | next > new | recent | 2025-05 References & Citations INSPIRE HEP NASA ADS Google 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? ) We gratefully acknowledge support from our major funders , member institutions , , and all contributors. About · Help · Contact · Subscribe · Copyright · Privacy · Accessibility · Operational Status (opens in new tab) Major funding support from

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