Journal article
Experimental benchmarking of quantum state overlap estimation strategies with photonic systems
- Abstract:
- Accurately estimating the overlap between quantum states is a fundamental task in quantum information processing. While various strategies using distinct quantum measurements have been proposed for overlap estimation, the lack of experimental benchmarks on estimation precision limits strategy selection in different situations. Here we compare the performance of four practical strategies for overlap estimation, including tomography-tomography, tomography-projection, Schur collective measurement and optical swap test using photonic quantum systems. We encode the quantum states on the polarization and path degrees of freedom of single photons. The corresponding measurements are performed by photon detection on certain modes following single-photon mode transformation or two-photon interference. We further propose an adaptive strategy with optimized precision in full-range overlap estimation. Our results shed new light on extracting the parameter of interest from quantum systems, prompting the design of efficient quantum protocols.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
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- Files:
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(Preview, Version of record, pdf, 1.4MB, Terms of use)
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- Publisher copy:
- 10.1038/s41377-025-01755-8
Authors
+ National Natural Science Foundation of China
More from this funder
- Funder identifier:
- https://ror.org/01h0zpd94
- Grant:
- 12461160276
- Publisher:
- Springer Nature
- Journal:
- Light: Science and Applications More from this journal
- Volume:
- 14
- Issue:
- 1
- Article number:
- 83
- Place of publication:
- England
- Publication date:
- 2025-02-12
- Acceptance date:
- 2025-01-10
- DOI:
- EISSN:
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2047-7538
- ISSN:
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2095-5545
- Pmid:
-
39934137
- Language:
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English
- Pubs id:
-
2085379
- Local pid:
-
pubs:2085379
- Deposit date:
-
2025-02-12
Terms of use
- Copyright holder:
- Zhan et al
- Copyright date:
- 2025
- Rights statement:
- © The Author(s) 2025. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder.
- Licence:
- CC Attribution (CC BY)
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