ArticleLight, science & applications2025
Experimental benchmarking of quantum state overlap estimation strategies with photonic systems.
Hao Zhan, Ben Wang, Minghao Mi, Jie Xie, Liang Xu, Aonan Zhang, Lijian Zhang
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In one paragraphArticle in Light, science & applications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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7 authors.
Hao ZhanNational Laboratory of Solid State Microstructures, Key Laboratory of Intelligent Optical Sensing and Manipulation, College of Engineering and Applied Sciences, Jiangsu Physical Science Research Center, and Collaborative Innovation Center of Advanced Microstructures, Nanjing University, Nanjing, 210093, Jiangsu, China.ORCID http://orcid.org/0009-0001-9994-1710 Ben WangNational Laboratory of Solid State Microstructures, Key Laboratory of Intelligent Optical Sensing and Manipulation, College of Engineering and Applied Sciences, Jiangsu Physical Science Research Center, and Collaborative Innovation Center of Advanced Microstructures, Nanjing University, Nanjing, 210093, Jiangsu, China.
Minghao MiNational Laboratory of Solid State Microstructures, Key Laboratory of Intelligent Optical Sensing and Manipulation, College of Engineering and Applied Sciences, Jiangsu Physical Science Research Center, and Collaborative Innovation Center of Advanced Microstructures, Nanjing University, Nanjing, 210093, Jiangsu, China.
Jie XieNational Laboratory of Solid State Microstructures, Key Laboratory of Intelligent Optical Sensing and Manipulation, College of Engineering and Applied Sciences, Jiangsu Physical Science Research Center, and Collaborative Innovation Center of Advanced Microstructures, Nanjing University, Nanjing, 210093, Jiangsu, China.
Liang XuNational Laboratory of Solid State Microstructures, Key Laboratory of Intelligent Optical Sensing and Manipulation, College of Engineering and Applied Sciences, Jiangsu Physical Science Research Center, and Collaborative Innovation Center of Advanced Microstructures, Nanjing University, Nanjing, 210093, Jiangsu, China.
Aonan ZhangNational Laboratory of Solid State Microstructures, Key Laboratory of Intelligent Optical Sensing and Manipulation, College of Engineering and Applied Sciences, Jiangsu Physical Science Research Center, and Collaborative Innovation Center of Advanced Microstructures, Nanjing University, Nanjing, 210093, Jiangsu, China. a.zhang@imperial.ac.uk.ORCID http://orcid.org/0000-0002-6310-4769 Lijian ZhangNational Laboratory of Solid State Microstructures, Key Laboratory of Intelligent Optical Sensing and Manipulation, College of Engineering and Applied Sciences, Jiangsu Physical Science Research Center, and Collaborative Innovation Center of Advanced Microstructures, Nanjing University, Nanjing, 210093, Jiangsu, China. lijian.zhang@nju.edu.cn.ORCID http://orcid.org/0000-0002-3247-9189 Funding
National Natural Science Foundation of China (National Science Foundation of China) 12461160276Natural Science Foundation of Jiangsu Province (Jiangsu Provincial Natural Science Foundation) BK20233001
6 · The paper itselfAbstract
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.
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PMID39934137
PMCPMC11814415
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