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Paper Abstract and Keywords
Presentation 2022-12-08 14:00
[Poster Presentation] QestOptPOVM: Numerical search for finding an optimal POVM for multiparameter estimation
Jianchao Zhang, Jun Suzuki (UEC)
Abstract (in Japanese) (See Japanese page) 
(in English) It is of fundamental question to find an optimal measurement (POVM) that extracts the most information available about the parameter encoded in a quantum state. This problem remains unsolved due to non-trivial optimization. In this paper, we propose an algorithm, QestOptPOVM, in searching for the optimal POVM based on the gradient descent method. We focus on one special optimality condition of the measurements, so called the A-optimality. The questions of finding the optimal measurements and the minimal number of POVM elements are both studied. One specific two-parameter qubit model is tested in the i.i.d. extension setting to show the efficiency and accuracy of the proposed algorithm.
Keyword (in Japanese) (See Japanese page) 
(in English) Quantum parameter estimation / gradient descent / optimal POVM / / / / /  
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Conference Information
Committee QIT  
Conference Date 2022-12-08 - 2022-12-09 
Place (in Japanese) (See Japanese page) 
Place (in English) Keio Univ. 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Quantum Information 
Paper Information
Registration To QIT 
Conference Code 2022-12-QIT 
Language English 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) QestOptPOVM: Numerical search for finding an optimal POVM for multiparameter estimation 
Sub Title (in English)  
Keyword(1) Quantum parameter estimation  
Keyword(2) gradient descent  
Keyword(3) optimal POVM  
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1st Author's Name Jianchao Zhang  
1st Author's Affiliation The University of Electro-Communications (UEC)
2nd Author's Name Jun Suzuki  
2nd Author's Affiliation The University of Electro-Communications (UEC)
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Speaker Author-1 
Date Time 2022-12-08 14:00:00 
Presentation Time 60 minutes 
Registration for QIT 
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