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Paper Abstract and Keywords
Presentation 2021-05-24 13:30
[Poster Presentation] Machine Learning of Quantum Circuits Using OTOC
Ryosuke Kutsuzawa, Naoya Kobayashi, Masahiro Fujii (Shizuoka Univ), Yoshifumi Nakata (Tokyo Univ), Yasunari Suzuki (NTT), Masaki Owari (Shizuoka Univ)
Abstract (in Japanese) (See Japanese page) 
(in English) Recently, Alves et al. succeeded a discrimination among Haar measure, 1-design, and 2-design by learning out of time ordered correlators (OTOC) with constitutional neural networks (CNN).
In this study, we investigate whether discriminative models constructed by Alves et al.'s method and those constructed by other methods which are derived by modifying Alves et al's method can classify learning data solely depending on degrees of unitary designs.
For this purpose, we construct discriminative models by learning OTOC of the Haar measure and Random Clifford circuits with those different types of methods, and then, verify whether datasets generated by local random circuits with various different depth are classified
solely depending on their degree of designs.
As a result, we show that Alves et al.'s method does not discriminate data depending on its degree of design, but a method derived by modifying Alves et al's does.
Keyword (in Japanese) (See Japanese page) 
(in English) random quantum circuit / Haar measure / t-design / OTOC / / / /  
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Conference Information
Committee QIT  
Conference Date 2021-05-24 - 2021-05-25 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Quantum Information 
Paper Information
Registration To QIT 
Conference Code 2021-05-QIT 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Machine Learning of Quantum Circuits Using OTOC 
Sub Title (in English)  
Keyword(1) random quantum circuit  
Keyword(2) Haar measure  
Keyword(3) t-design  
Keyword(4) OTOC  
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1st Author's Name Ryosuke Kutsuzawa  
1st Author's Affiliation Shizuoka University (Shizuoka Univ)
2nd Author's Name Naoya Kobayashi  
2nd Author's Affiliation Shizuoka University (Shizuoka Univ)
3rd Author's Name Masahiro Fujii  
3rd Author's Affiliation Shizuoka University (Shizuoka Univ)
4th Author's Name Yoshifumi Nakata  
4th Author's Affiliation Tokyo University (Tokyo Univ)
5th Author's Name Yasunari Suzuki  
5th Author's Affiliation NTT (NTT)
6th Author's Name Masaki Owari  
6th Author's Affiliation Shizuoka University (Shizuoka Univ)
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Speaker Author-1 
Date Time 2021-05-24 13:30:00 
Presentation Time 120 minutes 
Registration for QIT 
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