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Paper Abstract and Keywords
Presentation 2022-12-09 12:30
Universal cost bound of quantum error mitigation based on quantum estimation theory
Kento Tsubouchi, Takahiro Sagawa, Nobuyuki Yoshioka (UTokyo)
Abstract (in Japanese) (See Japanese page) 
(in English) In this work, we provide a unified way to analyze the cost of various quantum error mitigation methods using the quantum estimation theory. We derive for a wide class of Markovian noise that unbiased estimation of an observable encounters an exponential growth with respect to the circuit depth in the lower bound on the measurement cost. We can asymptotically saturate the bound by a simple mitigation technique for the global depolarizing noise. Our results not only reveal the universal physical limitations of quantum error mitigation, but also provide a new criterion for performance evaluation of quantum error mitigation techniques.
Keyword (in Japanese) (See Japanese page) 
(in English) quantum error mitigation / quantum computation / quantum Fisher information / quantum estimation theory / / / /  
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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 Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Universal cost bound of quantum error mitigation based on quantum estimation theory 
Sub Title (in English)  
Keyword(1) quantum error mitigation  
Keyword(2) quantum computation  
Keyword(3) quantum Fisher information  
Keyword(4) quantum estimation theory  
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1st Author's Name Kento Tsubouchi  
1st Author's Affiliation The University of Tokyo (UTokyo)
2nd Author's Name Takahiro Sagawa  
2nd Author's Affiliation The University of Tokyo (UTokyo)
3rd Author's Name Nobuyuki Yoshioka  
3rd Author's Affiliation The University of Tokyo (UTokyo)
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Speaker Author-1 
Date Time 2022-12-09 12:30:00 
Presentation Time 15 minutes 
Registration for QIT 
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