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Paper Abstract and Keywords
Presentation 2022-12-09 12:15
A highly accurate decoding of the surface code using Ising model solver
Yusaku Takeuchi, Keisuke Fujii (Osaka Univ)
Abstract (in Japanese) (See Japanese page) 
(in English) Decoding of surface codes can be done efficiently using minimum-weight perfect matching (MWPM). However, MWPM is not optimal for correlated X and Z errors, i.e, $Y$ error, such as depolarizing noise.
In this study, wemap the surface code decoding problem to energy minimization problem of the Ising model and propose a decoding method using simulated annealing to solve it. Through a series of numerical simulations, the proposed method achieves higher decoding accuracy than MWPM under depolarizing noise and shows comparable performance to decoding using CPLEX, which solves the combinatorial optimization problem exactly.Special-purpose hardware is now being developed to accelerate the approximate optimization of the Ising problem, and hence further speed-up is expected by using these hardware.
Keyword (in Japanese) (See Japanese page) 
(in English) Surface Code / Ising Model / Simulated Annealing / / / / /  
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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) A highly accurate decoding of the surface code using Ising model solver 
Sub Title (in English)  
Keyword(1) Surface Code  
Keyword(2) Ising Model  
Keyword(3) Simulated Annealing  
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1st Author's Name Yusaku Takeuchi  
1st Author's Affiliation Osaka University (Osaka Univ)
2nd Author's Name Keisuke Fujii  
2nd Author's Affiliation Osaka University (Osaka Univ)
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Speaker Author-1 
Date Time 2022-12-09 12:15:00 
Presentation Time 15 minutes 
Registration for QIT 
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