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Paper Abstract and Keywords
Presentation 2023-12-19 10:45
Quantum annealing with continuous variables for linear regression
Asuka Koura (Chuo Univ), Takashi Imoto, Katsuki Ura (AIST), Yuichiro Matsuzaki (Chuo Univ)
Abstract (in Japanese) (See Japanese page) 
(in English) Linear regression is a supervised learning method that uses known data values to predict unknown data, and it
is a type of data analysis technique. In conventional methods, linear regression was performed using quantum annealing by
approximating variables to discrete values through binary expansion of the variables. However, a drawback of this approach was
the difficulty of improving accuracy without increasing the number of quantum bits. Therefore, we propose linear regression
using continuous-variable quantum annealing. By utilizing bosonic systems, we can directly handle continuous variables
and perform linear regression through quantum annealing. One significant feature is that, by satisfying adiabatic conditions,
accuracy can be ensured without the need to increase the number of quantum devices.
Keyword (in Japanese) (See Japanese page) 
(in English) Quantum Annealing / Linear Regression / / / / / /  
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Conference Information
Committee QIT  
Conference Date 2023-12-17 - 2023-12-19 
Place (in Japanese) (See Japanese page) 
Place (in English) OIST 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Quantum Information 
Paper Information
Registration To QIT 
Conference Code 2023-12-QIT 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Quantum annealing with continuous variables for linear regression 
Sub Title (in English)  
Keyword(1) Quantum Annealing  
Keyword(2) Linear Regression  
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1st Author's Name Asuka Koura  
1st Author's Affiliation Chuo University (Chuo Univ)
2nd Author's Name Takashi Imoto  
2nd Author's Affiliation National Institute of Advanced Industrial Science and Technology (AIST)
3rd Author's Name Katsuki Ura  
3rd Author's Affiliation National Institute of Advanced Industrial Science and Technology (AIST)
4th Author's Name Yuichiro Matsuzaki  
4th Author's Affiliation Chuo University (Chuo Univ)
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Speaker Author-1 
Date Time 2023-12-19 10:45:00 
Presentation Time 15 minutes 
Registration for QIT 
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