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Paper Abstract and Keywords
Presentation 2023-12-17 17:30
[Poster Presentation] Reducing Quantum Communication Complexity of Linear Regression
Sayaki Matsushita (Nagoya)
Abstract (in Japanese) (See Japanese page) 
(in English) Quantum coordinator model is a model that has a referee and multiple parties that can only communicate with the referee. For linear regression on Quantum coordinator model when each party has some pairs of dependent variables and an independent variable, A. Montanaro and C. Shao have made use of Hamiltonian Simulation and Gapped Phase Estimation. In this paper, I can reduce quantum communication complexity using Quantum Singular Value Discrimination developed by S. Chakraborty et al. when the norm of dependent-variable matrix is up to 1.
Keyword (in Japanese) (See Japanese page) 
(in English) Quantum singular value transformation / Linear regression / Quantum communication complexity / / / / /  
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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) Reducing Quantum Communication Complexity of Linear Regression 
Sub Title (in English)  
Keyword(1) Quantum singular value transformation  
Keyword(2) Linear regression  
Keyword(3) Quantum communication complexity  
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1st Author's Name Sayaki Matsushita  
1st Author's Affiliation Nagoya University (Nagoya)
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Speaker Author-1 
Date Time 2023-12-17 17:30:00 
Presentation Time 120 minutes 
Registration for QIT 
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