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Paper Abstract and Keywords
Presentation 2018-11-26 13:30
[Poster Presentation] Quantum Algorithm for Supervised Deep Learning
Yasuhito Kawano (NTT), Hiroshi Sekigawa (TUS)
Abstract (in Japanese) (See Japanese page) 
(in English) The estimation problem of weights of a feed-forward neural network can be regarded as the problem of solving linear equations with errors. It is similar to the LWE problem, known as a lattice-based NP-hard problem. In this talk, we investigate an application of our quantum algorithm for lattice-based problems to supervised deep learning of feed-forward neural networks.
Keyword (in Japanese) (See Japanese page) 
(in English) Quantum Machine Learning / Quantum Deep Learning / Quantum Artificial Intelligence / Feed-Forward Neural Network / / / /  
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Conference Information
Committee QIT  
Conference Date 2018-11-26 - 2018-11-27 
Place (in Japanese) (See Japanese page) 
Place (in English) The University of Tokyo 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Quantum Information 
Paper Information
Registration To QIT 
Conference Code 2018-11-QIT 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Quantum Algorithm for Supervised Deep Learning 
Sub Title (in English)  
Keyword(1) Quantum Machine Learning  
Keyword(2) Quantum Deep Learning  
Keyword(3) Quantum Artificial Intelligence  
Keyword(4) Feed-Forward Neural Network  
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1st Author's Name Yasuhito Kawano  
1st Author's Affiliation NTT Communication Science Labs. (NTT)
2nd Author's Name Hiroshi Sekigawa  
2nd Author's Affiliation Tokyo University of Science (TUS)
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Speaker Author-1 
Date Time 2018-11-26 13:30:00 
Presentation Time 120 minutes 
Registration for QIT 
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