Presentation 2010-03-10
Superconducting Neural Networks and the Application to the 4-Queen Problem
Yusuke MAENAMI, Takeshi ONOMI, Yoshihiro HAYAKAWA, Shigeo SATO, Koji NAKAJIMA,
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Abstract(in English) A combination optimization problem is generally NP difficulty or NP completeness. When problem size becomes large, it is difficult for a von Neumann type computer being the mainstream now to calculate a solution within real time. Many researches using neural networks have been proposed and investigated for solving this problem. Such neural networks have been implemented with the semiconductor circuits. Although the operation speed of the semiconductor circuit has been accelerated by scaling down silicon devices, it is difficult to increase the integration density because of high power density. Compared with a semiconductor circuit, a superconducting circuit has the feature of low power consumption and high-speed processing. The superconducting circuit not only may be able to avoid the problem of the power consumption of a semiconductor circuit, but may be able to realize a still more highly efficient circuit. Our research purpose is to constitute a neural network using a superconducting circuit for solving an optimization problem. A neuron element using a superconductive coupled-SQUID has been already proposed. In this research, we construct a neural network using the coupled-SQUIDs to solve a 4-Queen problem, moreover, we investigate the dynamics in numerical simulations.
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Keyword(in English) combination optimization problems / neural networks / superconducting circuits / SQUID
Paper # NLP2009-172
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Conference Information
Committee NLP
Conference Date 2010/3/2(1days)
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Paper Information
Registration To Nonlinear Problems (NLP)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Superconducting Neural Networks and the Application to the 4-Queen Problem
Sub Title (in English)
Keyword(1) combination optimization problems
Keyword(2) neural networks
Keyword(3) superconducting circuits
Keyword(4) SQUID
1st Author's Name Yusuke MAENAMI
1st Author's Affiliation Laboratory for Brainware, Laboratory for Nanoelectronics and Spintronics Research Institute of Electrical Communication, Tohoku University()
2nd Author's Name Takeshi ONOMI
2nd Author's Affiliation Laboratory for Brainware, Laboratory for Nanoelectronics and Spintronics Research Institute of Electrical Communication, Tohoku University
3rd Author's Name Yoshihiro HAYAKAWA
3rd Author's Affiliation Sendai National College of Technology
4th Author's Name Shigeo SATO
4th Author's Affiliation Laboratory for Brainware, Laboratory for Nanoelectronics and Spintronics Research Institute of Electrical Communication, Tohoku University
5th Author's Name Koji NAKAJIMA
5th Author's Affiliation Laboratory for Brainware, Laboratory for Nanoelectronics and Spintronics Research Institute of Electrical Communication, Tohoku University
Date 2010-03-10
Paper # NLP2009-172
Volume (vol) vol.109
Number (no) 458
Page pp.pp.-
#Pages 5
Date of Issue