Art

J-GLOBAL ID：201402224024195969   Reference number：14A0409099

Neuron Circuit Using Coupled SQUIDs Gate with Flat Output Characteristics for Superconducting Neural Network

超伝導ニューラルネットワークのための平坦な出力特性を持つ結合型SQUIDゲートを用いたニューロン回路

Author (2)： ONOMI Takeshi (Lab. for Brainware Systems/Nanoelectronics and Spintronics, Res. Inst. of Electrical Communication, Tohoku Univ.) ,  NAKAJIMA Koji (Lab. for Brainware Systems/Nanoelectronics and Spintronics, Res. Inst. of Electrical Communication, Tohoku Univ.)
Material： IEICE Transactions on Electronics (Institute of Electronics, Information and Communication Engineers)  (IEICE Trans Electron (Inst Electron Inf Commun Eng))
Volume： E97-C  Issue： 3  Page： 173-177 (J-STAGE)  Publication year： 2014 
JST Material Number： L1370A  ISSN： 0916-8524  Document type： Article
Article type： 原著論文  Country of issue： Japan (JPN)  Language： ENGLISH (EN)

Thesaurus term： Superconductivity ,  *neural network (biomodel) ,  *SQUID ,  *neuron ,  activation ,  combinatorial optimization problem ,  flatness (property) ,  cascade connection ,  niobium ,  simulation
Semi thesaurus term： dynamic simulation

JST classification (2)： Josephson junction and elements  (BM04043E) ,  Other superconducting applications  (BM04044V)

Reference (8)：

• [1] J.J. Hopfield and D.W. Tank, ““Neural” computation of decisions in optimization problems,” Biol. Cybern., vol.52, no.3, pp.141-152, July 1985.
• [2] T. Onomi, M. Maenami, and K. Nakajima, “Superconducting neural network for solving a combinatorial optimization problem,” IEEE Trans. Appl. Superconduct., vol.21, no.3, pp.701-704, June 2011.
• [3] Y. Mizugaki, K. Nakajima, Y. Sawada, and T. Yamashita, “Implementation of new superconducting neural circuits using coupled SQUIDs,” IEEE Trans. Appl. Superconduct., vol.4, no.1, pp.1-8, March 1994.
• [4] S. Nagasawa, Y. Hashimoto, H. Numata, and S. Tahara, “A 380ps, 9.5mW Josephson 4-K bit RAM operated at a high bit yield,” IEEE Trans. Appl. Superconduct., vol.5, pp.2447-2452, June 1995.
• [5] Y. Takefuji and K.C. Lee, “Artificial neural network for four-coloring map problems and K-colorability problems,” IEEE Trans. Circuits Syst., vol.38, no.3, pp.326-333, March 1991.

Terms in the title (6)： 伝導 ,  ニューラルネットワーク ,  出力特性 ,  SQUID ,  ゲート ,  ニューロン