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Statistical mechanics of a multiconnected Hopfield neural-network model in a transverse field

Journal Article · · Physical Review. E, Statistical Physics, Plasmas, Fluids, and Related Interdisciplinary Topics; (United States)
 [1];  [2]
  1. Chinese Center of Advanced Science and Technology (World Laboratory), P.O. Box 8730, Beijing 100080 (China) Center for Advanced Studies in Science Technology of Microstructures, Nanjing 210093 (China) Department of Physics, Nanjing University, Nanjing 210093 (China)
  2. Chinese Center of Advanced Science and Technology (World Laboratory), P.O. Box 8730, Beijing 100080 (China) Department of Physics, Nanjing University, Nanjing 210093 (China)

The Hopfield neural-network model with [ital p]-spin interactions in the presence of a transverse field is introduced and solved exactly in the limit [ital p][r arrow][infinity]. In the phase diagrams drawn as a function of the temperature, the important results such as reentrance are found, and the effects of the quantum fluctuations on the phase transitions, the retrieval phase, and the storage ratio [alpha] are examined.

OSTI ID:
6869599
Journal Information:
Physical Review. E, Statistical Physics, Plasmas, Fluids, and Related Interdisciplinary Topics; (United States), Journal Name: Physical Review. E, Statistical Physics, Plasmas, Fluids, and Related Interdisciplinary Topics; (United States) Vol. 51:2; ISSN 1063-651X; ISSN PLEEE8
Country of Publication:
United States
Language:
English

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