Quantum Hopfield Model

dc.creatorNonomura, Yoshihiko
dc.creatorNishimori, Hidetoshi
dc.date1995-12-21
dc.date1996-03-07
dc.date.accessioned2026-07-07T08:59:01Z
dc.date.available2026-07-07T08:59:01Z
dc.descriptionThe Hopfield model in a transverse field is investigated in order to clarify how quantum fluctuations affect the macroscopic behavior of neural networks. Using the Trotter decomposition and the replica method, we find that the $α$ (the ratio of the number of stored patterns to the system size)-$Δ$ (the strength of the transverse field) phase diagram of this model in the ground state resembles the $α$-$T$ phase diagram of the Hopfield model quantitatively, within the replica-symmetric and static approximations. This fact suggests that quantum fluctuations play quite similar roles to thermal fluctuations in neural networks as long as macroscopic properties are concerned.
dc.description11 pages, 1 compressed/uuencoded postscript figure, revtex
dc.identifierhttps://arxiv.org/abs/cond-mat/9512142
dc.identifierhttp://arxiv.org/abs/cond-mat/9512142
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/147552
dc.subjectCondensed Matter
dc.titleQuantum Hopfield Model
dc.typetext

Files

Collections