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Titolo:
Quantum analog computing
Autore:
Zak, M;
Indirizzi:
CALTECH,a,et Prop Lab, Ultracomp Grp, Ctr Space Microelect Technol, Pasaden CALTECH Pasadena CA USA 91109 Grp, Ctr Space Microelect Technol, Pasaden
Titolo Testata:
CHAOS SOLITONS & FRACTALS
fascicolo: 10, volume: 10, anno: 1999,
pagine: 1583 - 1620
SICI:
0960-0779(199910)10:10<1583:QAC>2.0.ZU;2-S
Fonte:
ISI
Lingua:
ENG
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Physical, Chemical & Earth Sciences
Citazioni:
13
Recensione:
Indirizzi per estratti:
Indirizzo: Zak, M CALTECH,opet Prop Lab, Ultracomp Grp, Ctr Space Microelect Technol,Mail St CALTECH Mail Stop 126-347 Pasadena CA USA 91109 ct Technol, Mail St
Citazione:
M. Zak, "Quantum analog computing", CHAOS SOL F, 10(10), 1999, pp. 1583-1620

Abstract

Quantum analog computing is based upon similarity between mathematical formalism of quantum mechanics and phenomena to be computed. It exploits a dynamical convergence of several competing phenomena to an attractor which canrepresent an extremum of a function, an image, a solution to a system of ODE, or a stochastic process. In this paper, a quantum version of recurrent neural nets (QRN) as an analog computing device is discussed. This concept is introduced by incorporating classical feedback loops into conventional quantum networks. It is shown that the dynamical evolution of such networks,which interleave quantum evolution with measurement and reset operations, exhibit novel dynamical properties. Moreover, decoherence in quantum recurrent networks is less problematic than in conventional quantum network architectures due to the modest phase coherence times needed for network operation. Application of QRN to simulation of chaos, turbulence, NP-problems, as well as data compression demonstrate computational speedup and exponential increase of information capacity. (C) 1999 Elsevier Science Ltd. All rightsreserved.

ASDD Area Sistemi Dipartimentali e Documentali, Università di Bologna, Catalogo delle riviste ed altri periodici
Documento generato il 07/07/20 alle ore 05:52:47