DocumentCode :
2536123
Title :
Quantum systems versus classical networks
Author :
Civalleri, Pier Paolo ; Gilli, Marco
Author_Institution :
Politecnico di Torino, Italy
fYear :
2004
fDate :
16-19 Aug. 2004
Firstpage :
583
Lastpage :
585
Abstract :
Quantum cellular neural networks are cellular neural networks whose cells are reduced to nano size. Such cells work according to quantum dynamics but interact among themselves in a classical way; moreover they interact with inputs and outputs that can be described in classical circuit terms. Hence follows the necessity of establishing a bridge between concepts of quantum mechanics and of network theory. In this paper we present, as an example, the extension to simple quantum systems of the network concepts of passivity and losslessness.
Keywords :
cellular neural nets; circuit theory; classical mechanics; quantum computing; quantum theory; classical circuit; nanosize cellular networks; network theory; quantum cellular neural networks; quantum dynamics; quantum mechanics; quantum system-classical networks; Analog computers; Bridge circuits; Cellular neural networks; Electromagnetic fields; Integrated circuit interconnections; Neural networks; Quantum mechanics; State-space methods; Telephony; Tensile stress;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Nanotechnology, 2004. 4th IEEE Conference on
Print_ISBN :
0-7803-8536-5
Type :
conf
DOI :
10.1109/NANO.2004.1392427
Filename :
1392427
Link To Document :
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