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
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