• 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