• DocumentCode
    2980739
  • Title

    A game theoretic approach to quantizing Markov processese

  • Author

    Bleiler, Steven ; Khan, Faisal Shah

  • Author_Institution
    Portland State Univ., Portland, OR, USA
  • fYear
    2011
  • fDate
    19-22 Feb. 2011
  • Firstpage
    146
  • Lastpage
    149
  • Abstract
    In the context of quantum information theory, “quantization” of various mathematical constructions is said to occur upon the replacement, at various points in the construction, of the classical randomization notion of probability distribution with higher order randomization notions from quantum mechanics such as quantum superposition with measurement. For this to be done “properly”, a faithful copy of the original construction is required to exist within the new “quantum” one, just as is required when a function is extended to a larger domain. Here, Markov processes that serve as mathematical models of history dependent Parrondo games are quantized properly.
  • Keywords
    Markov processes; game theory; information theory; quantum theory; statistical distributions; Markov process quantification; game theoretic approach; probability distribution; quantum information theory; quantum mechanics; quantum superposition; Games; History; Markov processes; Probability distribution; Quantization; Stationary state; Markov processes; Parrondo games; Quantum information; quantum games; qubits;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    GCC Conference and Exhibition (GCC), 2011 IEEE
  • Conference_Location
    Dubai
  • Print_ISBN
    978-1-61284-118-2
  • Type

    conf

  • DOI
    10.1109/IEEEGCC.2011.5752490
  • Filename
    5752490