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
Link To Document :
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