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