In the context of quantum information theory, “quantization ” of various mathemat-ical and computational constructions is said to occur upon the replacement, at various points in the construction, of the classical randomization notion of probability dis-tribution 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 procedures for extending history dependent Parrondo games, Markov processes and multiplexing circuits to their ”quantum ” versions are analyzed from a game theoretic viewpoi...
Randomness is both a useful way to model natural systems and a useful tool for engineered systems, e...
It is possible to have two games that are losing when played in isolation but that, because of some ...
Bayesian networks and their accompanying graphical models are widely used for prediction and analysi...
A quantum logic gate of particular interest to both electrical engineers and game theorists is the q...
Building on a new definition and characterization of probabilistic event structures, a general def-i...
AbstractBuilding on a new definition and characterization of probabilistic event structures, a gener...
Theory of quantum games is relatively new to the literature and its applications to various areas of...
Building on a new definition and characterization of probabilistic event structures, a general defin...
Quantum game theory is an exciting new topic that combines the physical behaviour of information in ...
This work is mainly based on quantum game-theoretic techniques and their application to quantum info...
AbstractWe discuss the impact of quantum game theory on information processing and the emerging info...
AbstractHere we contract two associated games that consist of tossing biased coins. By using the dis...
Parrondo's paradox arises when two losing games are combined to produce a winning one. A history-dep...
In this paper, we provide an introduction to quantum game theory through discussion of ways of conve...
Attention to the very physical aspects of information characterizes the current research in quantum ...
Randomness is both a useful way to model natural systems and a useful tool for engineered systems, e...
It is possible to have two games that are losing when played in isolation but that, because of some ...
Bayesian networks and their accompanying graphical models are widely used for prediction and analysi...
A quantum logic gate of particular interest to both electrical engineers and game theorists is the q...
Building on a new definition and characterization of probabilistic event structures, a general def-i...
AbstractBuilding on a new definition and characterization of probabilistic event structures, a gener...
Theory of quantum games is relatively new to the literature and its applications to various areas of...
Building on a new definition and characterization of probabilistic event structures, a general defin...
Quantum game theory is an exciting new topic that combines the physical behaviour of information in ...
This work is mainly based on quantum game-theoretic techniques and their application to quantum info...
AbstractWe discuss the impact of quantum game theory on information processing and the emerging info...
AbstractHere we contract two associated games that consist of tossing biased coins. By using the dis...
Parrondo's paradox arises when two losing games are combined to produce a winning one. A history-dep...
In this paper, we provide an introduction to quantum game theory through discussion of ways of conve...
Attention to the very physical aspects of information characterizes the current research in quantum ...
Randomness is both a useful way to model natural systems and a useful tool for engineered systems, e...
It is possible to have two games that are losing when played in isolation but that, because of some ...
Bayesian networks and their accompanying graphical models are widely used for prediction and analysi...