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Please use this identifier to cite or link to this item: http://hdl.handle.net/2014/27666

Title: Dynamical Simulation of Probabilities
Authors: Zak, Michail
Issue Date: 1996
Abstract: It has been demonstrated that classical probabilities, and in particular, probabilistic Turing machine, can be simulated by combining chaos and non-Lipschitz dynamics, without utilization of any man-made devices(such as random number generators). Self-orgainizing properties of systems coupling simulated and calculated probabilities and their link to quantum computations are discussed. Special attention was focused upon coupled stochastic processes, defined in terms of conditional probabilities, for which joint probability does not exist. Simulations of quantum probabilities are also discussed.
URI: http://hdl.handle.net/2014/27666
Appears in Collections:JPL TRS 1992+

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