Dynamical simulations of probabilities

✍ Scribed by Michail Zak

• Book ID: 104363669
• Publisher: Elsevier Science
• Year: 1997
• Tongue: English
• Weight: 765 KB
• Volume: 8
• Category: Article
• ISSN: 0960-0779
• DOI: 10.1016/s0960-0779(96)00164-6

✦ Synopsis

It has been demonstrated that classical probabilities, and in particular, the 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-organizing 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.