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Государственный
университет "Дубна"

Институт Системного Анализа и Управления
     



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Выпуск 2018 № 1


SOME INTERRELATIONS BETWEEN QUANTUM FEEDBACK CONTROL THEORY, QUANTUM FILTERING AND QUANTUM INFORMATION PROCESSING. PT 1
Ulyanov Sergey, Korenkov Vladimir, Kovalenko Aleksander, Reshetnikov Andrey, Reshetnikov Gennadii, Rizzotto Gian Giovanni, Tanaka Takayuki, Fukuda Toshio - doctor of science in Physics and Mathematics, professor; doctor of technical Science, professor; doctor of science in Physics and Mathematics, professor; PhD in informatics, associate professor; PhD, associate professor; PhD, professor; PhD, professor; PhD, professor
The evolution of a quantum control system can be examined from an information theory point of view. The complex vector entering the quantum evolution is considered as an information source both from the classical and the quantum level. Models of quantum control and filtering are considered.

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MODELS OF QUANTUM INTELLIGENT CONTROL PT.1: EVOLUTION OF CONTROL SYSTEMS BASED ON QUAUNTUM FEEDBACK
Ulyanov Sergey, Kovalenko Alexander, Reshetnikov Andrey, Tanaka Takayuki, Rizzotto Giovanni - doctor of science in Physics and Mathematics, professor; doctor of science in Physics and Mathematics, professor; PhD in informatics, associate professor; PhD, professor; PhD, professor
The evolution of development and the current state of intelligent control systems from the point of view of quantum computing and quantum information theory are considered.

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MODELS OF QUANTUM INTELLIGENT CONTROL PT.2: QUANTUM OPTIMAL CONTROL
Ulyanov Sergey, Kovalenko Alexander, Reshetnikov Andrey, Reshetnikov Gennadii, Tanaka Takayuki, Rizzotto Giovanni - doctor of science in Physics and Mathematics, professor; doctor of science in Physics and Mathematics, professor; PhD in informatics, associate professor; PhD, associate professor; PhD, professor; PhD, professor
The considered evolution of development and the current state of intelligent control systems from the point of view of quantum computing and the theory of quantum information.

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INTRODUCTION IN QUANTUM OPTIMAL CONTROL
Ulyanov Sergey, Kovalenko Alexander, Reshetnikov Andrey , Tanaka Takayuki, Reshetnikov Gennadii, Yamafuji Kazuo - doctor of science in Physics and Mathematics, professor; doctor of science in Physics and Mathematics, professor; PhD in informatics, associate professor; PhD, professor; PhD, associate professor; PhD, professor
This paper describe at the formulation of quantum feedback control theory for continuously observed open quantum systems in a manner that highlights both the similarities and differences between classical and quantum control theory. This paper will involve a discussion of special topics in the field and is meant to provide an overview of current experiments in quantum control.

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BASIC RELATIONS OF QUANTUM INFORMATION THEORY. PT 1: MAIN DEFINITIONS AND PROPOERTIES OF QUANTUM INFORMATION
Ulyanov Sergey, Korenkov Vladimir, Reshetnikov Andrey, Tanaka Takayuki, Rizzotto Giovanni - doctor of science in Physics and Mathematics, professor; doctor of technical science, professor; PhD in informatics, associate professor; PhD, professor; PhD, professor
The evolution of a quantum system can be examined from an information theory point of view. The complex vector entering the quantum evolution is considered as an information source both from the classical and the quantum level.

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BASIC RELATIONS OF QUANTUM INFORMATION THEORY. PT 2: CLASSICAL, QUANTUM AND TOTAL CORRELATIONS IN QUANTUM STATE - MEASURE OF QUANTUM ACCESSIBLE INFORMATION
Ulyanov Sergey, Korenkov Vladimir, Reshetnikov Andrey, Tanaka Takayuki, Fukuda Toshio - doctor of science in Physics and Mathematics, professor; doctor of technical science, professor; PhD in informatics, associate professor; PhD, professor; PhD, professor
The evolution of a quantum system can be examined from an information theory point of view. The complex vector entering the quantum evolution is considered as an information source both from the classical and the quantum level.

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APPLIED QUANTUM SOFT COMPUTING: SUSTAINABLE SW & HW TOOLKIT OF ROBUST INTELLIGENT ROBOTIC CONTROLLERS
Reshetnikov Andrey, Ulyanov Sergey - PhD in Informatics, associate professor; doctor of Science in Physics and Mathematics, professor
A generalized design strategy of intelligent robust control systems based on quantum/soft compu-ting technologies that enhance robustness of hybrid intelligent controllers by supplying a self-organizing capability is described. We stress our attention on the robustness features of intelligent control systems in unpredicted control situations with the simulation of Benchmark.

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