Международный журнал Программные продукты и системы

Квантовый генетический алгоритм в задачах моделирования интеллектуального управления и суперкомпьютинг

С.В. Ульянов, Sergey Victorovich Ulyanov, Рябов Н. В., Ryabov N.V.

Published Jun 3, 2019• 3 citations

Abstract

This paper considers the use of the quantum genetic algorithm for automatic selection of the optimum type and kind of correlation in the quantum structure of fuzzy inference.When solving intelligent and cognitive control tasks based on quantum soft computing and the principles of quantum deep machine learning, it is important to choose the type and kind of quantum correlation.It is an additional physical and informational computing resource in the formation of the laws of the time variation of the gains of traditional regulators located at the lower (performing) level of the intelligent control system structure.This approach is essential for the realization of adaptive and self-organizing processes of knowledge bases and guaranteed to achieve the control objectives under contingency control situations.Successful solution of the problem of choosing the type and kind of quantum correlations allows strengthening the successful search for solutions of algorithmically unsolvable problems at the classical control level.A genetic algorithm is a powerful computational intelligence toolkit for random searching of effective solutions for poorly formalized tasks.However, it has a big disadvantage when used on a classic computer: low speed and dependence on the expert's choice of a decision-making space.The paper describes the types of quantum genetic algorithms based on a combination of quantum and classical calculations, and an algorithm consisting only of quantum calculations.In such algorithm, a population can be composed of only one chromosome in a state of superposition.Immersion in the quantum structure of the fuzzy inference quantum genetic algorithm provides a synergistic effect and allows realizing quantum fuzzy inference on a classical processor.The new effect is based on the quantum genetic algorithm extracting information hidden in the classical state laws change over time the gains of traditional regulators on a new unexpected situation control.Such synergistic effect is possible only with end-to-end intellectual information technology of quantum computing and is absent at the classical level of application of the classical computing technology.

DOI: 10.15827/0236-235x.126.181-189

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