Background of quantum end-to-end IT application in industry 5.0 / 6.0 and intelligent cognitive control: stochastic mechanics, information geometry, quantum information physics / thermodynamics

Автор: Zrelova Daria P., Tyatyushkina Olga Yu., Ulyanov Sergey V.

Журнал: Сетевое научное издание «Системный анализ в науке и образовании» @journal-sanse

Статья в выпуске: 1, 2023 года.

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The introduction of the concept of a universal Turing machine was the basis for the axiomatics of information processing, and the concept of "information" itself was introduced as an algorithmic definition of a data carrier. The syntax of algorithmic representation of information processes has become the basis for data collection, processing and presentation systems for the decision-making. However, the transition of educational processes in IT from classical to quantum concepts has faced a number of methodological difficulties, one of which is mastering the physical concepts of quantum mechanics, quantum information theory and quantum thermodynamics. Relativistic mechanics with representations of space-time metrics and interpretation of relativistic effects in quantum information theory only increased the difficulties of mastering and practical implementation of Industry 5.0 / 6.0 projects. As a result, the gap between the training of new generation IT specialists was significantly prolonged and it was necessary to significantly revise the education process itself. The article presents the experience of presenting the basics of the description and physical interpretation of quantum processes for IT specialists, developers of control systems and robotics, based on the concepts of classical stochastic mechanics and the theory of random processes, introducing additional concepts and their formalized representations, which follow from the accepted classical form, as necessary.

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Industry 5.0 / 6.0, quantum end-to-end information technologies, quantum control, quantum processes, description and physical interpretation

Короткий адрес: https://sciup.org/14128093

IDR: 14128093

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