APPLICATION OF QUANTUM ALGORITHMS IN OPTIMIZATION OF COGNITIVE DECISION-MAKING SYSTEMS

Authors

Noilakhon Yakubova, Tashkent State Technical University, Address: 2 Universitetskaya st., 100095, Tashkent city, Republic of Uzbekistan. E-mail: yakubova.noila@gmail.com, Phone: +998946853505.Follow

Abstract

The article analyzes the potential of quantum algorithms for optimizing cognitive decision-making systems in production processes in the energy sector. Compared with traditional algorithms, quantum algorithms allow high-speed processing of large amounts of variable data in real time and solving multiparameter problems based on an integrated approach. The study considers uncertainties and issues of increasing efficiency in the processes of production and distribution of electricity using a cognitive model. The integration of quantum algorithms into this model allows developing optimal strategies for using resources in production. A heating boiler was taken as a control object, and taking into account its multidimensionality and multi-connectedness, the problem of modeling an intelligent control system using quantum algorithms was solved.

First Page

54

Last Page

59

References

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Recommended Citation

Yakubova, Noilakhon (2025) "APPLICATION OF QUANTUM ALGORITHMS IN OPTIMIZATION OF COGNITIVE DECISION-MAKING SYSTEMS," Chemical Technology, Control and Management: Vol. 2025: Iss. 2, Article 8.
DOI: https://doi.org/10.59048/2181-1105.1658