OPTIMIZING GLOBAL SEARCH PROBLEMS USING GROVER'S QUANTUM ALGORITHM

OPTIMIZING GLOBAL SEARCH PROBLEMS USING GROVER'S QUANTUM ALGORITHM

Authors

  • Sh.A.Toirov Tashkent Institute of Management and Economics
  • A.A.Seytnazarova Tashkent Institute of Management and Economics
  • T.E.Xudoyqulov Tashkent Institute of Management and Economics

Keywords:

the quantum algorithm, Grover’s method, global optimization, intellectual management.

Abstract

The study examines the use of Grover's quantum algorithm to optimize global search problems, demonstrating its quadratic speedup over classical methods for improved efficiency. The research tackles practical challenges, including quantum noise, scalability, and resource constraints, by proposing innovative solutions. The techniques developed integrate quantum search principles into large-scale optimization tasks across diverse fields. This work lays a foundational framework for applying quantum algorithms to solve complex scientific and industrial problems.

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Published

2026-05-21

How to Cite

Sh.A.Toirov, A.A.Seytnazarova, & T.E.Xudoyqulov. (2026). OPTIMIZING GLOBAL SEARCH PROBLEMS USING GROVER’S QUANTUM ALGORITHM. MANAGEMENT AND ECONOMICS SCIENTIFIC RESEARCH JOURNAL, 3(2), 201–208. Retrieved from https://journals.timeedu.uz/index.php/mesr/article/view/134

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