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OPTIMIZING GLOBAL SEARCH PROBLEMS USING GROVER'S QUANTUM ALGORITHM

Sh. A. ToirovTashkent Institute of Management and EconomicsA.A.SeytnazarovaTashkent Institute of Management and EconomicsT.E.XudoyqulovTashkent Institute of Management and Economics
2026en
ABI

Annotatsiya

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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