METHODS AND SOLUTIONS FOR GENERALIZING AMPLITUDE AMPLIFICATION IN QUANTUM ALGORITHMS

METHODS AND SOLUTIONS FOR GENERALIZING AMPLITUDE AMPLIFICATION IN QUANTUM ALGORITHMS

Authors

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

Keywords:

quantum computing, amplitude gain, Grover's algorithm, optimization, quantum noise, hybrid algorithms

Abstract

This paper explores advanced methods for generalizing
amplitude amplification in quantum algorithms beyond the traditional Grover's
Algorithm framework. The study demonstrates how generalized amplitude
amplification improves efficiency across a broader class of quantum search and
optimization problems. Key challenges such as quantum noise, scalability, and
limited quantum resources are addressed through innovative circuit design and adaptive amplification strategies. The proposed methods enable robust and
flexible integration into large-scale quantum applications. This work establishes
a foundation for applying generalized quantum techniques to complex scientific
and industrial problems.

References

Grover, L. K. (1996). A fast quantum mechanical algorithm for database search. In Proceedings of the 28th Annual ACM Symposium on Theory of Computing (pp. 212–219). ACM.

Nielsen, M. A., & Chuang, I. L. (2010). Quantum Computation and Quantum Information (10th anniversary ed.). Cambridge: Cambridge University Press.

Brassard, G., Høyer, P., Mosca, M., & Tapp, A. (2002). Quantum amplitude amplification and estimation. In Contemporary Mathematics (Vol. 305, pp. 53–74). American Mathematical Society.

Ulyanov, S., & Polunin, A. S. (2010). Modeling on a classical computer the quantum decision-making algorithm of Daych. System Analysis in Science and Education, (2), 76–89.

Guzik, V. F., Gushansky, S. M., & Potapov, V. S. (2014). Estimation of the complexity of quantum algorithms. In Proceedings of the International Scientific and Practical Conference. Gelendzhik.

Kasarkin, A. V., & Gushansky, S. M. (2011). Cleansing of entanglement. In Informatics, Modeling, Design Automation: Proceedings of the Third All-Russian School-Seminar of Graduate Students, Students and Young Scientists. Ulyanovsk.

Guzik, V., Gushanskiy, S., Polenov, M., & Potapov, V. (2015). Models of a quantum computer, their characteristics and analysis. In 2015 9th International Conference on Application of Information and Communication Technologies (AICT). Rostov-on-Don. IEEE.

Guzik, V. F., Gushansky, S. M., & Polenov, M. Y. (2015). Realization of components for building an open modular model of quantum computing devices. Informatization and Communication, (1), 44–48.

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Published

2026-05-21

How to Cite

Sh.A.Toirov, & T.E.Xudoyqulov. (2026). METHODS AND SOLUTIONS FOR GENERALIZING AMPLITUDE AMPLIFICATION IN QUANTUM ALGORITHMS. MANAGEMENT AND ECONOMICS SCIENTIFIC RESEARCH JOURNAL, 3(2), 23–26. Retrieved from https://journals.timeedu.uz/index.php/mesr/article/view/108

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