Application of Quantum Computing in Optimization Problems

Authors

  • Viktor Borysiuk Male
  • Olha Michuta National University of Water and Environmental Engineering

DOI:

https://doi.org/10.31713/MCIT.2024.033

Keywords:

quantum computing, optimization, quantum algorithm, quantum variational algorithm, Grover's search

Abstract

The article examines methods for applying quantum computing to solve optimization problems, which are critical in various fields such as logistics, finance, resource management, energy, and others. The potential of quantum algorithms, such as Grover's algorithm and Variational Quantum Algorithms (VQA), is explored for enhancing computational efficiency compared to classical methods. Quantum computing enables significant acceleration of optimal solution search processes and reduces the complexity of problems through parallel computing and quantum superposition.

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Published

2025-04-25

How to Cite

Borysiuk, V., & Michuta, O. (2025). Application of Quantum Computing in Optimization Problems. Modeling, Control and Information Technologies, (7), 123–124. https://doi.org/10.31713/MCIT.2024.033

Issue

No. 7 (2024): Modeling, control and information technologies

Section

Software engineering and information technologies

License

Copyright (c) 2024 Modeling, Control and Information Technologies: Proceedings of International scientific and practical conference

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

All materials are distributed under the terms of the Creative Commons Attribution 4.0 International License, which allows others to distribute the work with attribution to the authorship of this work and the first publication in this journal.