Work

Application of Quantum Computing in Optimization Problems

Year: 2024

Type: article

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.

Source: Modeling Control and Information Technologies

DOI: 10.31713/mcit.2024.033

Authors: Viktor Borysiuk, Olha Michuta

Institution: National University of Water and Environmental Engineering

Language: English

Topic: Quantum Computing Algorithms and Architecture

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: diamond

OpenAlex ID: W4405274656

FWCI: 0.304

Cites: 2

Cited by: 2

Related to: 10