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Modeling of objects with queues of queuing systems using quantum algorithms

Authors: Lazutin A.V.
Published in issue: #6(101)/2025
DOI:


Category: Informatics, Computer Engineering and Control | Chapter: Automation, Control of Technological Processes, and Industrial Control

Keywords: queuing systems, quantum algorithms, queue modeling, increment, decrement, random number generator
Published: 09.12.2025

Modern queuing systems (QMS) face increasing complexity of queue management, especially in high-load conditions. This article explores the use of quantum computing methods and hybrid algorithms for modeling simple objects with queues, which opens up new opportunities for optimizing performance, reducing waiting times and minimizing resource costs. The proposed approach uses quantum circuits and quantum algorithms to speed up calculations. Special attention is paid to hybrid quantum-classical methods that combine the advantages of both approaches. The experiments performed on the quantum computing simulator (Cirq) showed a 25–30% reduction in simulation time compared to classical approaches, and also demonstrated the scalability of the method for large systems.


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