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Performance Evaluation Methodologies and Tools. 16th EAI International Conference, VALUETOOLS 2023, Crete, Greece, September 6–7, 2023, Proceedings

Research Article

Quantum-Enhanced Control of a Tandem Queue System

Cite
BibTeX Plain Text
  • @INPROCEEDINGS{10.1007/978-3-031-48885-6_7,
        author={George T. Stamatiou and Kostas Magoutis},
        title={Quantum-Enhanced Control of a Tandem Queue System},
        proceedings={Performance Evaluation Methodologies and Tools. 16th EAI International Conference, VALUETOOLS 2023, Crete, Greece, September 6--7, 2023, Proceedings},
        proceedings_a={VALUETOOLS},
        year={2024},
        month={1},
        keywords={Model predictive control Quantum annealing Tandem queue system},
        doi={10.1007/978-3-031-48885-6_7}
    }
    
  • George T. Stamatiou
    Kostas Magoutis
    Year: 2024
    Quantum-Enhanced Control of a Tandem Queue System
    VALUETOOLS
    Springer
    DOI: 10.1007/978-3-031-48885-6_7
George T. Stamatiou1,*, Kostas Magoutis1
  • 1: Institute of Computer Science
*Contact email: stamatiou@ics.forth.gr

Abstract

Controlling computer systems in an optimal way using quantum devices is an important step towards next generation infrastructures that will be able to harness the advantages of quantum computing. While the implications are promising, there is a need for evaluating new such approaches and tools in comparison with prevalent classical alternatives. In this work we contribute in this direction by studying the stabilization and control of a tandem queue system, an exemplary model of a computer system, using model predictive control and quantum annealing. The control inputs are obtained from the minimization of an appropriately constructed cost function and the optimal control problem is converted into a quadratic unconstrained binary optimization problem to be solved by the quantum annealer. We find that as the prediction horizon increases and the core optimization problem becomes complicated, the quantum-enhanced solution is preferable over classical simulated annealing. Moreover, there is a trade-off one should consider in terms of variations in the obtained results, quantum computation times and end-to-end communication times. This work shows a way for further experimentation and exploration of new directions and challenges and underscores the experience gained through utilization of the state-of-the-art quantum devices.

Keywords
Model predictive control Quantum annealing Tandem queue system
Published
2024-01-03
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-031-48885-6_7
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