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Quantum-Enhanced Control of a Tandem Queue System

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Performance Evaluation Methodologies and Tools (VALUETOOLS 2023)

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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.

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Notes

  1. 1.

    https://docs.dwavesys.com/docs/latest/c_qpu_timing.html.

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Acknowledgements

We thankfully acknowledge funding by the Hellenic Foundation for Research and Innovation through the STREAMSTORE faculty grant (GrantID HFRI-FM17-1998)

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Authors and Affiliations

  1. Institute of Computer Science, Foundation for Research and Technology - Hellas (FORTH), Heraklion, Greece

    George T. Stamatiou & Kostas Magoutis

  2. Computer Science Department, University of Crete, Heraklion, Greece

    Kostas Magoutis

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  1. George T. Stamatiou
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  2. Kostas Magoutis
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Correspondence to George T. Stamatiou .

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Editors and Affiliations

  1. University of Cambridge, Cambridge, UK

    Evangelia Kalyvianaki

  2. University of Southern California, Los Angeles, CA, USA

    Marco Paolieri

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Stamatiou, G.T., Magoutis, K. (2024). Quantum-Enhanced Control of a Tandem Queue System. In: Kalyvianaki, E., Paolieri, M. (eds) Performance Evaluation Methodologies and Tools. VALUETOOLS 2023. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 539. Springer, Cham. https://doi.org/10.1007/978-3-031-48885-6_7

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  • DOI: https://doi.org/10.1007/978-3-031-48885-6_7

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