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On the Influence of a Quantum Annealer in a Hybrid Optimization Framework for Solving a High-Throughput Scheduling Problem

In: Operations Research Proceedings 2023

Author

Listed:
  • Tobias Seidel

    (Fraunhofer ITWM)

  • Dominik Leib

    (Fraunhofer ITWM)

  • Abhishek Awasthi

    (BASF Digital Solutions GmbH)

  • Michael Bortz

    (Fraunhofer ITWM)

  • Raoul Heese

    (Fraunhofer ITWM)

Abstract

We consider a scheduling problem from an industrially relevant high-throughput laboratory, which we model as a quadratic unconstrained binary optimization problem (QUBO). We are particularly interested in the impact of the D-Wave quantum annealer when solving this QUBO. Due to the limited capabilities of the D-Wave quantum hardware, we propose a quantum-classical hybrid algorithm to obtain a solution. For our study, we replace the quantum annealer in the hybrid algorithm by simulated annealing and compare the results. We find that the quantum annealer is not clearly superior to the simulated annealer, but can improve a local search with suitable perturbations.

Suggested Citation

  • Tobias Seidel & Dominik Leib & Abhishek Awasthi & Michael Bortz & Raoul Heese, 2025. "On the Influence of a Quantum Annealer in a Hybrid Optimization Framework for Solving a High-Throughput Scheduling Problem," Lecture Notes in Operations Research, in: Guido Voigt & Malte Fliedner & Knut Haase & Wolfgang Brüggemann & Kai Hoberg & Joern Meissner (ed.), Operations Research Proceedings 2023, chapter 0, pages 147-153, Springer.
    • Handle: RePEc:spr:lnopch:978-3-031-58405-3_19
    DOI: 10.1007/978-3-031-58405-3_19
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