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Improving Quantum Multi-Objective Optimization with Archiving and Substitution

arXiv (Cornell University)

Abstract

Finding optimal solutions of conflicting objectives is a daily matter in many industrial applications, with multi-objective optimization trying to find the best solutions to them. The advent of quantum computing has led to researchers wondering if the promised exponential advantage can be obtained for these problems by variational quantum multi-objective optimization (QMOO) algorithm. Here, we improve it by introducing a Pareto Archive and dominated solutions substitution, clearly improving in hyper-volume convergence at additional quantum and classical cost. We propose the use of RMNK-landscapes as a unifying testbed for benchmarking QMOO, as it is common in classical multi-objective field. By devising a generic classical-to-quantum mapping of these landscapes, we perform a numerical hyperparameter tuning of QMOO, significantly enhancing its performance. Finally, we compare QMOO against well-known classical solvers for multi-objective tasks, NSGA-II/III, showing comparable results in small instances. Our results demonstrate that QMOO, when carefully tuned for the task at hand, might be advantageous on harder problems than its classical counterparts.

Authors 6

  1. Leiden University

    Affiliation as printed

    Honda Research Institute Europe GmbH , Carl-Legien-Strasse 30 , 63073 Offenbach am Main , Germany

    LIACS , Universiteit Leiden , Niels Bohrweg 1 , 2333 CA Leiden , Netherlands

  2. Institute of Science Tokyo

    Affiliation as printed

    Honda Research Institute Europe GmbH , Carl-Legien-Strasse 30 , 63073 Offenbach am Main , Germany

    Institute of Science Tokyo , 2-12-1 Ookayama , Meguro , Tokyo , 152-8530 , Japan

  3. Affiliation as printed

    Honda Research Institute Europe GmbH , Carl-Legien-Strasse 30 , 63073 Offenbach am Main , Germany

  4. Leiden University

    Affiliation as printed

    LIACS , Universiteit Leiden , Niels Bohrweg 1 , 2333 CA Leiden , Netherlands

    ⟨aQa L ⟩ Applied Quantum Algorithms , Universiteit Leiden

  5. Thomas Bäck Aachen

    Leiden University

    Affiliation as printed

    LIACS , Universiteit Leiden , Niels Bohrweg 1 , 2333 CA Leiden , Netherlands

  6. Affiliation as printed

    Honda Research Institute Europe GmbH , Carl-Legien-Strasse 30 , 63073 Offenbach am Main , Germany

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