Aircraft Loading Optimization -- QUBO models under multiple constraints

Giovanni Pilon; Nicola Gugole; Nicola Massarenti

Aircraft Loading Optimization -- QUBO models under multiple constraints

Quantum Physics 2021-02-23 v2

Authors: Giovanni Pilon , Nicola Gugole , Nicola Massarenti

Abstract

In this submission we solve the Aircraft Loading Optimization problem of the Airbus Quantum Computing Challenge. Finding the optimal loading for a plane is a challenging task for classical algorithms, especially because the solution must respect several flight constraints. The contribution of this work is formulating this problem and its constraints in a model based on QUBO equations which are compatible with quantum annealers. We then benchmarked the model on different solvers to evaluate the performances and capabilities of current technologies.

Keywords

quantum annealing quantum algorithms quantum computing

Cite

@article{arxiv.2102.09621,
  title  = {Aircraft Loading Optimization -- QUBO models under multiple constraints},
  author = {Giovanni Pilon and Nicola Gugole and Nicola Massarenti},
  journal= {arXiv preprint arXiv:2102.09621},
  year   = {2021}
}

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