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Aircraft Loading Optimization -- QUBO models under multiple constraints

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arxiv 2102.09621 v2 pith:EJ3U6FN5 submitted 2021-02-16 quant-ph

classification quant-ph
keywords constraintsloadingaircraftmodeloptimizationproblemquantumqubo
verification ladder T0 review T1 audit T2 compute T3 formal

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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.

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Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Quantum Computing in Industrial Environments: Where Do We Stand and Where Are We Headed?

    quant-ph 2025-05 unverdicted novelty 1.0 of 10

    A review of quantum computing for industrial optimization that summarizes existing approaches and introduces a web demonstrator for job-shop scheduling, without presenting new research results.

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