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.
Aircraft Loading Optimization -- QUBO models under multiple constraints
1 Pith paper cite this work. Polarity classification is still indexing.
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.
fields
quant-ph 1years
2025 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
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Quantum Computing in Industrial Environments: Where Do We Stand and Where Are We Headed?
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.