Evaluating The Performance of Quantum Annealers and Classical Optimizers in Aircraft Container Loading Problem : A Feasibility Study
ORAL
Abstract
We demonstrate an effective application of quantum annealers with forward and reverse annealing techniques in solving the Aircraft Loading Optimization problem. Load balancing problem in air cargo has high impact in terms of safety and profitability of airlines and therefore loading of each aircraft must carefully be planned. The study here also addresses comparative analysis of performance of quantum vs classical Pyomo and Greedy solvers. Our results indicate that the quality of solutions returned by classical solvers Pyomo and Greedy solvers and the performance is faster than the quantum annealers.
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Presenters
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Salvatore Sinno
Enterprise Computing Solutions, Unisys, Enterprise computing Solutions, Unisys
Authors
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Salvatore Sinno
Enterprise Computing Solutions, Unisys, Enterprise computing Solutions, Unisys
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Salvatore Sinno
Enterprise Computing Solutions, Unisys, Enterprise computing Solutions, Unisys
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Manav Babel
National Quantum Computing Center
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Nicholas Chancellor
Newcastle University
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Thomas Groß
Newcastle University
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David Headley
Newcastle University
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Alan Mott
Enterprise Computing Solution, Unisys
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Konstantinos Georgopoulos
National Quantum Computing Centre