Laura Gatti, Rafael Sotelo, Juan Orihuela, Diego Gibert, Renzo D’ambrosio, Federico Fuidio
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引用次数: 0
Abstract
In this article, we tackle the aircraft load optimization problem using classical optimization algorithms and optimization algorithms with QUBO (quadratic unconstrained binary optimization) formulation to run on quantum annealers. The problem is realistic based on plans of a certain aircraft model, the Airbus A330 200F, and can be adapted to other models from other manufacturers. We maximize a characteristic of the combination of containers (unit load device, ULD) to be transported, be it weight, volume, profit, or another, while complying with necessary parameters related to the flight such as the balance of the center of gravity as well as stress in the structure. Finally, examples of the results of different runs on QUBO in the D-Wave simulator are presented.
期刊介绍：
Quantum Information Processing is a high-impact, international journal publishing cutting-edge experimental and theoretical research in all areas of Quantum Information Science. Topics of interest include quantum cryptography and communications, entanglement and discord, quantum algorithms, quantum error correction and fault tolerance, quantum computer science, quantum imaging and sensing, and experimental platforms for quantum information. Quantum Information Processing supports and inspires research by providing a comprehensive peer review process, and broadcasting high quality results in a range of formats. These include original papers, letters, broadly focused perspectives, comprehensive review articles, book reviews, and special topical issues. The journal is particularly interested in papers detailing and demonstrating quantum information protocols for cryptography, communications, computation, and sensing.
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