Optimization of Flight Routes: Quantum Approximate Optimization Algorithm for the Tail Assignment Problem

Autor:	Gili, Marta, Sebastian, Paul San, Blázquez-García, Ane
Rok vydání:	2024
Předmět:	Quantum Physics
Druh dokumentu:	Working Paper
Popis:	The Tail Assignment Problem (TAP) is a critical optimization challenge in airline operations, requiring the optimal assignment of aircraft to scheduled flights to maximize efficiency and minimize costs. To address the TAP, this work applies the Quantum Approximate Optimization Algorithm (QAOA), a promising quantum computing algorithm developed for tackling complex combinatorial optimization problems. A detailed formulation of the TAP is provided and QAOA's performance is evaluated on realistic problem instances, examining its strengths and weaknesses. Additionally, QAOA is compared with classical methods such as brute force and branch-and-price, as well as Quantum Annealing (QA), another quantum approach. The analysis reveals the current limitations of quantum hardware but suggests potential advantages as technology advances. Comment: 9 pages, 10 figures
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2412.12773 Zobrazit plný text záznamu View this record from Arxiv