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Quantum Optimization

Airline Fleet Assignment Problems with Binary and Integer Programming models: Classical vs Quantum Annealing

arXiv

Authors: Kuntal Adak, Sakshi Kaushik, Rahul Rana

Year

2026

Paper ID

698

Status

Preprint

Abstract Read

~2 min

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Abstract

This research highlights the potential of quantum annealing in tackling large-scale optimization problems within the airline industry,demonstrating its efficiency for certain problem sizes while also acknowledging its current limitations. The comparative analysis provides valuable insights into the performance of advanced computational techniques, paving the way for further advancements in optimizing fleet assignments in the aviation sector.

Why This Paper Matters

This paper contributes to the Quantum Optimization research area in the Quantum Articles archive.
It adds a 2026 reference point for readers tracking recent quantum research.
This research highlights the potential of quantum annealing in tackling large-scale optimization problems within the airline industry,demonstrating its efficiency for certain...

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References & Citation Signals

[1] DOI https://doi.org/arXiv:2602.12840 [2] arXiv https://arxiv.org/abs/2602.12840 [3] Publisher https://arxiv.org/abs/2602.12840

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