Quantum-Assisted Space Logistics Mission Planning

Fuente: arXiv
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Autori principali: Bahengam, Amiratabak, Miri, Mohammad-Ali, Rupert, R. Joseph, Dyk, Wesley, Chen, Hao
Natura: Preprint
Pubblicazione: 2025
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author Bahengam, Amiratabak
Miri, Mohammad-Ali
Rupert, R. Joseph
Dyk, Wesley
Chen, Hao
author_facet Bahengam, Amiratabak
Miri, Mohammad-Ali
Rupert, R. Joseph
Dyk, Wesley
Chen, Hao
contents Quantum computing provides a novel approach to addressing conventionally intractable issues in large-scale optimization. Space logistics missions require the efficient routing of payloads, spacecraft, and resources across complex networks, often resulting in an exponential growth of the solution space that classical methods cannot efficiently solve. This paper leverages entropy quantum computing to model and solve the space logistics problem as a time-dependent multicommodity network flow, enabling the exploration of large solution spaces. The findings highlight quantum computing's potential to address complex aerospace logistics, demonstrating its suitability for complex interplanetary mission planning.
format Preprint
id arxiv_https___arxiv_org_abs_2501_05046
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Quantum-Assisted Space Logistics Mission Planning
Bahengam, Amiratabak
Miri, Mohammad-Ali
Rupert, R. Joseph
Dyk, Wesley
Chen, Hao
Optimization and Control
Quantum computing provides a novel approach to addressing conventionally intractable issues in large-scale optimization. Space logistics missions require the efficient routing of payloads, spacecraft, and resources across complex networks, often resulting in an exponential growth of the solution space that classical methods cannot efficiently solve. This paper leverages entropy quantum computing to model and solve the space logistics problem as a time-dependent multicommodity network flow, enabling the exploration of large solution spaces. The findings highlight quantum computing's potential to address complex aerospace logistics, demonstrating its suitability for complex interplanetary mission planning.
title Quantum-Assisted Space Logistics Mission Planning
topic Optimization and Control
url https://arxiv.org/abs/2501.05046