Contribution to a conference proceedings

FZJ-2024-05826

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Reverse Quantum Annealing for Hybrid Quantum-Classical Satellite Mission Planning

Delilbasic, A. (Corresponding author)FZJ* ; Le Saux, B. ; Riedel, M.FZJ* ; Michielsen, K.FZJ* ; Cavallaro, G.FZJ*

2024
IEEE

This record in other databases:  

Please use a persistent id in citations: doi:10.1109/IGARSS53475.2024.10640974  doi:10.34734/FZJ-2024-05826

Abstract: The trend of building larger and more complex imaging satellite constellations leads to the challenge of managing multiple acquisition requests for the Earth's surface. Optimally planning these acquisitions is an intractable optimization problem, and heuristic algorithms are used today to find sub-optimal solutions. Recently, quantum algorithms have been considered for this purpose due to the potential breakthroughs they can bring in optimization, expecting either a speedup or an increase in solution quality. Hybrid quantum-classical methods have been considered a short-term solution for taking advantage of small quantum machines. In this paper, we propose reverse quantum annealing as a method for improving the acquisition plan obtained by a classical optimizer. We investigate the benefits of the method with different annealing schedules and different problem sizes. The obtained results provide guidelines for designing a larger hybrid quantum-classical framework based on reverse quantum annealing for this application.

---

Contributing Institute(s):

1. Jülich Supercomputing Center (JSC)

Research Program(s):

1. 5111 - Domain-Specific Simulation & Data Life Cycle Labs (SDLs) and Research Groups (POF4-511) (POF4-511)
2. RAISE - Research on AI- and Simulation-Based Engineering at Exascale (951733) (951733)
3. EUROCC-2 (DEA02266) (DEA02266)

Appears in the scientific report 2024

---

Database coverage:

---