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| Hauptseite > Publikationsdatenbank > Reverse Quantum Annealing for Hybrid Quantum-Classical Satellite Mission Planning > print |
| Hauptseite > Publikationsdatenbank > Reverse Quantum Annealing for Hybrid Quantum-Classical Satellite Mission Planning > print |
| 001 | 1031806 | ||
| 005 | 20250310131248.0 | ||
| 024 | 7 | _ | |a 10.1109/IGARSS53475.2024.10640974 |2 doi |
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| 037 | _ | _ | |a FZJ-2024-05826 |
| 100 | 1 | _ | |a Delilbasic, Amer |0 P:(DE-Juel1)191384 |b 0 |e Corresponding author |u fzj |
| 111 | 2 | _ | |a IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium |c Athens |d 2024-07-07 - 2024-07-12 |w Greece |
| 245 | _ | _ | |a Reverse Quantum Annealing for Hybrid Quantum-Classical Satellite Mission Planning |
| 260 | _ | _ | |c 2024 |b IEEE |
| 300 | _ | _ | |a 432-436 |
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| 520 | _ | _ | |a 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. |
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| 770 | _ | _ | |z 979-8-3503-6032-5 |
| 773 | _ | _ | |a 10.1109/IGARSS53475.2024.10640974 |
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