TY  - CONF
AU  - Delilbasic, Amer
AU  - Le Saux, Bertrand
AU  - Riedel, Morris
AU  - Michielsen, Kristel
AU  - Cavallaro, Gabriele
TI  - Quantum Annealing for Semantic Segmentation in Remote Sensing: Potential and Limitations
PB  - IEEE
M1  - FZJ-2024-05101
SP  - 376-380
PY  - 2024
AB  - Quantum Annealing (QA) is a powerful method for combinatorial optimisation derived from adiabatic quantum computation. The development of computing devices implementing QA accelerated its adoption in practical use cases. In this paper, we summarise the main features and limitations of QA and its application to remote sensing, specifically to semantic segmentation. We provide indications for successfully applying it to real problems, and techniques for improving its performance. This overview can support practitioners in the adoption of this innovative computing technology.
T2  - 2024 IEEE Mediterranean and Middle-East Geoscience and Remote Sensing Symposium (M2GARSS)
CY  - 15 Apr 2024 - 17 Apr 2024, Oran (Algeria)
Y2  - 15 Apr 2024 - 17 Apr 2024
M2  - Oran, Algeria
LB  - PUB:(DE-HGF)8
DO  - DOI:10.1109/M2GARSS57310.2024.10537465
UR  - https://juser.fz-juelich.de/record/1029393
ER  -