TY  - CHAP
AU  - Pasetto, Edoardo
AU  - Delilbasic, Amer
AU  - Riedel, Morris
AU  - Cavallaro, Gabriele
AU  - Benediktsson, Jón Atli
TI  - Quantum Computing for Remote Sensing Image Analysis
VL  - 09
CY  - n/a
PB  - WORLD SCIENTIFIC
M1  - FZJ-2025-03963
SN  - 978-981-98-0714-7
T2  - Series in Computer Vision
SP  - 69 - 90
PY  - 2025
AB  - Quantum computing is a research field that aims at developing computational models that leverage quantum phenomena. The growing interest in the field of machine learning as well as the recent development of available quantum hardware has motivated researchers to combine the two research areas, giving rise to the interdisciplinary field of quantum machine learning. This chapter offers an overview of the basic theoretical notions of quantum computing and quantum machine learning as well as how it can be applied in image processing use-cases. Specific attention is given to hybrid quantum-classical models, which combine the capabilities of quantum and classical computing. Some example applications employing both gate-based quantum computing and quantum annealing to real image processing tasks within the field of remote sensing are also illustrated and discussed.
LB  - PUB:(DE-HGF)7
DO  - DOI:10.1142/9789819807154_0004
UR  - https://juser.fz-juelich.de/record/1046796
ER  -