Contribution to a book

FZJ-2025-03963

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Quantum Computing for Remote Sensing Image Analysis

Pasetto, E.FZJ* ; Delilbasic, A.FZJ* ; Riedel, M.FZJ* ; Cavallaro, G.FZJ* ; Benediktsson, J. A.

2025
WORLD SCIENTIFIC n/a
ISBN: 978-981-98-0714-7, 978-981-98-0715-4 (electronic)

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Please use a persistent id in citations: doi:10.1142/9789819807154_0004

Abstract: 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.

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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. AIDAS - Joint Virtual Laboratory for AI, Data Analytics and Scalable Simulation (aidas_20200731) (aidas_20200731)

Appears in the scientific report 2025

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