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001046796 1001_ $$0P:(DE-Juel1)191143$$aPasetto, Edoardo$$b0$$ufzj
001046796 245__ $$aQuantum Computing for Remote Sensing Image Analysis
001046796 260__ $$an/a$$bWORLD SCIENTIFIC$$c2025
001046796 29510 $$aPattern Recognition and Computer Vision in the New AI Era
001046796 300__ $$a69 - 90
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001046796 4900_ $$aSeries in Computer Vision$$v09
001046796 520__ $$aQuantum computing is a research field that aims at developing computational models that leverage quantum phenomena. The growing interest in the field of machine learning as well as the recent development of available quantum hardware has motivated researchers to combine the two research areas, giving rise to the interdisciplinary field of quantum machine learning. This chapter offers an overview of the basic theoretical notions of quantum computing and quantum machine learning as well as how it can be applied in image processing use-cases. Specific attention is given to hybrid quantum-classical models, which combine the capabilities of quantum and classical computing. Some example applications employing both gate-based quantum computing and quantum annealing to real image processing tasks within the field of remote sensing are also illustrated and discussed.
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001046796 7001_ $$0P:(DE-Juel1)191384$$aDelilbasic, Amer$$b1$$ufzj
001046796 7001_ $$0P:(DE-Juel1)132239$$aRiedel, Morris$$b2$$ufzj
001046796 7001_ $$0P:(DE-Juel1)171343$$aCavallaro, Gabriele$$b3$$ufzj
001046796 7001_ $$0P:(DE-HGF)0$$aBenediktsson, Jón Atli$$b4
001046796 773__ $$a10.1142/9789819807154_0004
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001046796 9141_ $$y2025
001046796 9201_ $$0I:(DE-Juel1)JSC-20090406$$kJSC$$lJülich Supercomputing Center$$x0
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