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000909752 1001_ $$0P:(DE-Juel1)171343$$aCavallaro, Gabriele$$b0$$eCorresponding author
000909752 1112_ $$aIEEE International Geoscience and Remote Sensing Symposium (IGARSS)$$cKuala Lumpur$$d2022-07-17 - 2022-07-22$$wMalaysia
000909752 245__ $$aHybrid Quantum-Classical Workflows in Modular Supercomputing Architectures with the Jülich Unified Infrastructure for Quantum Computing
000909752 260__ $$bIEEE$$c2022
000909752 300__ $$a4149-4152
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000909752 520__ $$aThe implementation of scalable processing workflows is essential to improve the access to and analysis of the vast amount of high-resolution and multi-source Remote Sensing (RS) data and to provide decision-makers with timely and valuable information. The Modular Supercomputing Architecture (MSA) systems that are operated by the Jülich Supercomputing Centre (JSC) are a concrete solution for data-intensive RS applications that rely on big data storage and processing capabilities. To meet the requirements of applications with more complex computational tasks, JSC plans to connect the High Performance Computing (HPC) systems of its MSA environment to different quantum computers via the Jülich UNified Infrastructure for Quantum computing (JUNIQ). The paper describes this unique computing environment and highlights its potential to address real RS application scenarios through high-performance and hybrid quantum-classical processing workflows.
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000909752 7001_ $$0P:(DE-Juel1)132239$$aRiedel, Morris$$b1
000909752 7001_ $$0P:(DE-Juel1)132179$$aLippert, Thomas$$b2
000909752 7001_ $$0P:(DE-Juel1)138295$$aMichielsen, Kristel$$b3
000909752 773__ $$a10.1109/IGARSS46834.2022.9883225
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