TY  - CONF
AU  - Cavallaro, Gabriele
AU  - Riedel, Morris
AU  - Lippert, Thomas
AU  - Michielsen, Kristel
TI  - Hybrid Quantum-Classical Workflows in Modular Supercomputing Architectures with the Jülich Unified Infrastructure for Quantum Computing
PB  - IEEE
M1  - FZJ-2022-03383
SP  - 4149-4152
PY  - 2022
AB  - The 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.
T2  - IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
CY  - 17 Jul 2022 - 22 Jul 2022, Kuala Lumpur (Malaysia)
Y2  - 17 Jul 2022 - 22 Jul 2022
M2  - Kuala Lumpur, Malaysia
LB  - PUB:(DE-HGF)8
UR  - <Go to ISI:>//WOS:000920916604078
DO  - DOI:10.1109/IGARSS46834.2022.9883225
UR  - https://juser.fz-juelich.de/record/909752
ER  -