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@INPROCEEDINGS{Cavallaro:909752,
author = {Cavallaro, Gabriele and Riedel, Morris and Lippert, Thomas
and Michielsen, Kristel},
title = {{H}ybrid {Q}uantum-{C}lassical {W}orkflows in {M}odular
{S}upercomputing {A}rchitectures with the {J}ülich
{U}nified {I}nfrastructure for {Q}uantum {C}omputing},
publisher = {IEEE},
reportid = {FZJ-2022-03383},
pages = {4149-4152},
year = {2022},
abstract = {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.},
month = {Jul},
date = {2022-07-17},
organization = {IEEE International Geoscience and
Remote Sensing Symposium (IGARSS),
Kuala Lumpur (Malaysia), 17 Jul 2022 -
22 Jul 2022},
cin = {JSC},
cid = {I:(DE-Juel1)JSC-20090406},
pnm = {5111 - Domain-Specific Simulation $\&$ Data Life Cycle Labs
(SDLs) and Research Groups (POF4-511) / 5112 - Cross-Domain
Algorithms, Tools, Methods Labs (ATMLs) and Research Groups
(POF4-511)},
pid = {G:(DE-HGF)POF4-5111 / G:(DE-HGF)POF4-5112},
typ = {PUB:(DE-HGF)8},
UT = {WOS:000920916604078},
doi = {10.1109/IGARSS46834.2022.9883225},
url = {https://juser.fz-juelich.de/record/909752},
}