001     1052194
005     20260122203306.0
024 7 _ |a 10.48550/ARXIV.2506.10052
|2 doi
037 _ _ |a FZJ-2026-00831
100 1 _ |a Bacher, Utz
|0 P:(DE-HGF)0
|b 0
245 _ _ |a Quantum resources in resource management systems
260 _ _ |c 2025
|b arXiv
336 7 _ |a Preprint
|b preprint
|m preprint
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|s 1769065587_21492
|2 PUB:(DE-HGF)
336 7 _ |a WORKING_PAPER
|2 ORCID
336 7 _ |a Electronic Article
|0 28
|2 EndNote
336 7 _ |a preprint
|2 DRIVER
336 7 _ |a ARTICLE
|2 BibTeX
336 7 _ |a Output Types/Working Paper
|2 DataCite
520 _ _ |a Quantum computing resources are increasingly being incorporated into high-performance computing (HPC) environments as co-processors for hybrid workloads. To support this paradigm, quantum devices must be treated as schedulable first-class resources within existing HPC infrastructure. This enables consistent workload management, unified resource visibility, and support for hybrid quantum-classical job execution models. This paper presents a reference architecture and implementation for the integration of quantum computing resources, both on-premises and cloud-hosted into HPC centers via standard workload managers. We introduce a Slurm plugin designed to abstract and control quantum backends, enabling seamless resource scheduling, minimizing queue duplication, and supporting job co-scheduling with classical compute nodes. The architecture supports heterogeneous quantum resources and can be extended to any workload (and container) management systems.
536 _ _ |a 5111 - Domain-Specific Simulation & Data Life Cycle Labs (SDLs) and Research Groups (POF4-511)
|0 G:(DE-HGF)POF4-5111
|c POF4-511
|f POF IV
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588 _ _ |a Dataset connected to DataCite
650 _ 7 |a Quantum Physics (quant-ph)
|2 Other
650 _ 7 |a Distributed, Parallel, and Cluster Computing (cs.DC)
|2 Other
650 _ 7 |a Emerging Technologies (cs.ET)
|2 Other
650 _ 7 |a Software Engineering (cs.SE)
|2 Other
650 _ 7 |a FOS: Physical sciences
|2 Other
650 _ 7 |a FOS: Computer and information sciences
|2 Other
700 1 _ |a Birmingham, Mark
|0 P:(DE-HGF)0
|b 1
700 1 _ |a Carothers, Christopher D.
|0 P:(DE-HGF)0
|b 2
700 1 _ |a Damin, Andrew
|0 P:(DE-HGF)0
|b 3
700 1 _ |a Gonzalez Calaza, Carlos Daniel
|0 P:(DE-Juel1)171436
|b 4
|u fzj
700 1 _ |a Karnad, Ashwin Kumar
|0 P:(DE-Juel1)199834
|b 5
|u fzj
700 1 _ |a Mensa, Stefano
|0 P:(DE-HGF)0
|b 6
700 1 _ |a Moreau, Matthieu
|0 P:(DE-HGF)0
|b 7
700 1 _ |a Nober, Aurelien
|0 P:(DE-HGF)0
|b 8
700 1 _ |a Ohtani, Munetaka
|0 P:(DE-HGF)0
|b 9
700 1 _ |a Rossmannek, Max
|0 P:(DE-HGF)0
|b 10
700 1 _ |a Rubin, Philippa
|0 P:(DE-HGF)0
|b 11
700 1 _ |a Sahin, M. Emre
|0 P:(DE-HGF)0
|b 12
700 1 _ |a Wallis, Oscar
|0 P:(DE-HGF)0
|b 13
700 1 _ |a Shehata, Amir
|0 P:(DE-HGF)0
|b 14
700 1 _ |a Sitdikov, Iskandar
|0 P:(DE-HGF)0
|b 15
700 1 _ |a Wennersteen, Aleksander
|0 P:(DE-HGF)0
|b 16
773 _ _ |a 10.48550/ARXIV.2506.10052
856 4 _ |u https://juser.fz-juelich.de/record/1052194/files/2506.10052v2.pdf
|y Restricted
909 C O |o oai:juser.fz-juelich.de:1052194
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910 1 _ |a Forschungszentrum Jülich
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910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
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|6 P:(DE-Juel1)199834
913 1 _ |a DE-HGF
|b Key Technologies
|l Engineering Digital Futures – Supercomputing, Data Management and Information Security for Knowledge and Action
|1 G:(DE-HGF)POF4-510
|0 G:(DE-HGF)POF4-511
|3 G:(DE-HGF)POF4
|2 G:(DE-HGF)POF4-500
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|v Enabling Computational- & Data-Intensive Science and Engineering
|9 G:(DE-HGF)POF4-5111
|x 0
920 _ _ |l yes
980 1 _ |a EXTERN4VITA
980 _ _ |a preprint
980 _ _ |a EDITORS
980 _ _ |a I:(DE-Juel1)JSC-20090406


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