%0 Electronic Article
%A Bacher, Utz
%A Birmingham, Mark
%A Carothers, Christopher D.
%A Damin, Andrew
%A Gonzalez Calaza, Carlos Daniel
%A Karnad, Ashwin Kumar
%A Mensa, Stefano
%A Moreau, Matthieu
%A Nober, Aurelien
%A Ohtani, Munetaka
%A Rossmannek, Max
%A Rubin, Philippa
%A Sahin, M. Emre
%A Wallis, Oscar
%A Shehata, Amir
%A Sitdikov, Iskandar
%A Wennersteen, Aleksander
%T Quantum resources in resource management systems
%I arXiv
%M FZJ-2026-00831
%D 2025
%X 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.
%K Quantum Physics (quant-ph) (Other)
%K Distributed, Parallel, and Cluster Computing (cs.DC) (Other)
%K Emerging Technologies (cs.ET) (Other)
%K Software Engineering (cs.SE) (Other)
%K FOS: Physical sciences (Other)
%K FOS: Computer and information sciences (Other)
%F PUB:(DE-HGF)25
%9 Preprint
%R 10.48550/ARXIV.2506.10052
%U https://juser.fz-juelich.de/record/1052194