Papers › Quantum resources in resource management systems

Quantum resources in resource management systems

11 Jun 2025arXiv:2506.10052links table onlyarchive 2025-07-28

Utz Bacher, Mark Birmingham, Christopher D. Carothers, Andrew Damin, Carlos D. Gonzalez Calaza, Ashwin Kumar Karnad, Stefano Mensa, Matthieu Moreau, Aurelien Nober, Munetaka Ohtani, Max Rossmannek, Philippa Rubin, M. Emre Sahin, Oscar Wallis, Amir Shehata, Iskandar Sitdikov, Aleksander Wennersteen

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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.

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