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.
@article{arxiv.2506.10052,
title = {Quantum resources in resource management systems},
author = {Utz Bacher and Mark Birmingham and Christopher D. Carothers and Andrew Damin and Carlos D. Gonzalez Calaza and Ashwin Kumar Karnad and Stefano Mensa and Matthieu Moreau and Aurelien Nober and Munetaka Ohtani and Max Rossmannek and Philippa Rubin and M. Emre Sahin and Oscar Wallis and Amir Shehata and Iskandar Sitdikov and Aleksander Wennersteen},
journal= {arXiv preprint arXiv:2506.10052},
year = {2025}
}