Bacher, U. ; Birmingham, M. ; Carothers, C. D. ; Damin, A. ; Gonzalez Calaza, C. D.FZJ* ; Karnad, A. K.FZJ* ; Mensa, S. ; Moreau, M. ; Nober, A. ; Ohtani, M. ; Rossmannek, M. ; Rubin, P. ; Sahin, M. E. ; Wallis, O. ; Shehata, A. ; Sitdikov, I. ; Wennersteen, A.

2025
arXiv

Abstract: 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.

Keyword(s): Quantum Physics (quant-ph) ; Distributed, Parallel, and Cluster Computing (cs.DC) ; Emerging Technologies (cs.ET) ; Software Engineering (cs.SE) ; FOS: Physical sciences ; FOS: Computer and information sciences

1. 5111 - Domain-Specific Simulation & Data Life Cycle Labs (SDLs) and Research Groups (POF4-511) (POF4-511)