Quantum resources in resource management systems

TL;DR

This paper proposes a reference architecture and a Slurm plugin to integrate quantum computing resources into HPC systems, enabling unified resource management and hybrid quantum-classical workloads.

Contribution

It introduces a scalable architecture and a Slurm plugin for seamless scheduling of quantum resources within existing HPC infrastructure.

Findings

Successful integration of quantum resources into HPC environments.

Support for heterogeneous quantum backends and hybrid workloads.

Enhanced workload management and resource visibility.

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.