Quantum resources in resource management systems
Fuente:
arXiv
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| Autori principali: | , , , , , , , , , , , , , , , , |
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| Natura: | Preprint |
| Pubblicazione: |
2025
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| Soggetti: | |
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| _version_ | 1866908651993694208 |
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| author | Bacher, Utz Birmingham, Mark Carothers, Christopher D. Damin, Andrew Calaza, Carlos D. Gonzalez Karnad, Ashwin Kumar Mensa, Stefano Moreau, Matthieu Nober, Aurelien Ohtani, Munetaka Rossmannek, Max Rubin, Philippa Sahin, M. Emre Wallis, Oscar Shehata, Amir Sitdikov, Iskandar Wennersteen, Aleksander |
| author_facet | Bacher, Utz Birmingham, Mark Carothers, Christopher D. Damin, Andrew Calaza, Carlos D. Gonzalez Karnad, Ashwin Kumar Mensa, Stefano Moreau, Matthieu Nober, Aurelien Ohtani, Munetaka Rossmannek, Max Rubin, Philippa Sahin, M. Emre Wallis, Oscar Shehata, Amir Sitdikov, Iskandar Wennersteen, Aleksander |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2506_10052 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Quantum resources in resource management systems Bacher, Utz Birmingham, Mark Carothers, Christopher D. Damin, Andrew Calaza, Carlos D. Gonzalez Karnad, Ashwin Kumar Mensa, Stefano Moreau, Matthieu Nober, Aurelien Ohtani, Munetaka Rossmannek, Max Rubin, Philippa Sahin, M. Emre Wallis, Oscar Shehata, Amir Sitdikov, Iskandar Wennersteen, Aleksander Quantum Physics Distributed, Parallel, and Cluster Computing Emerging Technologies Software Engineering 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. |
| title | Quantum resources in resource management systems |
| topic | Quantum Physics Distributed, Parallel, and Cluster Computing Emerging Technologies Software Engineering |
| url | https://arxiv.org/abs/2506.10052 |