CyberIntel ⬡ News
★ Saved ◆ Cyber Reads
← Back ◌ Quantum Computing Mar 26, 2026

Kubernetes-Orchestrated Hybrid Quantum-Classical Workflows

arXiv Quantum Archived Mar 26, 2026 ✓ Full text saved

arXiv:2603.24206v1 Announce Type: new Abstract: Hybrid quantum-classical workflows combine quantum processing units (QPUs) with classical hardware to address computational tasks that are challenging or infeasible for conventional systems alone. Coordinating these heterogeneous resources at scale demands robust orchestration, reproducibility, and observability. Even in the presence of fault-tolerant quantum devices, quantum computing will continue to operate within a broader hybrid ecosystem, whe

Full text archived locally
✦ AI Summary · Claude Sonnet


    Quantum Physics [Submitted on 25 Mar 2026] Kubernetes-Orchestrated Hybrid Quantum-Classical Workflows Mar Tejedor, Michele Grossi, Cenk Tüysüz, Ricardo Rocha, Sofia Vallecorsa Hybrid quantum-classical workflows combine quantum processing units (QPUs) with classical hardware to address computational tasks that are challenging or infeasible for conventional systems alone. Coordinating these heterogeneous resources at scale demands robust orchestration, reproducibility, and observability. Even in the presence of fault-tolerant quantum devices, quantum computing will continue to operate within a broader hybrid ecosystem, where classical infrastructure plays a central role in task scheduling, data movement, error mitigation, and large-scale workflow coordination. In this work, we present a cloud-native framework for managing hybrid quantum-HPC pipelines using Kubernetes, Argo Workflows, and Kueue. Our system unifies CPUs, GPUs, and QPUs under a single orchestration layer, enabling multi-stage workflows with dynamic, resource-aware scheduling. We demonstrate the framework with a proof-of-concept implementation of distributed quantum circuit cutting, showcasing execution across heterogeneous nodes and integration of classical and quantum tasks. This approach highlights the potential for scalable, reproducible, and flexible hybrid quantum-classical computing in cloud-native environments. Comments: 8 pages, 4 figures, 7 listings Subjects: Quantum Physics (quant-ph); Emerging Technologies (cs.ET) Cite as: arXiv:2603.24206 [quant-ph]   (or arXiv:2603.24206v1 [quant-ph] for this version)   https://doi.org/10.48550/arXiv.2603.24206 Focus to learn more Submission history From: Mar Tejedor [view email] [v1] Wed, 25 Mar 2026 11:31:25 UTC (1,302 KB) Access Paper: HTML (experimental) view license Current browse context: quant-ph < prev   |   next > new | recent | 2026-03 Change to browse by: cs cs.ET References & Citations INSPIRE HEP NASA ADS Google Scholar Semantic Scholar Export BibTeX Citation Bookmark Bibliographic Tools Bibliographic and Citation Tools Bibliographic Explorer Toggle Bibliographic Explorer (What is the Explorer?) Connected Papers Toggle Connected Papers (What is Connected Papers?) Litmaps Toggle Litmaps (What is Litmaps?) scite.ai Toggle scite Smart Citations (What are Smart Citations?) Code, Data, Media Demos Related Papers About arXivLabs Which authors of this paper are endorsers? | Disable MathJax (What is MathJax?)
    💬 Team Notes
    Article Info
    Source
    arXiv Quantum
    Category
    ◌ Quantum Computing
    Published
    Mar 26, 2026
    Archived
    Mar 26, 2026
    Full Text
    ✓ Saved locally
    Open Original ↗