AI 中文总结
本研究通过异构软件栈MQSS将IQM的20比特QPU集成到SuperMUC-NG超算，实现混合HPCQC工作流，该架构可移植至下一代HPE Cray平台，且无显著延迟开销。
AI 中文摘要
本研究在一台量产的千万亿次级系统上演示了混合高性能计算-量子计算（HPCQC）工作流，该演示结合了三个组件：莱布尼茨超算中心（LRZ）的SuperMUC-NG超级计算机、IQM量子计算公司（IQM）提供的20比特超导量子处理器，以及慕尼黑量子谷（MQV）的慕尼黑量子软件栈（MQSS）。将量子处理单元（QPU）集成到高性能计算（HPC）系统中需要异构软件栈，该软件栈需能在现有超算工作流中协调经典与量子资源。MQSS将量子处理单元（QPU）视为调度器管理的加速器，并采用两级调度方案执行资源协调：Slurm通过将QPU暴露为通用资源（GRES）执行系统级分配，而MQSS量子资源管理器与编译器基础设施（QRM&CI）执行即时编译及后续量子电路调度。为在不修改调度器核心的前提下与现有HPC操作集成，MQSS推出了基于Prolog/Epilog脚本和SPANK模块的开源SLURM插件套件。实验结果显示，混合HPCQC工作流的执行不会产生相较于传统工作流的显著延迟开销。所提出的架构为大规模HPC系统上的量子加速器提供了可移植的集成模型，且可直接适用于下一代HPE Cray平台，包括LRZ即将推出的‘Blue Lion’超级计算机。
英文摘要
In this work, we demonstrate hybrid High Performance Computing-Quantum Computing (HPCQC) workflows on a production petascale system. The demonstration combines three components: the SuperMUC-NG supercomputer at the Leibniz Supercomputing Centre (LRZ), a 20-qubit superconducting quantum processor provided by IQM Quantum Computers (IQM), and Munich Quantum Valley (MQV)'s Munich Quantum Software Stack (MQSS). Integrating quantum processors into High Performance Computing (HPC) systems requires a heterogeneous software stack capable of orchestrating classical and quantum resources within established supercomputing workflows. MQSS treats Quantum Processing Units (QPUs) as scheduler-managed accelerators and it performs resource coordination following a two-level scheduling scheme. Slurm performs system-level allocation by exposing QPUs as Generic RESources (GRES), while the MQSS Quantum Resource Manager & Compiler Infrastructure (QRM&CI) performs just-in-time compilation and subsequent dispatch of quantum circuits. To integrate with existing HPC operations without modifying the scheduler core, MQSS introduces an open-source SLURM Plugin Suite based on Prolog/Epilog scripts and SPANK modules. Experimental results show that hybrid HPCQC workflows can be executed without significant latency overhead compared to conventional workloads. The presented architecture provides a portable integration model for quantum accelerators on large-scale HPC systems and is directly applicable to next-generation Hewlett Packard Enterprise (HPE) Cray platforms, including LRZ's upcoming 'Blue Lion' supercomputer.
CommentsPresented at the Cray User Group conference (CUG26). Conditionally accepted for the ACM International Conference Proceedings Series (ICPS)
