Workshop: The 1st International Workshop for Software Frameworks and Workload Management on Quantum-HPC Ecosystems
Authors: Waylon Luo (Kent State University), Cheng-Chang Lu (Qradle Inc.), Tong Zhan (Meta Platform), and Qiang Guan (Kent State University)
Abstract: The convergence of quantum computing and high-performance computing (HPC) is giving rise to hybrid cloud platforms that coordinate workflows across classical and quantum resources. These heterogeneous environments introduce new challenges for workload management, including device variability, noise-prone quantum processors, and the need for synchronized orchestration across distributed systems. This survey reviews state-of-the-art techniques for scheduling, resource allocation, and workflow management in classical HPC, quantum clouds, and emerging hybrid infrastructures. A taxonomy is proposed to categorize workload management approaches by scheduling strategy, allocation model, orchestration mechanism, and performance metric. We present \textit{HybridCloudSim}, a novel simulation framework designed to model hybrid quantum–HPC cloud environments and optimize resource usage under realistic constraints. HybridCloudSim is a conceptual foundation and a practical tool for advancing workload management in hybrid quantum–HPC systems.
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