Pasqal Integrates NVIDIA CUDA-Q with QRMI for Quantum Workloads in Slurm-Based HPC
Pasqal has integrated the NVIDIA CUDA-Q platform with its Quantum Resource Management Interface (QRMI), allowing CUDA-Q workloads to be processed within standard Slurm workflows on Pasqal's quantum systems. This integration facilitates the use of quantum processors as native accelerators in heterogeneous high-performance computing environments. The initiative aims to simplify quantum workload adoption for HPC users. The first deployment is set at CINECA, utilizing the Leonardo supercomputer for hybrid GPU-QPU workloads.
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Pasqal announced the integration of NVIDIA's CUDA-Q with its Quantum Resource Management Interface (QRMI), enabling CUDA-Q workloads to be executed within Slurm-based high-performance computing (HPC) workflows. This integration positions quantum processors as native accelerators in diverse HPC environments, aiming to ease adoption for users.
The first deployment will occur at CINECA, incorporating Pasqal's quantum processing units with the Leonardo supercomputer for hybrid workloads. This milestone aligns with Pasqal's public listing plans through Bleichroeder Acquisition Corp.
II. The integration also supports the development of production-grade hybrid HPC-quantum workflows.
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