The integration of quantum computers within classical High-Performance Computing (HPC) infrastructures is receiving increasing attention, with the former expected to serve as accelerators for specific computational tasks. However, combining HPC and quantum computers presents significant technical challenges, including resource allocation. This paper presents a novel malleability-based approach, alongside a workflow-based strategy, to optimize resource utilization in hybrid HPC-quantum workloads. With both these approaches, we can release classical resources when computations are offloaded to the quantum computer and reallocate them once quantum processing is complete. Our experiments with a hybrid HPC-quantum use case show the benefits of dynamic allocation, highlighting the potential of those solutions.
@article{arxiv.2508.04217,
title = {Dynamic Solutions for Hybrid Quantum-HPC Resource Allocation},
author = {Roberto Rocco and Simone Rizzo and Matteo Barbieri and Gabriella Bettonte and Elisabetta Boella and Fulvio Ganz and Sergio Iserte and Antonio J. Peña and Petter Sandås and Alberto Scionti and Olivier Terzo and Chiara Vercellino and Giacomo Vitali and Paolo Viviani and Jonathan Frassineti and Sara Marzella and Daniele Ottaviani and Iacopo Colonnelli and Daniele Gregori},
journal= {arXiv preprint arXiv:2508.04217},
year = {2026}
}
Comments
7 pages, accepted to QCE25 WIHPQC Workshop (The Fifth International Workshop on Integrating High-Performance and Quantum Computing)