Assessing the Elephant in the Room in Scheduling for Current Hybrid HPC-QC Clusters
Quantum computing resources are among the most promising candidates for extending the computational capabilities of High-Performance Computing (HPC) systems. As a result, HPC-quantum integration has become an increasingly active area of research. While much of the existing literature has focused on software stack integration and quantum circuit compilation, key challenges such as hybrid resource allocation and job scheduling-especially relevant in the current Noisy Intermediate-Scale Quantum era-have received less attention. In this work, we highlight these critical issues in the context of integrating quantum computers with operational HPC environments, taking into account the current maturity and heterogeneity of quantum technologies. We then propose a set of conceptual strategies aimed at addressing these challenges and paving the way for practical HPC-QC integration in the near future.
Authors
- Alberto Scionti (ORCID: https://orcid.org/0000-0002-8138-9403)
- Bartolomeo Montrucchio (ORCID: https://orcid.org/0000-0003-0065-8614)
- Diego Ottaviani (ORCID: https://orcid.org/0000-0002-1946-7351)
- Chiara Vercellino (ORCID: https://orcid.org/0000-0002-0562-3157)
- Paolo Viviani (ORCID: https://orcid.org/0000-0001-8947-9481)
- Giacomo Vitali (ORCID: https://orcid.org/0000-0002-3056-796X)
- Elisabetta Boella (ORCID: https://orcid.org/0000-0003-1970-6794)
- Gabriella Bettonte (ORCID: https://orcid.org/0009-0007-5413-381X)
- Matteo Barbieri (ORCID: https://orcid.org/0000-0001-8524-188X)
- Olivier Terzo (ORCID: https://orcid.org/0000-0001-8482-2607)
- Daniele Gregori (ORCID: https://orcid.org/0000-0002-6137-6453)
- Roberto Rocco (ORCID: https://orcid.org/0000-0002-0223-2900)
- Sara Marzella
- Marco Cipollini
- Jonathan Frassineti
- Fulvio Ganz
Institutions
- Politecnico di Torino (IT)
- Cineca (IT)
- LINKS Foundation (IT)
Publication Details
- Published
- 2025-06-23
- DOI
- https://doi.org/10.1109/dsn-w65791.2025.00059
- Citations
- 1
- Primary Topic
- Distributed and Parallel Computing Systems
- Type
- article
- Field-Weighted Citation Impact
- 1.49