Accelerating HPC With Quantum Computing: It Is a Software Challenge Too

Schulz, Martin; Ruefenacht, Martin; Kranzlmueller, Dieter und Schulz, Laura Brandon (2022): Accelerating HPC With Quantum Computing: It Is a Software Challenge Too. In: Computing in Science & Engineering, Bd. 24, Nr. 4: S. 60-64

Abstract

With quantum computing (QC) maturing, high-performance computing (HPC) centers are already preparing to host early-phase production versions of such systems. Unlike their experimental predecessors in physics laboratories, with a very small and dedicated user community, this next generation of systems needs to serve a wider user community and must work in concert with existing HPC systems and software stacks. This article describes our vision for an integrated ecosystem that combines existing HPC and evolving quantum software stacks into a single system to enable a common and continuous user experience. This integration comes with several major challenges as quantum systems pose significantly different requirements including increased need for compilation at run time, long optimization times, statistical evaluations of results, and the need to work with few centralized resources. To overcome these challenges, new scheduling approaches on the HPC side and new programming approaches on the QC side are required.

• Dokumententyp: Zeitschriftenartikel
• Fakultät: Mathematik, Informatik und Statistik > Informatik
• Themengebiete: 000 Informatik, Informationswissenschaft, allgemeine Werke > 004 Informatik
• ISSN: 1521-9615
• Sprache: Englisch