Rethinking Programming Paradigms in the QC-HPC Context

Conference · Wed May 01 04:00:00 EDT 2024

OSTI ID:2376344

Wong, Elaine ^[1]; Caino-Lores, Silvina ^[2]; Chaves Claudino, Daniel ^[1]; Dumitrescu, Eugene ^[1]; Humble, Travis ^[1]; Lopez Alarcon, Sonia ^[3]

---

1. ORNL
2. Centre Inria de L'Universite de Rennes
3. Rochester Institute of Technology, Rochester, NY

Programming for today’s quantum computers is making significant strides toward modern workflows compatible with high performance computing (HPC), but fundamental challenges still remain in the integration of these vastly different technologies. Quantum computing (QC) programming languages share some common ground, as well as their emerging runtimes and algorithmic modalities. In this short paper, we explore avenues of refinement for the quantum processing unit (QPU) in the context of many-tasks management, asynchronous or otherwise, in order to understand the value it can play in linking QC with HPC. Through examples, we illustrate how its potential for scientific discovery might be realized.

• Research Organization: Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
• Sponsoring Organization: USDOE
• DOE Contract Number: AC05-00OR22725
• OSTI ID: 2376344
• Country of Publication: United States
• Language: English