Abstract
In recent years, quantum computing has demon-strated the potential to revolutionize specific algorithms and applications by solving problems exponentially faster than classical computers. However, its widespread adoption for general computing remains a future prospect. This paper discusses the integration of quantum computing within High-Performance Computing (HPC) environments, focusing on a resource management framework designed to streamline quantum simulators' use and enhance runtime performance and efficiency. The proposed framework facilitates hybrid applications' transition from simulation backends to real quantum hardware, optimizing resource utilization and providing a flexible infrastructure for developing and testing quantum algorithms.
| Original language | English |
|---|---|
| Title of host publication | Workshops Program, Posters Program, Panels Program and Tutorials Program |
| Editors | Candace Culhane, Greg T. Byrd, Hausi Muller, Yuri Alexeev, Yuri Alexeev, Sarah Sheldon |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 577-578 |
| Number of pages | 2 |
| ISBN (Electronic) | 9798331541378 |
| DOIs | |
| State | Published - 2024 |
| Event | 5th IEEE International Conference on Quantum Computing and Engineering, QCE 2024 - Montreal, Canada Duration: Sep 15 2024 → Sep 20 2024 |
Publication series
| Name | Proceedings - IEEE Quantum Week 2024, QCE 2024 |
|---|---|
| Volume | 2 |
Conference
| Conference | 5th IEEE International Conference on Quantum Computing and Engineering, QCE 2024 |
|---|---|
| Country/Territory | Canada |
| City | Montreal |
| Period | 09/15/24 → 09/20/24 |
Funding
This research used resources of the Oak Ridge Leadership Computing Facility at the Oak Ridge National Laboratory, which is supported by the Office of Science of the U.S. Department of Energy under Contract No. DE-AC05-00OR22725.
Keywords
- HPC/QC Integration
- High Performance Computing
- Quantum Simulation
- Resource Management
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