QMIO: A tightly integrated hybrid HPCQC system
Fuente:
arXiv
Guardado en:
| Autores principales: | , , , , , , |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
| _version_ | 1866918034374918144 |
|---|---|
| author | Cacheiro, Javier Sánchez, Álvaro C Rundle, Russell Long, George B Dold, Gavin Friel, Jamie Gómez, Andrés |
| author_facet | Cacheiro, Javier Sánchez, Álvaro C Rundle, Russell Long, George B Dold, Gavin Friel, Jamie Gómez, Andrés |
| contents | High-Performance Computing (HPC) systems are the most powerful tools that we currently have to solve complex scientific simulations. Quantum computing (QC) has the potential to enhance HPC systems by accelerating the execution of specific kernels that can be offloaded to a Quantum Processing Unit (QPU), granting them new capabilities, improving the speed of computation, or reducing energy consumption. In this paper, we present QMIO: a state-of-the-art hybrid HPCQC system, which tightly integrates HPC and QC. We describe its hardware and software components, the integration middleware, and the lessons learned during the design, implementation, and operation of the system. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2505_19267 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | QMIO: A tightly integrated hybrid HPCQC system Cacheiro, Javier Sánchez, Álvaro C Rundle, Russell Long, George B Dold, Gavin Friel, Jamie Gómez, Andrés Quantum Physics Distributed, Parallel, and Cluster Computing Emerging Technologies High-Performance Computing (HPC) systems are the most powerful tools that we currently have to solve complex scientific simulations. Quantum computing (QC) has the potential to enhance HPC systems by accelerating the execution of specific kernels that can be offloaded to a Quantum Processing Unit (QPU), granting them new capabilities, improving the speed of computation, or reducing energy consumption. In this paper, we present QMIO: a state-of-the-art hybrid HPCQC system, which tightly integrates HPC and QC. We describe its hardware and software components, the integration middleware, and the lessons learned during the design, implementation, and operation of the system. |
| title | QMIO: A tightly integrated hybrid HPCQC system |
| topic | Quantum Physics Distributed, Parallel, and Cluster Computing Emerging Technologies |
| url | https://arxiv.org/abs/2505.19267 |