Reference Architecture of a Quantum-Centric Supercomputer
Fuente:
arXiv
Saved in:
| Main Authors: | , , , , , , , , , , , , |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1866918384100179968 |
|---|---|
| author | Seelam, Seetharami Chow, Jerry M. Córcoles, Antonio Sheldon, Sarah Mittal, Tushar Kandala, Abhinav Dague, Sean Hincks, Ian Horii, Hiroshi Johnson, Blake Le, Michael Jamjoom, Hani Gambetta, Jay M. |
| author_facet | Seelam, Seetharami Chow, Jerry M. Córcoles, Antonio Sheldon, Sarah Mittal, Tushar Kandala, Abhinav Dague, Sean Hincks, Ian Horii, Hiroshi Johnson, Blake Le, Michael Jamjoom, Hani Gambetta, Jay M. |
| contents | Quantum computers have demonstrated utility in simulating quantum systems beyond brute-force classical approaches. As the community builds on these demonstrations to explore using quantum computing for applied research, algorithms and workflows have emerged that require leveraging both quantum computers and classical high-performance computing (HPC) systems to scale applications, especially in chemistry and materials, beyond what either system can simulate alone. Today, these disparate systems operate in isolation, forcing users to manually orchestrate workloads, coordinate job scheduling, and transfer data between systems -- a cumbersome process that hinders productivity and severely limits rapid algorithmic exploration. These challenges motivate the need for flexible and high-performance Quantum-Centric Supercomputing (QCSC) systems that integrate Quantum Processing Units (QPUs), Graphics Processing Units (GPUs), and Central Processing Units (CPUs) to accelerate discovery of such algorithms across applications. These systems will be co-designed across quantum and classical HPC infrastructure, middleware, and application layers to accelerate the adoption of quantum computing for solving critical computational problems. We envision QCSC evolution through three distinct phases: (1) quantum systems as specialized compute offload engines within existing HPC complexes; (2) heterogeneous quantum and classical HPC systems coupled through advanced middleware, enabling seamless execution of hybrid quantum-classical algorithms; and (3) fully co-designed heterogeneous quantum-HPC systems for hybrid computational workflows. This article presents a reference architecture and roadmap for these QCSC systems. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2603_10970 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Reference Architecture of a Quantum-Centric Supercomputer Seelam, Seetharami Chow, Jerry M. Córcoles, Antonio Sheldon, Sarah Mittal, Tushar Kandala, Abhinav Dague, Sean Hincks, Ian Horii, Hiroshi Johnson, Blake Le, Michael Jamjoom, Hani Gambetta, Jay M. Emerging Technologies Hardware Architecture Distributed, Parallel, and Cluster Computing Systems and Control Quantum computers have demonstrated utility in simulating quantum systems beyond brute-force classical approaches. As the community builds on these demonstrations to explore using quantum computing for applied research, algorithms and workflows have emerged that require leveraging both quantum computers and classical high-performance computing (HPC) systems to scale applications, especially in chemistry and materials, beyond what either system can simulate alone. Today, these disparate systems operate in isolation, forcing users to manually orchestrate workloads, coordinate job scheduling, and transfer data between systems -- a cumbersome process that hinders productivity and severely limits rapid algorithmic exploration. These challenges motivate the need for flexible and high-performance Quantum-Centric Supercomputing (QCSC) systems that integrate Quantum Processing Units (QPUs), Graphics Processing Units (GPUs), and Central Processing Units (CPUs) to accelerate discovery of such algorithms across applications. These systems will be co-designed across quantum and classical HPC infrastructure, middleware, and application layers to accelerate the adoption of quantum computing for solving critical computational problems. We envision QCSC evolution through three distinct phases: (1) quantum systems as specialized compute offload engines within existing HPC complexes; (2) heterogeneous quantum and classical HPC systems coupled through advanced middleware, enabling seamless execution of hybrid quantum-classical algorithms; and (3) fully co-designed heterogeneous quantum-HPC systems for hybrid computational workflows. This article presents a reference architecture and roadmap for these QCSC systems. |
| title | Reference Architecture of a Quantum-Centric Supercomputer |
| topic | Emerging Technologies Hardware Architecture Distributed, Parallel, and Cluster Computing Systems and Control |
| url | https://arxiv.org/abs/2603.10970 |