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| Main Authors: | , , , , , , |
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| Format: | Preprint |
| Published: |
2025
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2509.06205 |
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| _version_ | 1866918137330401280 |
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| author | Rallis, Konstantinos Liliopoulos, Ioannis Varsamis, Georgios D. Tsipas, Evangelos Karafyllidis, Ioannis G. Sirakoulis, Georgios Ch. Dimitrakis, Panagiotis |
| author_facet | Rallis, Konstantinos Liliopoulos, Ioannis Varsamis, Georgios D. Tsipas, Evangelos Karafyllidis, Ioannis G. Sirakoulis, Georgios Ch. Dimitrakis, Panagiotis |
| contents | The connection and eventual integration of High-Performance Computing (HPC) with Quantum Computing (QC) represents a transformative advancement in computational technology, promising significant enhancements in solving complex, previously intractable problems. This manuscript provides a comprehensive overview of the current state of HPC-QC interfacing, detailing architectural methodologies, software stack developments, middleware functionalities, and hardware integration strategies. It critically assesses existing hardware-level integration models, ranging from standalone and loosely-coupled architectures to tightly-integrated and on-node systems. The software ecosystem is analyzed, highlighting prominent frameworks such as Qiskit, PennyLane, CUDA-Q, and middleware solutions like Pilot-Quantum, essential for seamless hybrid computing environments. Furthermore, the manuscript discusses practical applications in optimization, machine learning, and many-body dynamics, where hybrid HPC-QC systems can offer substantial advantages. It also describes existing challenges, including hardware limitations (coherence, scalability, connectivity), software maturity, communication overhead, resource management complexities, and cost factors. Finally, future directions towards tighter hardware and software integration are discussed, emphasizing ongoing research developments and emerging trends that promise to expand the capabilities and accessibility of hybrid HPC-QC systems. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2509_06205 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Interfacing Quantum Computing Systems with High-Performance Computing Systems: An Overview Rallis, Konstantinos Liliopoulos, Ioannis Varsamis, Georgios D. Tsipas, Evangelos Karafyllidis, Ioannis G. Sirakoulis, Georgios Ch. Dimitrakis, Panagiotis Quantum Physics The connection and eventual integration of High-Performance Computing (HPC) with Quantum Computing (QC) represents a transformative advancement in computational technology, promising significant enhancements in solving complex, previously intractable problems. This manuscript provides a comprehensive overview of the current state of HPC-QC interfacing, detailing architectural methodologies, software stack developments, middleware functionalities, and hardware integration strategies. It critically assesses existing hardware-level integration models, ranging from standalone and loosely-coupled architectures to tightly-integrated and on-node systems. The software ecosystem is analyzed, highlighting prominent frameworks such as Qiskit, PennyLane, CUDA-Q, and middleware solutions like Pilot-Quantum, essential for seamless hybrid computing environments. Furthermore, the manuscript discusses practical applications in optimization, machine learning, and many-body dynamics, where hybrid HPC-QC systems can offer substantial advantages. It also describes existing challenges, including hardware limitations (coherence, scalability, connectivity), software maturity, communication overhead, resource management complexities, and cost factors. Finally, future directions towards tighter hardware and software integration are discussed, emphasizing ongoing research developments and emerging trends that promise to expand the capabilities and accessibility of hybrid HPC-QC systems. |
| title | Interfacing Quantum Computing Systems with High-Performance Computing Systems: An Overview |
| topic | Quantum Physics |
| url | https://arxiv.org/abs/2509.06205 |