Bridging paradigms: Designing for HPC-Quantum convergence

Journal Article · Sat Jun 28 04:00:00 EDT 2025 · Future Generations Computer Systems

DOI:https://doi.org/10.1016/j.future.2025.107980· OSTI ID:2573328

Shehata, Amir ^[1]; Groszkowski, Peter ^[1]; Naughton III, Thomas ^[1]; Gopalakrishnan Meena, Muralikrishnan ^[1]; Wong, Elaine ^[1]; Claudino, Daniel ^[1]; Ferreira da Silva, Rafael ^[1]; Beck, Thomas ^[1]

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1. Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)

Here, this paper presents a comprehensive software stack architecture for integrating quantum computing (QC) capabilities with High-Performance Computing (HPC) environments. While quantum computers show promise as specialized accelerators for scientific computing, their effective integration with classical HPC systems presents significant technical challenges. We propose a hardware-agnostic software framework that supports both current noisy intermediate-scale quantum devices and future fault-tolerant quantum computers, while maintaining compatibility with existing HPC workflows. The architecture includes a quantum gateway interface, standardized APIs for resource management, and robust scheduling mechanisms to handle both simultaneous and interleaved quantum–classical workloads. Key innovations include: (1) a unified resource management system that efficiently coordinates quantum and classical resources, (2) a flexible quantum programming interface that abstracts hardware-specific details, (3) A Quantum Platform Manager API that simplifies the integration of various quantum hardware systems, and (4) a comprehensive tool chain for quantum circuit optimization and execution. We demonstrate our architecture through implementation of quantum–classical algorithms, including the variational quantum linear solver, showcasing the framework’s ability to handle complex hybrid workflows while maximizing resource utilization. This work provides a foundational blueprint for integrating QC capabilities into existing HPC infrastructures, addressing critical challenges in resource management, job scheduling, and efficient data movement between classical and quantum resources.

• Research Organization: Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
• Sponsoring Organization: USDOE Office of Science (SC), Advanced Scientific Computing Research (ASCR); USDOE Laboratory Directed Research and Development (LDRD) Program
• Grant/Contract Number: AC05-00OR22725
• OSTI ID: 2573328
• Journal Information: Future Generations Computer Systems, Journal Name: Future Generations Computer Systems Vol. 174; ISSN 0167-739X
• Publisher: Elsevier
• Country of Publication: United States
• Language: English

Related Subjects

High-performance computing
Quantum applications
Quantum computing
System integration