Building a Software Stack for Quantum-HPC Integration

• URL: http://arxiv.org/abs/2503.01787v1
• Date: Mon, 03 Mar 2025 18:18:45 GMT
• Title: Building a Software Stack for Quantum-HPC Integration
• Authors: Amir Shehata, Peter Groszkowski, Thomas Naughton, Murali Gopalakrishnan Meena, Elaine Wong, Daniel Claudino, Rafael Ferreira da Silvaa, Thomas Beck,
• Abstract summary: We propose a hardware-agnostic software framework that supports both current intermediate-scale quantum devices and future fault-tolerant quantum computers.<n>The architecture includes a quantum gateway interface, standardized APIs for resource management, and robust scheduling mechanisms.<n>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, and (4) a comprehensive tool chain for quantum circuit optimization and execution.
• Score: 0.9360388224886863
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: 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.

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