Quantum Mini-Apps: A Framework for Developing and Benchmarking Quantum-HPC Applications

TL;DR

This paper introduces a framework for developing and benchmarking quantum-HPC applications using quantum mini-apps that encapsulate key execution motifs, aiding performance analysis and middleware development.

Contribution

It identifies six quantum-HPC execution motifs and develops a mini-app framework for creating and benchmarking applications on heterogeneous quantum-HPC systems.

Findings

Defined six quantum-HPC execution motifs

Developed a mini-app framework for quantum-HPC applications

Enabled performance characterization and middleware development

Abstract

With the increasing maturity and scale of quantum hardware and its integration into HPC systems, there is a need to develop robust techniques for developing, characterizing, and benchmarking quantum-HPC applications and middleware systems. This requires a better understanding of interaction, coupling, and common execution patterns between quantum and classical workload tasks and components. This paper identifies six quantum-HPC execution motifs - recurring execution patterns characterized by distinct coupling and interaction modes. These motifs provide the basis for a suite of quantum mini-apps - simplified application prototypes that encapsulate essential characteristics of production systems. To support these developments, we introduce a mini-app framework that offers the necessary abstractions for creating and executing mini-apps across heterogeneous quantum-HPC infrastructure, making it a valuable tool for performance characterizations and middleware development.