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Quantum computing (QC) introduces a novel mode of computation with thepossibility of greater computational power that remains to be exploited -presenting exciting opportunities for high performance computing (HPC)applications. However, recent advancements in the field have made clear that QCdoes not supplant conventional HPC, but can rather be incorporated into currentheterogeneous HPC infrastructures as an additional accelerator, therebyenabling the optimal utilization of both paradigms. The desire for suchintegration significantly affects the development of software for quantumcomputers, which in turn influences the necessary software infrastructure. Todate, previous review papers have investigated various quantum programmingtools (QPTs) (such as languages, libraries, frameworks) in their ability toprogram, compile, and execute quantum circuits. However, the integration effortwith classical HPC frameworks or systems has not been addressed. This studyaims to characterize existing QPTs from an HPC perspective, investigating ifexisting QPTs have the potential to be efficiently integrated with classicalcomputing models and determining where work is still required. This workstructures a set of criteria into an analysis blueprint that enables HPCscientists to assess whether a QPT is suitable for the quantum-acceleratedclassical application at hand.

Integration of Quantum Accelerators with High Performance Computing -- A Review of Quantum Programming Tools