Rethinking Programming Paradigms in the QC-HPC Context
Silvina Caino-Lores, Daniel Claudino, Eugene Dumitrescu, Travis S., Humble, Sonia Lopez Alarcon, Elaine Wong

TL;DR
This paper explores how quantum processing units can be integrated into high performance computing workflows, focusing on management strategies and potential for scientific discovery.
Contribution
It proposes new avenues for refining QPU management in QC-HPC integration, emphasizing asynchronous task handling and linking quantum computing with HPC.
Findings
QPU management strategies can enhance QC-HPC integration
Asynchronous task handling improves quantum workflow efficiency
Potential for quantum computing to accelerate scientific discovery
Abstract
Programming for today's quantum computers is making significant strides toward modern workflows compatible with high performance computing (HPC), but fundamental challenges still remain in the integration of these vastly different technologies. Quantum computing (QC) programming languages share some common ground, as well as their emerging runtimes and algorithmic modalities. In this short paper, we explore avenues of refinement for the quantum processing unit (QPU) in the context of many-tasks management, asynchronous or otherwise, in order to understand the value it can play in linking QC with HPC. Through examples, we illustrate how its potential for scientific discovery might be realized.
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