Integrating quantum computing resources into scientific HPC ecosystems

Beck, Thomas; Baroni, Alessandro; Bennink, Ryan; Buchs, Gilles; Pérez, Eduardo Antonio Coello; Eisenbach, Markus; da Silva, Rafael Ferreira; Meena, Muralikrishnan Gopalakrishnan; Gottiparthi, Kalyan; Groszkowski, Peter; Humble, Travis S.; Landfield, Ryan; Maheshwari, Ketan; Oral, Sarp; Sandoval, Michael A.; Shehata, Amir; Suh, In-Saeng; Zimmer, Christopher

doi:10.1016/j.future.2024.06.058

Integrating quantum computing resources into scientific HPC ecosystems

Journal Article · Tue Jul 02 00:00:00 EDT 2024 · Future Generations Computer Systems

DOI:https://doi.org/10.1016/j.future.2024.06.058· OSTI ID:2397430

^[1]; ^[1]; ^[2]; ^[2]; Pérez, Eduardo Antonio Coello ^[1]; ^[1]; ^[1]; ^[1]; ^[1]; ^[1]; ^[3]; Landfield, Ryan ^[1]; ^[1]; ^[1]; ^[1]; ^[1]; ^[1]; ^[1]

Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States). National Center for Computational Sciences (NCCS)
Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States). Computational Sciences and Engineering
Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States). Quantum Science Center (QSC)

Quantum Computing (QC) offers significant potential to enhance scientific discovery in fields such as quantum chemistry, optimization, and artificial intelligence. Yet QC faces challenges due to the noisy intermediate-scale quantum era’s inherent external noise issues. Here, this paper discusses the integration of QC as a computational accelerator within classical scientific high-performance computing (HPC) systems. By leveraging a broad spectrum of simulators and hardware technologies, we propose a hardware-agnostic framework for augmenting classical HPC with QC capabilities. Drawing on the HPC expertise of the Oak Ridge National Laboratory (ORNL) and the HPC lifecycle management of the Department of Energy (DOE), our approach focuses on the strategic incorporation of QC capabilities and acceleration into existing scientific HPC workflows. This includes detailed analyses, benchmarks, and code optimization driven by the needs of the DOE and ORNL missions. Our comprehensive framework integrates hardware, software, workflows, and user interfaces to foster a synergistic environment for quantum and classical computing research. This paper outlines plans to unlock new computational possibilities, driving forward scientific inquiry and innovation in a wide array of research domains.

View Accepted Manuscript (DOE)

Research Organization:: Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)

Sponsoring Organization:: USDOE Office of Science (SC), Advanced Scientific Computing Research (ASCR)

Grant/Contract Number:: AC05-00OR22725

OSTI ID:: 2397430

Journal Information:: Future Generations Computer Systems, Journal Name: Future Generations Computer Systems Vol. 161; ISSN 0167-739X

Publisher:: ElsevierCopyright Statement

Country of Publication:: United States

Language:: English

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Integrating quantum computing resources into scientific HPC ecosystems

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