Rethinking Programming Paradigms in the QC-HPC Context

Silvina Caino-Lores; Daniel Claudino; Eugene Dumitrescu; Travis S. Humble; Sonia Lopez Alarcon; Elaine Wong

doi:10.1007/978-3-031-61763-8_8

Rethinking Programming Paradigms in the QC-HPC Context

Silvina Caino-Lores
, Daniel Claudino
, Eugene Dumitrescu
, Travis S. Humble
, Sonia Lopez Alarcon
, Elaine Wong

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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.

Original language	English
Title of host publication	Asynchronous Many-Task Systems and Applications - 2nd International Workshop, WAMTA 2024, Proceedings
Editors	Patrick Diehl, Joseph Schuchart, Pedro Valero-Lara, George Bosilca
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	84-91
Number of pages	8
ISBN (Print)	9783031617621
DOIs	https://doi.org/10.1007/978-3-031-61763-8_8
State	Published - 2024
Event	2nd International Workshop on Asynchronous Many-Task Systems and Applications, WAMTA 2024 - Knoxville, United States Duration: Feb 14 2024 → Feb 16 2024

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	14626 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	2nd International Workshop on Asynchronous Many-Task Systems and Applications, WAMTA 2024
Country/Territory	United States
City	Knoxville
Period	02/14/24 → 02/16/24

Funding

EW, DC, TSH, and ED acknowledge that this work was performed at Oak Ridge National Laboratory, operated by UT-Battelle, LLC under contract DE-AC05-00OR22725 for the US Department of Energy (DOE). EW, DC, and TSH acknowledge that support for the work came from the DOE Advanced Scientific Computing Research (ASCR) Accelerated Research in Quantum Computing (ARQC) Program under field work proposal ERKJ332. ED is supported by the DOE Office of Science Advanced Scientific Research Program Early Career Award under contract number 3ERKJ420. SLA acknowledges that this material is partially based upon work supported by the National Science Foundation under Award No. 2300476.

Keywords

high performance computing
quantum computing

Access to Document

10.1007/978-3-031-61763-8_8

Cite this

Caino-Lores, S., Claudino, D., Dumitrescu, E., Humble, T. S., Alarcon, S. L., & Wong, E. (2024). Rethinking Programming Paradigms in the QC-HPC Context. In P. Diehl, J. Schuchart, P. Valero-Lara, & G. Bosilca (Eds.), Asynchronous Many-Task Systems and Applications - 2nd International Workshop, WAMTA 2024, Proceedings (pp. 84-91). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 14626 LNCS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-61763-8_8

Caino-Lores, Silvina ; Claudino, Daniel ; Dumitrescu, Eugene et al. / Rethinking Programming Paradigms in the QC-HPC Context. Asynchronous Many-Task Systems and Applications - 2nd International Workshop, WAMTA 2024, Proceedings. editor / Patrick Diehl ; Joseph Schuchart ; Pedro Valero-Lara ; George Bosilca. Springer Science and Business Media Deutschland GmbH, 2024. pp. 84-91 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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abstract = "Programming for today{\textquoteright}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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Caino-Lores, S, Claudino, D , Dumitrescu, E , Humble, TS, Alarcon, SL & Wong, E 2024, Rethinking Programming Paradigms in the QC-HPC Context. in P Diehl, J Schuchart, P Valero-Lara & G Bosilca (eds), Asynchronous Many-Task Systems and Applications - 2nd International Workshop, WAMTA 2024, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 14626 LNCS, Springer Science and Business Media Deutschland GmbH, pp. 84-91, 2nd International Workshop on Asynchronous Many-Task Systems and Applications, WAMTA 2024, Knoxville, United States, 02/14/24. https://doi.org/10.1007/978-3-031-61763-8_8

Rethinking Programming Paradigms in the QC-HPC Context. / Caino-Lores, Silvina; Claudino, Daniel ; Dumitrescu, Eugene et al.
Asynchronous Many-Task Systems and Applications - 2nd International Workshop, WAMTA 2024, Proceedings. ed. / Patrick Diehl; Joseph Schuchart; Pedro Valero-Lara; George Bosilca. Springer Science and Business Media Deutschland GmbH, 2024. p. 84-91 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 14626 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AB - 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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ER -

Caino-Lores S, Claudino D , Dumitrescu E , Humble TS, Alarcon SL, Wong E. Rethinking Programming Paradigms in the QC-HPC Context. In Diehl P, Schuchart J, Valero-Lara P, Bosilca G, editors, Asynchronous Many-Task Systems and Applications - 2nd International Workshop, WAMTA 2024, Proceedings. Springer Science and Business Media Deutschland GmbH. 2024. p. 84-91. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-031-61763-8_8

Rethinking Programming Paradigms in the QC-HPC Context

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