Abstract
Computational models are an essential tool for the design, characterization, and discovery of novel materials. Computationally hard tasks in materials science stretch the limits of existing high-performance supercomputing centers, consuming much of their resources for simulation, analysis, and data processing. Quantum computing, on the other hand, is an emerging technology with the potential to accelerate many of the computational tasks needed for materials science. In order to do that, the quantum technology must interact with conventional high-performance computing in several ways: approximate results validation, identification of hard problems, and synergies in quantum-centric supercomputing. In this paper, we provide a perspective on how quantum-centric supercomputing can help address critical computational problems in materials science, the challenges to face in order to solve representative use cases, and new suggested directions.
Original language | English (US) |
---|---|
Pages (from-to) | 666-710 |
Number of pages | 45 |
Journal | Future Generation Computer Systems |
Volume | 160 |
DOIs | |
State | Published - Nov 2024 |
Keywords
- High-performance computing
- Materials science
- Quantum computing
- Quantum-centric supercomputing
ASJC Scopus subject areas
- Software
- Hardware and Architecture
- Computer Networks and Communications
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In: Future Generation Computer Systems, Vol. 160, 11.2024, p. 666-710.
Research output: Contribution to journal › Article › peer-review
}
TY - JOUR
T1 - Quantum-centric supercomputing for materials science
T2 - A perspective on challenges and future directions
AU - Alexeev, Yuri
AU - Amsler, Maximilian
AU - Barroca, Marco Antonio
AU - Bassini, Sanzio
AU - Battelle, Torey
AU - Camps, Daan
AU - Casanova, David
AU - Choi, Young Jay
AU - Chong, Frederic T.
AU - Chung, Charles
AU - Codella, Christopher
AU - Córcoles, Antonio D.
AU - Cruise, James
AU - Di Meglio, Alberto
AU - Duran, Ivan
AU - Eckl, Thomas
AU - Economou, Sophia
AU - Eidenbenz, Stephan
AU - Elmegreen, Bruce
AU - Fare, Clyde
AU - Faro, Ismael
AU - Fernández, Cristina Sanz
AU - Ferreira, Rodrigo Neumann Barros
AU - Fuji, Keisuke
AU - Fuller, Bryce
AU - Gagliardi, Laura
AU - Galli, Giulia
AU - Glick, Jennifer R.
AU - Gobbi, Isacco
AU - Gokhale, Pranav
AU - de la Puente Gonzalez, Salvador
AU - Greiner, Johannes
AU - Gropp, Bill
AU - Grossi, Michele
AU - Gull, Emanuel
AU - Healy, Burns
AU - Hermes, Matthew R.
AU - Huang, Benchen
AU - Humble, Travis S.
AU - Ito, Nobuyasu
AU - Izmaylov, Artur F.
AU - Javadi-Abhari, Ali
AU - Jennewein, Douglas
AU - Jha, Shantenu
AU - Jiang, Liang
AU - Jones, Barbara
AU - de Jong, Wibe Albert
AU - Jurcevic, Petar
AU - Kirby, William
AU - Kister, Stefan
AU - Kitagawa, Masahiro
AU - Klassen, Joel
AU - Klymko, Katherine
AU - Koh, Kwangwon
AU - Kondo, Masaaki
AU - Kürkçüog̃lu, Dog̃a Murat
AU - Kurowski, Krzysztof
AU - Laino, Teodoro
AU - Landfield, Ryan
AU - Leininger, Matt
AU - Leyton-Ortega, Vicente
AU - Li, Ang
AU - Lin, Meifeng
AU - Liu, Junyu
AU - Lorente, Nicolas
AU - Luckow, Andre
AU - Martiel, Simon
AU - Martin-Fernandez, Francisco
AU - Martonosi, Margaret
AU - Marvinney, Claire
AU - Medina, Arcesio Castaneda
AU - Merten, Dirk
AU - Mezzacapo, Antonio
AU - Michielsen, Kristel
AU - Mitra, Abhishek
AU - Mittal, Tushar
AU - Moon, Kyungsun
AU - Moore, Joel
AU - Mostame, Sarah
AU - Motta, Mario
AU - Na, Young Hye
AU - Nam, Yunseong
AU - Narang, Prineha
AU - Ohnishi, Yu ya
AU - Ottaviani, Daniele
AU - Otten, Matthew
AU - Pakin, Scott
AU - Pascuzzi, Vincent R.
AU - Pednault, Edwin
AU - Piontek, Tomasz
AU - Pitera, Jed
AU - Rall, Patrick
AU - Ravi, Gokul Subramanian
AU - Robertson, Niall
AU - Rossi, Matteo A.C.
AU - Rydlichowski, Piotr
AU - Ryu, Hoon
AU - Samsonidze, Georgy
AU - Sato, Mitsuhisa
AU - Saurabh, Nishant
AU - Sharma, Vidushi
AU - Sharma, Kunal
AU - Shin, Soyoung
AU - Slessman, George
AU - Steiner, Mathias
AU - Sitdikov, Iskandar
AU - Suh, In Saeng
AU - Switzer, Eric D.
AU - Tang, Wei
AU - Thompson, Joel
AU - Todo, Synge
AU - Tran, Minh C.
AU - Trenev, Dimitar
AU - Trott, Christian
AU - Tseng, Huan Hsin
AU - Tubman, Norm M.
AU - Tureci, Esin
AU - Valiñas, David García
AU - Vallecorsa, Sofia
AU - Wever, Christopher
AU - Wojciechowski, Konrad
AU - Wu, Xiaodi
AU - Yoo, Shinjae
AU - Yoshioka, Nobuyuki
AU - Yu, Victor Wen zhe
AU - Yunoki, Seiji
AU - Zhuk, Sergiy
AU - Zubarev, Dmitry
N1 - Y.A. acknowledges support from the U.S. Department of Energy, Office of Science, under contract DE-AC02-06CH11357 at Argonne National Laboratory. A.D.M. M.G, and S.V. are supported by CERN through the CERN Quantum Technology Initiative (CERN QTI). A.F.I. acknowledges financial support from the Natural Sciences and Engineering Council of Canada (NSERC). The work at the DIPC was funded by the Gipuzkoa Provincial Council (project QUAN-000021-01), the European Union (project NextGenerationEU/PRTR-C17.I1), as well as by the IKUR Strategy under the collaboration agreement between Ikerbasque Foundation and DIPC on behalf of the Department of Education of the Basque Government. Y.A. G.G. L.G. A.M. M.H. and B.H. acknowledge funding support from the Next Generation Quantum Science and Engineering (Q-NEXT), supported by the U.S. Department of Energy, Office of Science, National Quantum Information Science Research Centers. A.L. and T.S.H. acknowledge support from the U.S. Department of Energy, Office of Science, National Quantum Information Science Research Centers, Quantum Science Center (QSC). W.A.d.J. acknowledges funding support from the Quantum Systems Accelerator (QSA), supported by the U.S. Department of Energy, Office of Science, National Quantum Information Science Research Centers. N.M.T. acknowledges support from by U.S. Department of Energy, Office of Science, National Quantum Information Science Research Centers, Co-Design Center for Quantum Advantage under Contract No. DE-SC0012704 (C2QA). L.G. A.M. and M.H. acknowledge partial support from the NSF QuBBE Quantum Leap Challenge Institute (Grant No. NSF OMA-2121044). The work at the Oak Ridge National Laboratory used resources of the Oak Ridge Leadership Computing Facility which is supported by the Office of Science of the U.S. Department of Energy under Contract No. DE-AC05-00OR22725. Y.A. acknowledges support from the U.S. Department of Energy, Office of Science , under contract DE-AC02-06CH11357 at Argonne National Laboratory. A.D.M., M.G, and S.V. are supported by CERN through the CERN Quantum Technology Initiative (CERN QTI) . A.F.I. acknowledges financial support from the Natural Sciences and Engineering Council of Canada (NSERC) . The work at the DIPC was funded by the Gipuzkoa Provincial Council (project QUAN-000021-01 ), the European Union (project NextGenerationEU/PRTR-C17.I1) , as well as by the IKUR Strategy under the collaboration agreement between Ikerbasque Foundation and DIPC on behalf of the Department of Education of the Basque Government . Y.A., G.G., L.G., A.M. M.H. and B.H. acknowledge funding support from the Next Generation Quantum Science and Engineering (Q-NEXT), supported by the U.S. Department of Energy, Office of Science, National Quantum Information Science Research Centers . A.L. and T.S.H. acknowledge support from the U.S. Department of Energy, Office of Science, National Quantum Information Science Research Centers, Quantum Science Center (QSC) . W.A.d.J. acknowledges funding support from the Quantum Systems Accelerator (QSA) , supported by the U.S. Department of Energy, Office of Science, National Quantum Information Science Research Centers . N.M.T. acknowledges support from by U.S. Department of Energy, Office of Science, National Quantum Information Science Research Centers, Co-Design Center for Quantum Advantage under Contract No. DE-SC0012704 (C2QA). L.G., A.M. and M.H. acknowledge partial support from the NSF QuBBE Quantum Leap Challenge Institute (Grant No. NSF OMA-2121044 ). The work at the Oak Ridge National Laboratory used resources of the Oak Ridge Leadership Computing Facility which is supported by the Office of Science of the U.S. Department of Energy under Contract No. DE-AC05-00OR22725 .
PY - 2024/11
Y1 - 2024/11
N2 - Computational models are an essential tool for the design, characterization, and discovery of novel materials. Computationally hard tasks in materials science stretch the limits of existing high-performance supercomputing centers, consuming much of their resources for simulation, analysis, and data processing. Quantum computing, on the other hand, is an emerging technology with the potential to accelerate many of the computational tasks needed for materials science. In order to do that, the quantum technology must interact with conventional high-performance computing in several ways: approximate results validation, identification of hard problems, and synergies in quantum-centric supercomputing. In this paper, we provide a perspective on how quantum-centric supercomputing can help address critical computational problems in materials science, the challenges to face in order to solve representative use cases, and new suggested directions.
AB - Computational models are an essential tool for the design, characterization, and discovery of novel materials. Computationally hard tasks in materials science stretch the limits of existing high-performance supercomputing centers, consuming much of their resources for simulation, analysis, and data processing. Quantum computing, on the other hand, is an emerging technology with the potential to accelerate many of the computational tasks needed for materials science. In order to do that, the quantum technology must interact with conventional high-performance computing in several ways: approximate results validation, identification of hard problems, and synergies in quantum-centric supercomputing. In this paper, we provide a perspective on how quantum-centric supercomputing can help address critical computational problems in materials science, the challenges to face in order to solve representative use cases, and new suggested directions.
KW - High-performance computing
KW - Materials science
KW - Quantum computing
KW - Quantum-centric supercomputing
UR - http://www.scopus.com/inward/record.url?scp=85196862108&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85196862108&partnerID=8YFLogxK
U2 - 10.1016/j.future.2024.04.060
DO - 10.1016/j.future.2024.04.060
M3 - Article
AN - SCOPUS:85196862108
SN - 0167-739X
VL - 160
SP - 666
EP - 710
JO - Future Generation Computer Systems
JF - Future Generation Computer Systems
ER -