Quantum-centric Supercomputing for Materials Science: A Perspective on Challenges and Future Directions

Bibliographic Details
Title: Quantum-centric Supercomputing for Materials Science: A Perspective on Challenges and Future Directions
Authors: Alexeev, Yuri, Amsler, Maximilian, Baity, Paul, Barroca, Marco Antonio, Bassini, Sanzio, Battelle, Torey, Camps, Daan, Casanova, David, Choi, Young Jai, Chong, Frederic T., Chung, Charles, Codella, Chris, Corcoles, Antonio D., Cruise, James, Di Meglio, Alberto, Dubois, Jonathan, Duran, Ivan, Eckl, Thomas, Economou, Sophia, Eidenbenz, Stephan, Elmegreen, Bruce, Fare, Clyde, Faro, Ismael, Fernández, Cristina Sanz, Ferreira, Rodrigo Neumann Barros, Fuji, Keisuke, Fuller, Bryce, Gagliardi, Laura, Galli, Giulia, Glick, Jennifer R., Gobbi, Isacco, Gokhale, Pranav, Gonzalez, Salvador de la Puente, Greiner, Johannes, Gropp, Bill, Grossi, Michele, Gull, Emanuel, Healy, Burns, Huang, Benchen, Humble, Travis S., Ito, Nobuyasu, Izmaylov, Artur F., Javadi-Abhari, Ali, Jennewein, Douglas, Jha, Shantenu, Jiang, Liang, Jones, Barbara, de Jong, Wibe Albert, Jurcevic, Petar, Kirby, William, Kister, Stefan, Kitagawa, Masahiro, Klassen, Joel, Klymko, Katherine, Koh, Kwangwon, Kondo, Masaaki, Kurkcuoglu, Doga Murat, Kurowski, Krzysztof, Laino, Teodoro, Landfield, Ryan, Leininger, Matt, Leyton-Ortega, Vicente, Li, Ang, Lin, Meifeng, Liu, Junyu, Lorente, Nicolas, Luckow, Andre, Martiel, Simon, Martin-Fernandez, Francisco, Martonosi, Margaret, Marvinney, Claire, Medina, Arcesio Castaneda, Merten, Dirk, Mezzacapo, Antonio, Michielsen, Kristel, Mitra, Abhishek, Mittal, Tushar, Moon, Kyungsun, Moore, Joel, Motta, Mario, Na, Young-Hye, Nam, Yunseong, Narang, Prineha, Ohnishi, Yu-ya, Ottaviani, Daniele, Otten, Matthew, Pakin, Scott, Pascuzzi, Vincent R., Penault, Ed, Piontek, Tomasz, Pitera, Jed, Rall, Patrick, Ravi, Gokul Subramanian, Robertson, Niall, Rossi, Matteo, Rydlichowski, Piotr, Ryu, Hoon, Samsonidze, Georgy, Sato, Mitsuhisa, Saurabh, Nishant, Sharma, Vidushi, Sharma, Kunal, Shin, Soyoung, Slessman, George, Steiner, Mathias, Sitdikov, Iskandar, Suh, In-Saeng, Switzer, Eric, Tang, Wei, Thompson, Joel, Todo, Synge, Tran, Minh, Trenev, Dimitar, Trott, Christian, Tseng, Huan-Hsin, Tureci, Esin, Valinas, David García, Vallecorsa, Sofia, Wever, Christopher, Wojciechowski, Konrad, Wu, Xiaodi, Yoo, Shinjae, Yoshioka, Nobuyuki, Yu, Victor Wen-zhe, Yunoki, Seiji, Zhuk, Sergiy, Zubarev, Dmitry
Source: Future Generation Computer Systems, Volume 160, November 2024, Pages 666-710
Publication Year: 2023
Collection: Condensed Matter
Quantum Physics
Subject Terms: Quantum Physics, Condensed Matter - Materials Science
More Details: Computational models are an essential tool for the design, characterization, and discovery of novel materials. Hard computational tasks in materials science stretch the limits of existing high-performance supercomputing centers, consuming much of their simulation, analysis, and data resources. 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.
Comment: 65 pages, 15 figures; comments welcome
Document Type: Working Paper
DOI: 10.1016/j.future.2024.04.060
Access URL: http://arxiv.org/abs/2312.09733
Accession Number: edsarx.2312.09733
Database: arXiv
More Details
DOI:10.1016/j.future.2024.04.060