Semantic Scholar Open Access 2023 108 sitasi

Quantum-centric supercomputing for materials science: A perspective on challenges and future directions

Yuri Alexeev Maximilian Amsler Paul G. Baity M. A. Barroca Sanzio Bassini +122 lainnya

Lihat Sumber DOI

Abstrak

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.

Topik & Kata Kunci

Physics Computer Science

Penulis (127)

Yuri Alexeev

Maximilian Amsler

Paul G. Baity

M. A. Barroca

Sanzio Bassini

Torey Battelle

Daan Camps

David Casanova

Young Jai Choi

F. Chong

Charles C. Chung

Christopher Codella

A. Córcoles

James Cruise

A. D. Meglio

Jonathan Dubois

Ivan Duran

T. Eckl

Sophia Economou

S. Eidenbenz

B. Elmegreen

Clyde Fare

Ismael Faro

Cristina Sanz Fern'andez

Rodrigo Neumann Barros Ferreira

Keisuke Fuji

Bryce Fuller

Laura Gagliardi

Giulia Galli

Jennifer R. Glick

Isacco Gobbi

P. Gokhale

S. González

Johannes N. Greiner

B. Gropp

M. Grossi

Emmanuel Gull

Burns Healy

Benchen Huang

Travis S. Humble

Nobuyasu Ito

A. Izmaylov

Ali Javadi-Abhari

Douglas M. Jennewein

S. Jha

Liang Jiang

Barbara Jones

W. A. Jong

Petar Jurcevic

William Kirby

Stefan Kister

Masahiro Kitagawa

Joel Klassen

Katherine Klymko

Kwangwon Koh

Masaaki Kondo

D. Kurkcuoglu

K. Kurowski

T. Laino

Ryan Landfield

M. Leininger

Vicente Leyton-Ortega

Ang Li

Meifeng Lin

Junyu Liu

Nicolás Lorente

André Luckow

S. Martiel

Francisco Martín-Fernández

M. Martonosi

C. Marvinney

Arcesio Castaneda Medina

Dirk Merten

Antonio Mezzacapo

K. Michielsen

Abhishek Mitra

Tushar Mittal

Kyungsun Moon

Joel E. Moore

Mario Motta

Young-Hye Na

Yunseong Nam

P. Narang

Yu-ya Ohnishi

Daniele Ottaviani

Matthew Otten

S. Pakin

V. Pascuzzi

Ed Penault

Tomasz Piontek

J. Pitera

Patrick Rall

Gokul Subramanian Ravi

Niall F. Robertson

Matteo Rossi

Piotr Rydlichowski

Hoon Ryu

G. Samsonidze

Mitsuhisa Sato

Nishant Saurabh

Vidushi Sharma

Kunal Sharma

S. Shin

George Slessman

Mathias B. Steiner

Iskandar Sitdikov

In-Saeng Suh

Eric D. Switzer

Wei Tang

Joel Thompson

S. Todo

M. Tran

Dimitar Trenev

C. Trott

H. Tseng

Esin Tureci

David Garcia Valiñas

S. Vallecorsa

Christopher Wever

Konrad Wojciechowski

Xiaodi Wu

Shinjae Yoo

Nobuyuki Yoshioka

V. Yu

Seiji Yunoki

Sergiy Zhuk

D. Zubarev

Format Sitasi

APA MLA BibTeX

Alexeev, Y., Amsler, M., Baity, P.G., Barroca, M.A., Bassini, S., Battelle, T. et al. (2023). Quantum-centric supercomputing for materials science: A perspective on challenges and future directions. https://doi.org/10.1016/j.future.2024.04.060

@article{alexeev2023, author = {Yuri Alexeev and Maximilian Amsler and Paul G. Baity and M. A. Barroca and Sanzio Bassini and Torey Battelle and Daan Camps and David Casanova and Young Jai Choi and F. Chong and Charles C. Chung and Christopher Codella and A. Córcoles and James Cruise and A. D. Meglio and Jonathan Dubois and Ivan Duran and T. Eckl and Sophia Economou and S. Eidenbenz and B. Elmegreen and Clyde Fare and Ismael Faro and Cristina Sanz Fern'andez and Rodrigo Neumann Barros Ferreira and Keisuke Fuji and Bryce Fuller and Laura Gagliardi and Giulia Galli and Jennifer R. Glick and Isacco Gobbi and P. Gokhale and S. González and Johannes N. Greiner and B. Gropp and M. Grossi and Emmanuel Gull and Burns Healy and Benchen Huang and Travis S. Humble and Nobuyasu Ito and A. Izmaylov and Ali Javadi-Abhari and Douglas M. Jennewein and S. Jha and Liang Jiang and Barbara Jones and W. A. Jong and Petar Jurcevic and William Kirby and Stefan Kister and Masahiro Kitagawa and Joel Klassen and Katherine Klymko and Kwangwon Koh and Masaaki Kondo and D. Kurkcuoglu and K. Kurowski and T. Laino and Ryan Landfield and M. Leininger and Vicente Leyton-Ortega and Ang Li and Meifeng Lin and Junyu Liu and Nicolás Lorente and André Luckow and S. Martiel and Francisco Martín-Fernández and M. Martonosi and C. Marvinney and Arcesio Castaneda Medina and Dirk Merten and Antonio Mezzacapo and K. Michielsen and Abhishek Mitra and Tushar Mittal and Kyungsun Moon and Joel E. Moore and Mario Motta and Young-Hye Na and Yunseong Nam and P. Narang and Yu-ya Ohnishi and Daniele Ottaviani and Matthew Otten and S. Pakin and V. Pascuzzi and Ed Penault and Tomasz Piontek and J. Pitera and Patrick Rall and Gokul Subramanian Ravi and Niall F. Robertson and Matteo Rossi and Piotr Rydlichowski and Hoon Ryu and G. Samsonidze and Mitsuhisa Sato and Nishant Saurabh and Vidushi Sharma and Kunal Sharma and S. Shin and George Slessman and Mathias B. Steiner and Iskandar Sitdikov and In-Saeng Suh and Eric D. Switzer and Wei Tang and Joel Thompson and S. Todo and M. Tran and Dimitar Trenev and C. Trott and H. Tseng and Esin Tureci and David Garcia Valiñas and S. Vallecorsa and Christopher Wever and Konrad Wojciechowski and Xiaodi Wu and Shinjae Yoo and Nobuyuki Yoshioka and V. Yu and Seiji Yunoki and Sergiy Zhuk and D. Zubarev}, title = {Quantum-centric supercomputing for materials science: A perspective on challenges and future directions}, year = {2023}, journal = {Semantic Scholar}, doi = {10.1016/j.future.2024.04.060}, url = {https://www.semanticscholar.org/paper/a11fb0fb3436e626ed1e5da877bde481b75d50e7}, }

Akses Cepat

Lihat di Sumber doi.org/10.1016/j.future.2024.04.060

Informasi Jurnal

Tahun Terbit: 2023
Bahasa: en
Total Sitasi: 108×
Sumber Database: Semantic Scholar
DOI: 10.1016/j.future.2024.04.060
Akses: Open Access ✓