Video URL
https://pirsa.org/23060049Data-centric learning of Quantum Many-body States with Classical Machines
APA
Kim, E. (2023). Data-centric learning of Quantum Many-body States with Classical Machines. Perimeter Institute for Theoretical Physics. https://pirsa.org/23060049
MLA
Kim, Eun-Ah. Data-centric learning of Quantum Many-body States with Classical Machines. Perimeter Institute for Theoretical Physics, Jun. 13, 2023, https://pirsa.org/23060049
BibTex
@misc{ scivideos_PIRSA:23060049,
doi = {10.48660/23060049},
url = {https://pirsa.org/23060049},
author = {Kim, Eun-Ah},
keywords = {Quantum Matter},
language = {en},
title = {Data-centric learning of Quantum Many-body States with Classical Machines},
publisher = {Perimeter Institute for Theoretical Physics},
year = {2023},
month = {jun},
note = {PIRSA:23060049 see, \url{https://scivideos.org/index.php/pirsa/23060049}}
}
Eun-Ah Kim Cornell University
Source RepositoryPIRSA
Talk Type
Conference
Subject