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