<div class="csl-bib-body">
<div class="csl-entry">Wallerberger, M., Shinaoka, H., Ishida, H., Weintal, X., Núñez Fernández, Y., von Delft, J., Ritter, M., Rohshap, S., & Kauch, A. (2025, February 12). <i>Teaching a computer to handle many electrons</i> [Conference Presentation]. 38th Workshop on Chemistry and Physics of Novel Materials, Schladming, Austria. https://doi.org/10.34726/11826</div>
</div>
-
dc.identifier.uri
http://hdl.handle.net/20.500.12708/226211
-
dc.identifier.uri
https://doi.org/10.34726/11826
-
dc.description.abstract
In my talk, I argue that in order to solve the problem of electronic correlation in solids, we need to understand and leverage its structure. To that end, I expose the idea of "latent space" and aim to show its connection to the ancient greek theory of Forms, to techniques already used in physics and chemistry, and to modern machine-learning.
Finally, I show how the separation and coupling of length and time scales prevalent in physics can be understood as such latent spaces. This will give rise to quantics tensor trains (QTTs), a powerful and promisting tool for tackling the problem of many correlated electrons.
en
dc.description.sponsorship
FWF - Österr. Wissenschaftsfonds
-
dc.language.iso
en
-
dc.rights.uri
http://creativecommons.org/licenses/by-sa/4.0/
-
dc.subject
quantics tensor trains (QTTs)
en
dc.subject
latent space
en
dc.subject
electronic correlation in solids
en
dc.title
Teaching a computer to handle many electrons
en
dc.type
Presentation
en
dc.type
Vortrag
de
dc.rights.license
Creative Commons Namensnennung - Weitergabe unter gleichen Bedingungen 4.0 International
de
dc.rights.license
Creative Commons Attribution-ShareAlike 4.0 International
en
dc.identifier.doi
10.34726/11826
-
dc.contributor.affiliation
Université Grenoble Alpes, France
-
dc.contributor.affiliation
Université Grenoble Alpes, France
-
dc.contributor.affiliation
Technical University of Munich, Germany
-
dc.contributor.affiliation
Technical University of Munich, Germany
-
dc.relation.grantno
P 36332-N
-
dc.type.category
Conference Presentation
-
tuw.project.title
Sparse modeling for 2P response and parquet equations
