Benutzer: Gast  Login
Titel:

Boltzmann machines and string-bond states for describing quantum many-body states

Autor(en):
Glasser, Ivan; Pancotti, Nicola; August, Moritz; Rodriguez, Ivan; Cirac, Ignacio
Stichworte:
Tensor Networks; Machine Learning; Restricted Boltzmann Machines; Ground States; Quantum Physics; Deep Learning
Kongresstitel:
Machine Learning Challenges in Complex Multiscale Physical Systems
Kongress / Zusatzinformationen:
Institute of Advances Studies (TUM)
TUM Einrichtung:
Technical University of Munich, Max Planck Institute of Quantum Optics
Jahr:
2017
Monat:
Jan
Hinweis:
mediatitle: Machine Learning Challenges in Complex Multiscale Physical Systems
address: Institute of Advances Studies (TUM)
URL: http://www5.in.tum.de/pub/august_RBM.pdf
URL:
http://www5.in.tum.de/pub/august_RBM.pdf
 BibTeX