Benutzer: Gast  Login
Dokumenttyp:
Poster 
Autor(en):
Glasser, Ivan; Pancotti, Nicola; August, Moritz; Rodriguez, Ivan; Cirac, Ignacio 
Titel:
Boltzmann machines and string-bond states for describing quantum many-body states 
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