TKM Institutsseminar |
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Speaker: | Dr. Elmer V. H. Doggen |
Date: | 23/11/2017 12:30 |
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Where: | Room 10.01, 10th Floor, Bldg. 30.23, KIT Campus South |
Affiliation: | Karlsruhe Institute of Technology |
Host: | Prof. Dr. Alexander Mirlin |
Abstract
Machine learning is emerging as a promising new tool in the computational toolbox. I will briefly explain the key concept of a restricted Boltzmann machine and discuss the application of machine learning to I) solving quantum many-body problems and II) distinguishing phases from raw data, as presented in two recent papers:
I) G. Carleo and M. Troyer, Solving the quantum many-body problem with artificial neural networks, Science 355, 602 (2017)
II) F. Schindler, N. Regnault, T. Neupert, Probing many-body localization with neural networks, Phys. Rev. B 95, 245134 (2017)