1 code implementation • 9 Apr 2020 • Anna Dawid, Patrick Huembeli, Michał Tomza, Maciej Lewenstein, Alexandre Dauphin
Neural networks (NNs) normally do not allow any insight into the reasoning behind their predictions.
Quantum Physics Disordered Systems and Neural Networks
1 code implementation • 21 Dec 2018 • Matthew J. S. Beach, Isaac De Vlugt, Anna Golubeva, Patrick Huembeli, Bohdan Kulchytskyy, Xiuzhe Luo, Roger G. Melko, Ejaaz Merali, Giacomo Torlai
As we enter a new era of quantum technology, it is increasingly important to develop methods to aid in the accurate preparation of quantum states for a variety of materials, matter, and devices.
Quantum Physics Strongly Correlated Electrons
no code implementations • 1 Jun 2018 • Patrick Huembeli, Alexandre Dauphin, Peter Wittek, Christian Gogolin
We identify a new "order parameter" for the disorder driven many-body localization (MBL) transition by leveraging artificial intelligence.
Quantum Physics Disordered Systems and Neural Networks
1 code implementation • 11 Oct 2017 • Patrick Huembeli, Alexandre Dauphin, Peter Wittek
Adversarial domain adaptation uses both types of data to create invariant feature extracting layers in a deep learning architecture.