Search Results for author:
Found 4 papers, 3 papers with code
Phase Detection with Neural Networks: Interpreting the Black Box
Neural networks (NNs) normally do not allow any insight into the reasoning behind their predictions.
Quantum Physics Disordered Systems and Neural Networks
QuCumber: wavefunction reconstruction with neural networks
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
Automated discovery of characteristic features of phase transitions in many-body localization
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
Identifying Quantum Phase Transitions with Adversarial Neural Networks
Adversarial domain adaptation uses both types of data to create invariant feature extracting layers in a deep learning architecture.
