Identifying Quantum Phase Transitions with Deep Convolutional Neural Networks
November 21st, 2017 ALEXANDRE DAUPHIN Quantum Optics Theory group
ICFO-The Institute of Photonic Sciences

I will talk applications of classical machine learning for the detection of phase transitions. The session will consist on a practical introduction on deep neural networks and convolutional neural networks and then I will discuss the recent machine learning method we used to characterize phase transitions.

ICFO+ Theory Lecture, November 21, 2017, 10:15. Blue Lecture Room