Bulletin of the American Physical Society
APS March Meeting 2020
Volume 65, Number 1
Monday–Friday, March 2–6, 2020; Denver, Colorado
Session X68: DQI Invited Session: Machine Learning and Quantum Physics
11:15 AM–1:39 PM,
Friday, March 6, 2020
Room: Four Seasons 4
Sponsoring
Unit:
DQI
Chair: Raphael Pooser, Oak Ridge National Lab
Abstract: X68.00004 : Machine Learning with Tensor Networks
Presenter:
Edwin Stoudenmire
(CCQ, Flatiron Institute)
Author:
Edwin Stoudenmire
(CCQ, Flatiron Institute)
I will give a progress update on work over the last few years bringing tensor network methods to bear on machine learning. In addition to empirical benchmark results on challenging data sets, there has been recent progress in obtaining theoretical results for machine learning too. I will discuss how a theory of generative modeling of data can be developed in the context of matrix product state models. Other interesting developments include a theoretical understanding of the expressive power of various families of models, and a direct connection between tensor networks and proposals for quantum machine learning.
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