Interpreting convolutional neural networks' low-dimensional approximation to quantum spin systems

Convolutional neural networks (CNNs) have been employed along with variational Monte Carlo methods for finding the ground state of quantum many-body spin systems with great success. However, it remains uncertain how CNNs, with a model complexity that scales at most linearly with the number of partic...

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Bibliographic Details

Published in:	Physical Review Research
Main Authors:	Yilong Ju, Shah Saad Alam, Jonathan Minoff, Fabio Anselmi, Han Pu, Ankit Patel
Format:	Article
Language:	English
Published:	American Physical Society 2025-01-01
Online Access:	http://doi.org/10.1103/PhysRevResearch.7.013094