Neural-network quantum states for periodic systems in continuous space

Neural-network quantum states for periodic systems in continuous space

We introduce a family of neural quantum states for the simulation of strongly interacting systems in the presence of spatial periodicity. Our variational state is parametrized in terms of a permutationally invariant part described by the Deep Sets neural-network architecture. The input coordinates t...

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Bibliographic Details
Main Authors:	Gabriel Pescia, Jiequn Han, Alessandro Lovato, Jianfeng Lu, Giuseppe Carleo
Format:	Article
Language:	English
Published:	American Physical Society 2022-05-01
Series:	Physical Review Research
Online Access:	http://doi.org/10.1103/PhysRevResearch.4.023138

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