Fermionic wave functions from neural-network constrained hidden states

We introduce a systematically improvable family of variational wave functions for the simulation of strongly correlated fermionic systems. This family consists of Slater determinants in an augmented Hilbert space involving "hidden" additional fermionic degrees of freedom. These determinant...

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Veröffentlicht in:	Proceedings of the National Academy of Sciences - PNAS 2022-08, Vol.119 (32)
Hauptverfasser:	Moreno, Javier Robledo, Carleo, Giuseppe, Georges, Antoine, Stokes, James
Format:	Artikel
Sprache:	eng
Schlagworte:	Constraints Hilbert space Neural networks Parameterization Variational methods Wave functions
Online-Zugang:	Volltext
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