Infinite neural network quantum states: entanglement and training dynamics

We study infinite limits of neural network quantum states ( $\infty$ -NNQS), which exhibit representation power through ensemble statistics, and also tractable gradient descent dynamics. Ensemble averages of entanglement entropies are expressed in terms of neural network correlators, and architectur...

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Bibliografiske detaljer

Principais autores:	Di Luo, James Halverson
Format:	Artigo
Sprog:	Inglês
Udgivet:	IOP Publishing 2023-01-01
Serier:	Machine Learning: Science and Technology
Fag:	neural network quantum state neural tangent kernel transverse field Ising model Fermi Hubbard model quantum state supervised learning neural network Gaussian process
Online adgang:	https://doi.org/10.1088/2632-2153/ace02f
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