Time-Dependent Variational Principle for Open Quantum Systems with Artificial Neural Networks.
Phys Rev Lett
; 127(23): 230501, 2021 Dec 03.
Article
en En
| MEDLINE
| ID: mdl-34936784
ABSTRACT
We develop a variational approach to simulating the dynamics of open quantum many-body systems using deep autoregressive neural networks. The parameters of a compressed representation of a mixed quantum state are adapted dynamically according to the Lindblad master equation by employing a time-dependent variational principle. We illustrate our approach by solving the dissipative quantum Heisenberg model in one dimension for up to 40 spins and in two dimensions for a 4×4 system and by applying it to the simulation of confinement dynamics in the presence of dissipation.
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Colección:
01-internacional
Base de datos:
MEDLINE
Idioma:
En
Revista:
Phys Rev Lett
Año:
2021
Tipo del documento:
Article
País de afiliación:
Alemania