Tensor network simulation of multi-environmental open quantum dynamics via machine learning and entanglement renormalisation

Simulating ultrafast quantum dissipation in molecular excited states is a strongly demanding computational task. Here, the authors combine tensor network simulation, entanglement renormalisation and machine learning to simulate linear vibronic models, and test the method by analysing singlet fission...

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Autores principales: Florian A. Y. N. Schröder, David H. P. Turban, Andrew J. Musser, Nicholas D. M. Hine, Alex W. Chin
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2019
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Q
Acceso en línea:https://doaj.org/article/d3bfe9f28a474dacaa1376b861424f7e
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