Neural-network quantum states for a two-leg Bose-Hubbard ladder under magnetic flux

Quantum gas systems are ideal analog quantum simulation platforms for tackling some of the most challenging problems in strongly correlated quantum matter. However, they also expose the urgent need for new theoretical frameworks. Simple models in one dimension, well studied with conventional methods...

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Veröffentlicht in:	arXiv.org 2022-12
Hauptverfasser:	Çeven, K, Oktel, M Ö, Keleş, A
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial neural networks Coupling Fluids Magnetic flux Mathematical analysis Neural networks Numerical methods Phase diagrams Physics - Disordered Systems and Neural Networks Physics - Quantum Gases Physics - Strongly Correlated Electrons Superfluidity
Online-Zugang:	Volltext
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