Recurrent neural network wave functions for Rydberg atom arrays on kagome lattice

Rydberg atom array experiments have demonstrated the ability to act as powerful quantum simulators, preparing strongly-correlated phases of matter which are challenging to study for conventional computer simulations. A key direction has been the implementation of interactions on frustrated geometrie...

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Veröffentlicht in:	arXiv.org 2024-05
Hauptverfasser:	Hibat-Allah, Mohamed, Merali, Ejaaz, Torlai, Giacomo, Melko, Roger G, Carrasquilla, Juan
Format:	Artikel
Sprache:	eng
Schlagworte:	Arrays Autoregressive models Computer simulation Ground state Hamiltonian functions Kagome lattice Monte Carlo simulation Neural networks Order parameters Phase diagrams Recurrent neural networks Simulators Spin liquid Wave functions
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