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Keyword: topological entanglement entropy ×Clear all

1 claim from 1 paper

1. Physics and Astronomy › Quantum many-body systems

   Investigating topological order using recurrent neural networks

   Hibat-Allah, Melko and Carrasquilla · Physical review. B./Physical review. B · 2023

   The authors use 2D recurrent neural networks as wave functions for the toric code and a kagome-lattice Bose-Hubbard spin liquid, and estimate their topological entanglement entropies.

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   1. UncheckedThe paper reports that recurrent neural networks tend to settle on superpositions of minimally-entangled states rather than on those individual states.“We also find that RNNs favor coherent superpositions of minimally-entangled states over minimally-entangled states themselves.”