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Keyword: Z2 quantum spin liquid ×Clear all

2 claims from 1 paper

1. Physics and Astronomy › Quantum many-body systems

   Machine learning Z2 quantum spin liquids with quasiparticle statistics

   Zhang, Melko and Kim · Physical review. B./Physical review. B · 2017

   The authors build a machine-learning input sensitive to quasiparticle statistics and use it to map the phase diagram of a Z2 quantum spin liquid, citing advantages in speed and storage.

   Unchecked2 claims
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   1. UncheckedA simple feed-forward neural network was used to find the boundary between topological and trivial phases of a Z2 quantum spin liquid model.“We successfully obtain the quantum phase boundary between the topological and trivial phases using a simple feed-forward neural network.”
   2. UncheckedThe authors report that their machine-learning method for mapping topological phase diagrams has advantages in speed and storage.“Furthermore, we demonstrate advantages of our approach for the evaluation of phase diagrams relating to speed and storage.”