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Keyword: volume-law entanglement ×Clear all

2 claims from 1 paper

1. Physics and Astronomy › Quantum many-body systems

   Generalized transfer matrix states from artificial neural networks

   Pastori, Kaubruegger and Budich · Physical review. B./Physical review. B · 2019

   The paper proposes generalized transfer matrix states, a neural-network-based family that includes matrix product states and can capture longer-ranged quantum correlations, and tests them numerically.

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   1. Unchecked“While the state amplitude of generic deep ANNs cannot be exactly evaluated, that of a GTMS network can be analytically computed using transfer matrix methods.”
   2. UncheckedIn one worked example using variational Monte Carlo, generalized transfer matrix states represent critical quantum many-body ground states to good accuracy.“By means of an explicit example using variational Monte Carlo, we also show that GTMS can parametrize critical quantum many-body ground states to a good accuracy.”