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Status: Unchecked Keyword: transfer matrix method 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.

    Unchecked2 claims
    Show 2 claims
    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.”

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