Neural networks reconstruct classical mutual information and specific entropy from limited projective measurements in the antiferromagnetic quantum Ising model, enabling reconstruction of the phase diagram even for delocalized paramagnetic states.
Ursell, The evaluation of Gibbs’ phase-integral for imperfect gases, in Mathematical Proceedings of the Cambridge Philosophical Society, Vol
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Estimating classical mutual information between quantum subsystems with neural networks
Neural networks reconstruct classical mutual information and specific entropy from limited projective measurements in the antiferromagnetic quantum Ising model, enabling reconstruction of the phase diagram even for delocalized paramagnetic states.