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.
Wang et al., Boson sampling with 20 input pho- tons and a 60-mode interferometer in a 10 14-dimensional Hilbert space, Phys
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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.