To reproduce the ground-state energy of a one-dimensional transverse-field Ising chain near its critical point, a restricted Boltzmann machine needs a number of weights that grows as the square of the number of qubits, while the training data needed grows only linearly.
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The learnability scaling of quantum states: restricted Boltzmann machines
To reproduce the ground-state energy of a one-dimensional transverse-field Ising chain near its critical point, a restricted Boltzmann machine needs a number of weights that grows as the square of the number of qubits, while the training data needed grows only linearly.