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Machine learning representations of many-body quantum states have recently been introduced as an ansatz to describe the ground states and unitary evolutions of many-body quantum systems.
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I. Glasser, N. Pancotti, M. August, I. D. Rodriguez, and J. I. Cirac, “Neural-network quantum states, string-bond states, and chiral topological states,” Phys. Rev. X 8
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2018
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