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In recent years, neural quantum states have emerged as a powerful variational approach, achieving state-of-the-art accuracy when representing the ground-state wave function of a great variety of quantum many-body systems, including spin lattices, interacting fermions or continuous-variable systems.
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I. B. Spielman, W. D. Phillips, and J. V. Porto · 2007
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Andreas M. Läuchli and Corinna Kollath · 2008
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Marek M. Rams, Piotr Czarnik, and Lukasz Cincio · 2018
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Kenny Choo, Giuseppe Carleo, Nicolas Regnault, and Titus Neupert · 2018
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Nonlinear Network Description for Many-Body Quantum Systems in Continuous Space
Michele Ruggeri, Saverio Moroni, and Markus Holzmann · 2018
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Backflow Transformations via Neural Networks for Quantum Many-Body Wave Functions
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