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20172022
most citedSymmetries and many-body excited states with neural-network quantum states

249 citations · 1.4k across the 20 of their papers we have counts for

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Showing 2019Show all

5 papers · 1 filter

physics.comp-ph2019★ 248 cited

Fermionic neural-network states for ab-initio electronic structure

Kenny Choo, Antonio Mezzacapo, Giuseppe Carleo

Neural-network quantum states have been successfully used to study a variety of lattice and continuous-space problems. Despite a great deal of general methodological developments,…

cond-mat.str-el2019★ 61 cited

Emergent Black Hole Dynamics in Critical Floquet Systems

Bastien Lapierre, Kenny Choo, Clément Tauber +3

While driven interacting quantum matter is generically subject to heating and scrambling, certain classes of systems evade this paradigm. We study such an exceptional class in peri…

quant-ph2019★ 121 cited

NetKet: A Machine Learning Toolkit for Many-Body Quantum Systems

Giuseppe Carleo, Kenny Choo, Damian Hofmann +15

We introduce NetKet, a comprehensive open source framework for the study of many-body quantum systems using machine learning techniques. The framework is built around a general and…

cond-mat.str-el2019★ 243 cited

Study of the Two-Dimensional Frustrated J1-J2 Model with Neural Network Quantum States

Kenny Choo, Titus Neupert, Giuseppe Carleo

The use of artificial neural networks to represent quantum wave-functions has recently attracted interest as a way to solve complex many-body problems. The potential of these varia…

cond-mat.other2019★ 106 cited

Topological many-body scar states in dimensions 1, 2, and 3

Seulgi Ok, Kenny Choo, Christopher Mudry +3

We propose an exact construction for atypical excited states of a class of non-integrable quantum many-body Hamiltonians in one dimension (1D), two dimensions (2D), and three dimen…