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20182026
most citedBackflow Transformations via Neural Networks for Quantum Many-Body Wave-Functions

177 citations · 720 across the 22 of their papers we have counts for

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Showing 2020Show all

5 papers · 1 filter

cond-mat.str-el2020★ 35 cited

Gauge equivariant neural networks for quantum lattice gauge theories

Di Luo, Giuseppe Carleo, Bryan K. Clark +1

Gauge symmetries play a key role in physics appearing in areas such as quantum field theories of the fundamental particles and emergent degrees of freedom in quantum materials. Mot…

cond-mat.str-el2020★ 78 cited

Autoregressive Transformer Neural Network for Simulating Open Quantum Systems via a Probabilistic Formulation

Di Luo, Zhuo Chen, Juan Carrasquilla +1

The theory of open quantum systems lays the foundations for a substantial part of modern research in quantum science and engineering. Rooted in the dimensionality of their extended…

cond-mat.str-el2020★ 26 cited

Protocol Discovery for the Quantum Control of Majoranas by Differentiable Programming and Natural Evolution Strategies

Luuk Coopmans, Di Luo, Graham Kells +2

Quantum control, which refers to the active manipulation of physical systems described by the laws of quantum mechanics, constitutes an essential ingredient for the development of…

hep-lat2020

(1+1)-d U(1) Quantum link models from effective Hamiltonians of dipolar molecules

Jiayu Shen, Di Luo, Michael Highman +4

We study the promising idea of using dipolar molecular systems as analog quantum simulators for quantum link models, which are discrete versions of lattice gauge theories. In a qua…

cond-mat.mtrl-sci2020★ 142 cited

Deep Learning Enabled Strain Mapping of Single-Atom Defects in 2D Transition Metal Dichalcogenides with Sub-picometer Precision

Chia-Hao Lee, Abid Khan, Di Luo +9

2D materials offer an ideal platform to study the strain fields induced by individual atomic defects, yet challenges associated with radiation damage have so-far limited electron m…