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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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5 papers · 1 filter

cond-mat.str-el2021★ 52 cited

Gauge Invariant and Anyonic Symmetric Transformer and RNN Quantum States for Quantum Lattice Models

Di Luo, Zhuo Chen, Kaiwen Hu +3

Symmetries such as gauge invariance and anyonic symmetry play a crucial role in quantum many-body physics. We develop a general approach to constructing gauge invariant or anyonic…

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…

cond-mat.str-el2019★ 51 cited

Probabilistic Simulation of Quantum Circuits with the Transformer

Juan Carrasquilla, Di Luo, Felipe Pérez +4

The fundamental question of how to best simulate quantum systems using conventional computational resources lies at the forefront of condensed matter and quantum computation. It im…