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Gauge Equivariant Neural Networks for 2+1D U(1) Gauge Theory Simulations
  in Hamiltonian Formulation

Gauge Equivariant Neural Networks for 2+1D U(1) Gauge Theory Simulations in Hamiltonian Formulation

6 November 2022
Di Luo
Shunyue Yuan
J. Stokes
B. Clark
ArXivPDFHTML

Papers citing "Gauge Equivariant Neural Networks for 2+1D U(1) Gauge Theory Simulations in Hamiltonian Formulation"

19 / 19 papers shown
Title
Gauge-equivariant flow models for sampling in lattice field theories
  with pseudofermions
Gauge-equivariant flow models for sampling in lattice field theories with pseudofermions
Ryan Abbott
M. S. Albergo
D. Boyda
Kyle Cranmer
D. Hackett
...
Danilo Jimenez Rezende
F. Romero-López
P. Shanahan
B. Tian
Julian M. Urban
61
43
0
18 Jul 2022
Spacetime Neural Network for High Dimensional Quantum Dynamics
Spacetime Neural Network for High Dimensional Quantum Dynamics
Jiangran Wang
Zhuo Chen
Di Luo
Zhizhen Zhao
V. M. Hur
B. Clark
101
14
0
04 Aug 2021
Neural tensor contractions and the expressive power of deep neural
  quantum states
Neural tensor contractions and the expressive power of deep neural quantum states
Or Sharir
Amnon Shashua
Giuseppe Carleo
78
63
0
18 Mar 2021
Lattice gauge equivariant convolutional neural networks
Lattice gauge equivariant convolutional neural networks
Matteo Favoni
A. Ipp
David I. Müller
Daniel Schuh
42
45
0
23 Dec 2020
Gauge equivariant neural networks for quantum lattice gauge theories
Gauge equivariant neural networks for quantum lattice gauge theories
Di Luo
Giuseppe Carleo
B. Clark
J. Stokes
47
47
0
09 Dec 2020
Sampling using $SU(N)$ gauge equivariant flows
Sampling using SU(N)SU(N)SU(N) gauge equivariant flows
D. Boyda
G. Kanwar
S. Racanière
Danilo Jimenez Rezende
M. S. Albergo
Kyle Cranmer
D. Hackett
P. Shanahan
63
127
0
12 Aug 2020
Phases of two-dimensional spinless lattice fermions with first-quantized
  deep neural-network quantum states
Phases of two-dimensional spinless lattice fermions with first-quantized deep neural-network quantum states
J. Stokes
Javier Robledo Moreno
E. Pnevmatikakis
Giuseppe Carleo
46
47
0
31 Jul 2020
Equivariant flow-based sampling for lattice gauge theory
Equivariant flow-based sampling for lattice gauge theory
G. Kanwar
M. S. Albergo
D. Boyda
Kyle Cranmer
D. Hackett
S. Racanière
Danilo Jimenez Rezende
P. Shanahan
AI4CE
45
175
0
13 Mar 2020
Gauge Equivariant Mesh CNNs: Anisotropic convolutions on geometric
  graphs
Gauge Equivariant Mesh CNNs: Anisotropic convolutions on geometric graphs
P. D. Haan
Maurice Weiler
Taco S. Cohen
Max Welling
134
131
0
11 Mar 2020
Deep neural network solution of the electronic Schrödinger equation
Deep neural network solution of the electronic Schrödinger equation
J. Hermann
Zeno Schätzle
Frank Noé
202
455
0
16 Sep 2019
Ab-Initio Solution of the Many-Electron Schrödinger Equation with Deep
  Neural Networks
Ab-Initio Solution of the Many-Electron Schrödinger Equation with Deep Neural Networks
David Pfau
J. Spencer
A. G. Matthews
W. Foulkes
72
462
0
05 Sep 2019
Cormorant: Covariant Molecular Neural Networks
Cormorant: Covariant Molecular Neural Networks
Brandon M. Anderson
Truong-Son Hy
Risi Kondor
93
425
0
06 Jun 2019
Gauge Equivariant Convolutional Networks and the Icosahedral CNN
Gauge Equivariant Convolutional Networks and the Icosahedral CNN
Taco S. Cohen
Maurice Weiler
Berkay Kicanaoglu
Max Welling
100
412
0
11 Feb 2019
3D Steerable CNNs: Learning Rotationally Equivariant Features in
  Volumetric Data
3D Steerable CNNs: Learning Rotationally Equivariant Features in Volumetric Data
Maurice Weiler
Mario Geiger
Max Welling
Wouter Boomsma
Taco S. Cohen
3DPC
93
504
0
06 Jul 2018
Clebsch-Gordan Nets: a Fully Fourier Space Spherical Convolutional
  Neural Network
Clebsch-Gordan Nets: a Fully Fourier Space Spherical Convolutional Neural Network
Risi Kondor
Zhen Lin
Shubhendu Trivedi
79
268
0
24 Jun 2018
Quantum Entanglement in Deep Learning Architectures
Quantum Entanglement in Deep Learning Architectures
Yoav Levine
Or Sharir
Nadav Cohen
Amnon Shashua
79
182
0
26 Mar 2018
Tensor field networks: Rotation- and translation-equivariant neural
  networks for 3D point clouds
Tensor field networks: Rotation- and translation-equivariant neural networks for 3D point clouds
Nathaniel Thomas
Tess E. Smidt
S. Kearnes
Lusann Yang
Li Li
Kai Kohlhoff
Patrick F. Riley
3DPC
83
969
0
22 Feb 2018
Neural-Network Quantum States, String-Bond States, and Chiral
  Topological States
Neural-Network Quantum States, String-Bond States, and Chiral Topological States
I. Glasser
Nicola Pancotti
Moritz August
I. D. Rodriguez
J. I. Cirac
126
228
0
11 Oct 2017
Group Equivariant Convolutional Networks
Group Equivariant Convolutional Networks
Taco S. Cohen
Max Welling
BDL
160
1,934
0
24 Feb 2016
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