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Scaling of neural-network quantum states for time evolution
v1v2v3 (latest)

Scaling of neural-network quantum states for time evolution

21 April 2021
Sheng-Hsuan Lin
F. Pollmann
ArXiv (abs)PDFHTML

Papers citing "Scaling of neural-network quantum states for time evolution"

16 / 16 papers shown
Title
The universal approximation theorem for complex-valued neural networks
The universal approximation theorem for complex-valued neural networks
F. Voigtlaender
56
62
0
06 Dec 2020
Neural network wave functions and the sign problem
Neural network wave functions and the sign problem
A. Szabó
C. Castelnovo
96
70
0
11 Feb 2020
Deep autoregressive models for the efficient variational simulation of
  many-body quantum systems
Deep autoregressive models for the efficient variational simulation of many-body quantum systems
Or Sharir
Yoav Levine
Noam Wies
Giuseppe Carleo
Amnon Shashua
133
191
0
11 Feb 2019
Solving Statistical Mechanics Using Variational Autoregressive Networks
Solving Statistical Mechanics Using Variational Autoregressive Networks
Dian Wu
Lei Wang
Pan Zhang
88
186
0
27 Sep 2018
Quantum Entanglement in Deep Learning Architectures
Quantum Entanglement in Deep Learning Architectures
Yoav Levine
Or Sharir
Nadav Cohen
Amnon Shashua
83
182
0
26 Mar 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
133
229
0
11 Oct 2017
Attention Is All You Need
Attention Is All You Need
Ashish Vaswani
Noam M. Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan Gomez
Lukasz Kaiser
Illia Polosukhin
3DV
783
132,363
0
12 Jun 2017
PixelCNN++: Improving the PixelCNN with Discretized Logistic Mixture
  Likelihood and Other Modifications
PixelCNN++: Improving the PixelCNN with Discretized Logistic Mixture Likelihood and Other Modifications
Tim Salimans
A. Karpathy
Xi Chen
Diederik P. Kingma
113
944
0
19 Jan 2017
Aggregated Residual Transformations for Deep Neural Networks
Aggregated Residual Transformations for Deep Neural Networks
Saining Xie
Ross B. Girshick
Piotr Dollár
Zhuowen Tu
Kaiming He
522
10,347
0
16 Nov 2016
WaveNet: A Generative Model for Raw Audio
WaveNet: A Generative Model for Raw Audio
Aaron van den Oord
Sander Dieleman
Heiga Zen
Karen Simonyan
Oriol Vinyals
Alex Graves
Nal Kalchbrenner
A. Senior
Koray Kavukcuoglu
DiffM
406
7,414
0
12 Sep 2016
Densely Connected Convolutional Networks
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
Laurens van der Maaten
Kilian Q. Weinberger
PINN3DV
790
36,881
0
25 Aug 2016
Conditional Image Generation with PixelCNN Decoders
Conditional Image Generation with PixelCNN Decoders
Aaron van den Oord
Nal Kalchbrenner
Oriol Vinyals
L. Espeholt
Alex Graves
Koray Kavukcuoglu
VLM
214
2,517
0
16 Jun 2016
Wide Residual Networks
Wide Residual Networks
Sergey Zagoruyko
N. Komodakis
353
8,000
0
23 May 2016
Neural Autoregressive Distribution Estimation
Neural Autoregressive Distribution Estimation
Benigno Uria
Marc-Alexandre Côté
Karol Gregor
Iain Murray
Hugo Larochelle
81
314
0
07 May 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.2K
194,426
0
10 Dec 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
2.0K
150,312
0
22 Dec 2014
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