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1803.09780
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Quantum Entanglement in Deep Learning Architectures
26 March 2018
Yoav Levine
Or Sharir
Nadav Cohen
Amnon Shashua
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Papers citing
"Quantum Entanglement in Deep Learning Architectures"
50 / 61 papers shown
Tractable Shapley Values and Interactions via Tensor Networks
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Tsung-Han Lee
Ao Chen
Nicola Lanatà
Hong Guo
86
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Adaptive Neural Quantum States: A Recurrent Neural Network Perspective
Jake McNaughton
Mohamed Hibat-Allah
79
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24 Jul 2025
Seeding neural network quantum states with tensor network states
Ryui Kaneko
Shimpei Goto
174
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30 Jun 2025
Quantum RNNs and LSTMs Through Entangling and Disentangling Power of Unitary Transformations
Ammar Daskin
232
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10 May 2025
Compositionality Unlocks Deep Interpretable Models
Thomas Dooms
Ward Gauderis
Geraint A. Wiggins
José Oramas
FAtt
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AI4CE
222
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03 Apr 2025
Lecture Notes on Linear Neural Networks: A Tale of Optimization and Generalization in Deep Learning
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Noam Razin
276
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25 Aug 2024
Hybrid Quantum Neural Network in High-dimensional Data Classification
Haotian Chen
Yen-Jui Chang
Shih-Wei Liao
Ching-Ray Chang
140
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02 Dec 2023
Pairing-based graph neural network for simulating quantum materials
Di Luo
David D. Dai
Liang Fu
316
12
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03 Nov 2023
Generative Learning of Continuous Data by Tensor Networks
SciPost Physics (SciPost Phys.), 2023
Alex Meiburg
Jing Chen
Jacob Miller
Raphaëlle Tihon
Guillaume Rabusseau
A. Perdomo-Ortiz
215
8
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31 Oct 2023
Provable learning of quantum states with graphical models
Liming Zhao
Naixu Guo
Maohui Luo
Patrick Rebentrost
151
4
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17 Sep 2023
Fundamental Limits of Deep Learning-Based Binary Classifiers Trained with Hinge Loss
T. Getu
Georges Kaddoum
M. Bennis
311
1
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13 Sep 2023
Neural-network quantum state study of the long-range antiferromagnetic Ising chain
Physical Review E (PRE), 2023
Jicheol Kim
Dongkyu Kim
Dong-Hee Kim
274
1
0
18 Aug 2023
Data-driven criteria for quantum correlations
Mateusz Krawczyk
J. Pawłowski
Maciej M. Ma'ska
K. Roszak
113
7
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20 Jul 2023
ANTN: Bridging Autoregressive Neural Networks and Tensor Networks for Quantum Many-Body Simulation
Neural Information Processing Systems (NeurIPS), 2023
Zhuo Chen
Laker Newhouse
E. Chen
Di Luo
Marin Soljacic
337
14
0
04 Apr 2023
Tensor networks for quantum machine learning
Proceedings of the Royal Society A (Proc. R. Soc. A), 2023
Hans-Martin Rieser
Frank Köster
A. Raulf
167
40
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21 Mar 2023
What Makes Data Suitable for a Locally Connected Neural Network? A Necessary and Sufficient Condition Based on Quantum Entanglement
Neural Information Processing Systems (NeurIPS), 2023
Yotam Alexander
Nimrod De La Vega
Noam Razin
Nadav Cohen
342
6
0
20 Mar 2023
Artificial intelligence for artificial materials: moiré atom
Di Luo
Aidan P. Reddy
T. Devakul
L. Fu
284
4
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14 Mar 2023
Tensor Networks Meet Neural Networks: A Survey and Future Perspectives
Xinjian Zhao
Yu Pan
Zenglin Xu
Xiangli Yang
Guangxi Li
A. Cichocki
Andrzej Cichocki
587
36
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22 Jan 2023
Towards Neural Variational Monte Carlo That Scales Linearly with System Size
Or Sharir
G. Chan
Anima Anandkumar
165
6
0
21 Dec 2022
Review of Ansatz Designing Techniques for Variational Quantum Algorithms
Junhan Qin
217
21
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07 Dec 2022
On the Ability of Graph Neural Networks to Model Interactions Between Vertices
Neural Information Processing Systems (NeurIPS), 2022
Noam Razin
Tom Verbin
Nadav Cohen
376
17
0
29 Nov 2022
Quantum Split Neural Network Learning using Cross-Channel Pooling
Won Joon Yun
Hankyul Baek
Joongheon Kim
294
8
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12 Nov 2022
Gauge Equivariant Neural Networks for 2+1D U(1) Gauge Theory Simulations in Hamiltonian Formulation
Di Luo
Shunyue Yuan
J. Stokes
B. Clark
170
19
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06 Nov 2022
Identification of quantum entanglement with Siamese convolutional neural networks and semi-supervised learning
Physical Review Applied (Phys. Rev. Appl.), 2022
J. Pawłowski
Mateusz Krawczyk
243
6
0
13 Oct 2022
Lattice Convolutional Networks for Learning Ground States of Quantum Many-Body Systems
SDM (SDM), 2022
Cong Fu
Xuan Zhang
Huixin Zhang
Hongyi Ling
Shenglong Xu
Shuiwang Ji
143
14
0
15 Jun 2022
Fast and Reliable Evaluation of Adversarial Robustness with Minimum-Margin Attack
International Conference on Machine Learning (ICML), 2022
Ruize Gao
Jiongxiao Wang
Kaiwen Zhou
Yifan Zhang
Binghui Xie
Gang Niu
Bo Han
James Cheng
AAML
169
18
0
15 Jun 2022
Conditional Seq2Seq model for the time-dependent two-level system
Bin Yang
Mengxi Wu
W. Teizer
64
1
0
06 Jun 2022
Blind Estimation of a Doubly Selective OFDM Channel: A Deep Learning Algorithm and Theory
T. Getu
N. Golmie
D. Griffith
202
2
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30 May 2022
Classical versus Quantum: comparing Tensor Network-based Quantum Circuits on LHC data
Jack Y. Araz
M. Spannowsky
302
14
0
21 Feb 2022
Implicit Regularization in Hierarchical Tensor Factorization and Deep Convolutional Neural Networks
International Conference on Machine Learning (ICML), 2022
Noam Razin
Asaf Maman
Nadav Cohen
421
33
0
27 Jan 2022
Explainable Natural Language Processing with Matrix Product States
J. Tangpanitanon
Chanatip Mangkang
P. Bhadola
Yuichiro Minato
D. Angelakis
Thiparat Chotibut
166
7
0
16 Dec 2021
Tensor network to learn the wavefunction of data
Physical Review Research (Phys. Rev. Res.), 2021
A. Dymarsky
K. Pavlenko
186
7
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15 Nov 2021
The Inductive Bias of In-Context Learning: Rethinking Pretraining Example Design
International Conference on Learning Representations (ICLR), 2021
Yoav Levine
Noam Wies
Daniel Jannai
D. Navon
Yedid Hoshen
Amnon Shashua
AI4CE
275
42
0
09 Oct 2021
Which transformer architecture fits my data? A vocabulary bottleneck in self-attention
International Conference on Machine Learning (ICML), 2021
Noam Wies
Yoav Levine
Daniel Jannai
Amnon Shashua
219
22
0
09 May 2021
Scaling of neural-network quantum states for time evolution
Sheng-Hsuan Lin
F. Pollmann
240
28
0
21 Apr 2021
Neural tensor contractions and the expressive power of deep neural quantum states
Physical review B (PRB), 2021
Or Sharir
Amnon Shashua
Giuseppe Carleo
208
82
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18 Mar 2021
Tensor networks and efficient descriptions of classical data
Sirui Lu
Márton Kanász-Nagy
I. Kukuljan
J. I. Cirac
153
34
0
11 Mar 2021
Entangled q-Convolutional Neural Nets
V. Anagiannis
Miranda C. N. Cheng
128
5
0
06 Mar 2021
Implicit Regularization in Tensor Factorization
International Conference on Machine Learning (ICML), 2021
Noam Razin
Asaf Maman
Nadav Cohen
282
56
0
19 Feb 2021
Linear Frequency Principle Model to Understand the Absence of Overfitting in Neural Networks
Chinese Physics Letters (CPL), 2021
Yaoyu Zhang
Yaoyu Zhang
Zheng Ma
Zhi-Qin John Xu
187
23
0
30 Jan 2021
Gauge Invariant and Anyonic Symmetric Transformer and RNN Quantum States for Quantum Lattice Models
Physical Review Research (Phys. Rev. Res.), 2021
Di Luo
Zhuo Chen
Kaiwen Hu
Zhizhen Zhao
V. M. Hur
B. Clark
AI4CE
143
42
0
18 Jan 2021
Residual Matrix Product State for Machine Learning
SciPost Physics (SciPost Phys.), 2020
Ye Meng
Jing Zhang
Peng Zhang
Chao Gao
Shi-Ju Ran
162
14
0
22 Dec 2020
Hybrid quantum-classical classifier based on tensor network and variational quantum circuit
Samuel Yen-Chi Chen
Chih-Min Huang
Chia-Wei Hsing
Y. Kao
232
54
0
30 Nov 2020
Quantum Deformed Neural Networks
Roberto Bondesan
Max Welling
AI4CE
264
5
0
21 Oct 2020
Supervised Learning with Projected Entangled Pair States
Physical review B (PRB), 2020
Song Cheng
Lei Wang
Pan Zhang
131
59
0
12 Sep 2020
A divide-and-conquer algorithm for quantum state preparation
Israel F. Araujo
D. Park
Francesco Petruccione
A. J. D. Silva
166
202
0
04 Aug 2020
Approximation Theory of Tree Tensor Networks: Tensorized Univariate Functions -- Part I
Mazen Ali
A. Nouy
269
16
0
30 Jun 2020
The Depth-to-Width Interplay in Self-Attention
Yoav Levine
Noam Wies
Or Sharir
Hofit Bata
Amnon Shashua
375
51
0
22 Jun 2020
Implicit Regularization in Deep Learning May Not Be Explainable by Norms
Noam Razin
Nadav Cohen
302
163
0
13 May 2020
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