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Supervised Learning with Quantum-Inspired Tensor Networks

Supervised Learning with Quantum-Inspired Tensor Networks

18 May 2016
E. Stoudenmire
D. Schwab
    SSL
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Papers citing "Supervised Learning with Quantum-Inspired Tensor Networks"

21 / 21 papers shown
Title
HMAE: Self-Supervised Few-Shot Learning for Quantum Spin Systems
HMAE: Self-Supervised Few-Shot Learning for Quantum Spin Systems
Ibne Farabi Shihab
Sanjeda Akter
Anuj Sharma
41
0
0
06 May 2025
Grokking phase transitions in learning local rules with gradient descent
Grokking phase transitions in learning local rules with gradient descent
Bojan Žunkovič
E. Ilievski
63
16
0
26 Oct 2022
Deep tensor networks with matrix product operators
Deep tensor networks with matrix product operators
Bojan Žunkovič
72
4
0
16 Sep 2022
High-Order Pooling for Graph Neural Networks with Tensor Decomposition
High-Order Pooling for Graph Neural Networks with Tensor Decomposition
Chenqing Hua
Guillaume Rabusseau
Jian Tang
78
25
0
24 May 2022
Classical versus Quantum: comparing Tensor Network-based Quantum
  Circuits on LHC data
Classical versus Quantum: comparing Tensor Network-based Quantum Circuits on LHC data
Jack Y. Araz
M. Spannowsky
36
14
0
21 Feb 2022
More Efficient Sampling for Tensor Decomposition With Worst-Case
  Guarantees
More Efficient Sampling for Tensor Decomposition With Worst-Case Guarantees
Osman Asif Malik
36
14
0
14 Oct 2021
Quantum-inspired event reconstruction with Tensor Networks: Matrix
  Product States
Quantum-inspired event reconstruction with Tensor Networks: Matrix Product States
Jack Y. Araz
M. Spannowsky
42
16
0
15 Jun 2021
Tensor-Train Networks for Learning Predictive Modeling of
  Multidimensional Data
Tensor-Train Networks for Learning Predictive Modeling of Multidimensional Data
M. N. D. Costa
R. Attux
A. Cichocki
J. Romano
14
3
0
22 Jan 2021
Hybrid quantum-classical classifier based on tensor network and
  variational quantum circuit
Hybrid quantum-classical classifier based on tensor network and variational quantum circuit
Samuel Yen-Chi Chen
Chih-Min Huang
Chia-Wei Hsing
Y. Kao
38
49
0
30 Nov 2020
Quantum Deformed Neural Networks
Quantum Deformed Neural Networks
Roberto Bondesan
Max Welling
AI4CE
15
4
0
21 Oct 2020
Evaluation of Parameterized Quantum Circuits: on the relation between
  classification accuracy, expressibility and entangling capability
Evaluation of Parameterized Quantum Circuits: on the relation between classification accuracy, expressibility and entangling capability
T. Hubregtsen
Josef Pichlmeier
Patrick Stecher
K. Bertels
27
13
0
22 Mar 2020
Modeling Sequences with Quantum States: A Look Under the Hood
Modeling Sequences with Quantum States: A Look Under the Hood
T. Bradley
Miles E. Stoudenmire
John Terilla
83
48
0
16 Oct 2019
TensorNetwork for Machine Learning
TensorNetwork for Machine Learning
Stavros Efthymiou
Jack Hidary
Stefan Leichenauer
22
68
0
07 Jun 2019
TensorNetwork on TensorFlow: A Spin Chain Application Using Tree Tensor
  Networks
TensorNetwork on TensorFlow: A Spin Chain Application Using Tree Tensor Networks
A. Milsted
M. Ganahl
Stefan Leichenauer
Jack Hidary
G. Vidal
62
15
0
03 May 2019
Tree Tensor Networks for Generative Modeling
Tree Tensor Networks for Generative Modeling
Song Cheng
Lei Wang
Tao Xiang
Pan Zhang
15
129
0
08 Jan 2019
A Support Tensor Train Machine
A Support Tensor Train Machine
Cong Chen
Kim Batselier
Ching-Yun Ko
Ngai Wong
32
22
0
17 Apr 2018
Information Perspective to Probabilistic Modeling: Boltzmann Machines
  versus Born Machines
Information Perspective to Probabilistic Modeling: Boltzmann Machines versus Born Machines
Song Cheng
J. Chen
Lei Wang
26
101
0
12 Dec 2017
Tensor network language model
Tensor network language model
V. Pestun
Yiannis Vlassopoulos
28
36
0
27 Oct 2017
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
26
226
0
11 Oct 2017
Unsupervised Generative Modeling Using Matrix Product States
Unsupervised Generative Modeling Using Matrix Product States
Zhaoyu Han
Jun Wang
H. Fan
Lei Wang
Pan Zhang
24
268
0
06 Sep 2017
Why does deep and cheap learning work so well?
Why does deep and cheap learning work so well?
Henry W. Lin
Max Tegmark
David Rolnick
40
603
0
29 Aug 2016
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