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Improvements to Gradient Descent Methods for Quantum Tensor Network
  Machine Learning

Improvements to Gradient Descent Methods for Quantum Tensor Network Machine Learning

3 March 2022
F. Barratt
J. Dborin
L. Wright
ArXivPDFHTML

Papers citing "Improvements to Gradient Descent Methods for Quantum Tensor Network Machine Learning"

4 / 4 papers shown
Title
Tensor Network-Constrained Kernel Machines as Gaussian Processes
Tensor Network-Constrained Kernel Machines as Gaussian Processes
Frederiek Wesel
Kim Batselier
22
0
0
28 Mar 2024
Efficient Finite Initialization for Tensorized Neural Networks
Efficient Finite Initialization for Tensorized Neural Networks
Alejandro Mata Ali
Inigo Perez Delgado
Marina Ristol Roura
Aitor Moreno-Fernandez-de-Leceta
15
2
0
11 Sep 2023
Tensor networks for quantum machine learning
Tensor networks for quantum machine learning
Hans-Martin Rieser
Frank Köster
A. Raulf
22
21
0
21 Mar 2023
Pruning and Quantization for Deep Neural Network Acceleration: A Survey
Pruning and Quantization for Deep Neural Network Acceleration: A Survey
Tailin Liang
C. Glossner
Lei Wang
Shaobo Shi
Xiaotong Zhang
MQ
150
674
0
24 Jan 2021
1