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Learning hard quantum distributions with variational autoencoders

Learning hard quantum distributions with variational autoencoders

2 October 2017
Andrea Rocchetto
Edward Grant
Sergii Strelchuk
Giuseppe Carleo
Simone Severini
    BDL
    DRL
ArXivPDFHTML

Papers citing "Learning hard quantum distributions with variational autoencoders"

6 / 6 papers shown
Title
Neural network quantum state with proximal optimization: a ground-state
  searching scheme based on variational Monte Carlo
Neural network quantum state with proximal optimization: a ground-state searching scheme based on variational Monte Carlo
Feng Chen
Ming Xue
21
0
0
29 Oct 2022
Flexible learning of quantum states with generative query neural
  networks
Flexible learning of quantum states with generative query neural networks
Yan Zhu
Yadong Wu
Ge Bai
Dongsheng Wang
Yuexuan Wang
G. Chiribella
24
35
0
14 Feb 2022
Quantum State Tomography with Conditional Generative Adversarial
  Networks
Quantum State Tomography with Conditional Generative Adversarial Networks
Shahnawaz Ahmed
C. Muñoz
Franco Nori
A. F. Kockum
GAN
3DPC
45
121
0
07 Aug 2020
The Born Supremacy: Quantum Advantage and Training of an Ising Born
  Machine
The Born Supremacy: Quantum Advantage and Training of an Ising Born Machine
Brian Coyle
Daniel Mills
V. Danos
E. Kashefi
27
155
0
03 Apr 2019
Revealing quantum chaos with machine learning
Revealing quantum chaos with machine learning
Y. Kharkov
V. E. Sotskov
A. A. Karazeev
E. Kiktenko
A. Fedorov
AI4CE
19
27
0
25 Feb 2019
Benefits of depth in neural networks
Benefits of depth in neural networks
Matus Telgarsky
148
602
0
14 Feb 2016
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