Quantum Hamiltonian-Based Models and the Variational Quantum Thermalizer Algorithm

4 October 2019

Guillaume Verdon

Papers citing "Quantum Hamiltonian-Based Models and the Variational Quantum Thermalizer Algorithm"

21 / 21 papers shown

Title
On the similarity of bandwidth-tuned quantum kernels and classical kernels Roberto Flórez Ablan M. Roth Jan Schnabel 109 2 0 07 Mar 2025
Training-efficient density quantum machine learning Brian Coyle El Amine Cherrat Nishant Jain Natansh Mathur Snehal Raj Skander Kazdaghli Iordanis Kerenidis 117 5 0 30 May 2024
Learning to learn with quantum neural networks via classical neural networks Guillaume Verdon Michael Broughton Jarrod R. McClean Kevin J Sung Ryan Babbush Zhang Jiang Hartmut Neven Masoud Mohseni 49 197 0 11 Jul 2019
Parameterized quantum circuits as machine learning models Marcello Benedetti Erika Lloyd Stefan H. Sack Mattia Fiorentini 114 901 0 18 Jun 2019
Generating Diverse High-Fidelity Images with VQ-VAE-2 Ali Razavi Aaron van den Oord Oriol Vinyals DRL BDL 156 1,828 0 02 Jun 2019
TensorNetwork: A Library for Physics and Machine Learning Chase Roberts A. Milsted M. Ganahl Adam Zalcman Bruce Fontaine Yijian Zou Jack Hidary G. Vidal Stefan Leichenauer AI4CE PINN 80 110 0 03 May 2019
Large Scale GAN Training for High Fidelity Natural Image Synthesis Andrew Brock Jeff Donahue Karen Simonyan 276 5,407 0 28 Sep 2018
Neural Ordinary Differential Equations T. Chen Yulia Rubanova J. Bettencourt David Duvenaud AI4CE 457 5,176 0 19 Jun 2018
Quantum generative adversarial networks Pierre-Luc Dallaire-Demers N. Killoran GAN AI4CE 50 362 0 23 Apr 2018
Understanding disentangling in $β$ -VAE Christopher P. Burgess I. Higgins Arka Pal Loic Matthey Nicholas Watters Guillaume Desjardins Alexander Lerchner CoGe DRL 71 832 0 10 Apr 2018
Towards Quantum Machine Learning with Tensor Networks W. Huggins P. Patil K. B. Whaley E. Stoudenmire 120 346 0 30 Mar 2018
Barren plateaus in quantum neural network training landscapes Jarrod R. McClean Sergio Boixo V. Smelyanskiy Ryan Babbush Hartmut Neven 106 1,828 0 29 Mar 2018
Optimizing the Latent Space of Generative Networks Piotr Bojanowski Armand Joulin David Lopez-Paz Arthur Szlam GAN 104 418 0 18 Jul 2017
Multiplicative Normalizing Flows for Variational Bayesian Neural Networks Christos Louizos Max Welling BDL 167 462 0 06 Mar 2017
Lossy Image Compression with Compressive Autoencoders Lucas Theis Wenzhe Shi Andrew Cunningham Ferenc Huszár 77 1,056 0 01 Mar 2017
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network C. Ledig Lucas Theis Ferenc Huszár Jose Caballero Andrew Cunningham ... Andrew P. Aitken Alykhan Tejani J. Totz Zehan Wang Wenzhe Shi GAN 252 10,729 0 15 Sep 2016
Semantic Image Inpainting with Deep Generative Models Raymond A. Yeh Chen Chen Teck-Yian Lim Alex Schwing M. Hasegawa-Johnson Minh Do GAN VLM 92 1,176 0 26 Jul 2016
Variational Inference with Normalizing Flows Danilo Jimenez Rezende S. Mohamed DRL BDL 324 4,198 0 21 May 2015
Deep Learning in Neural Networks: An Overview Jürgen Schmidhuber HAI 252 16,405 0 30 Apr 2014
Auto-Encoding Variational Bayes Diederik P. Kingma Max Welling BDL 486 16,916 0 20 Dec 2013
A General Algorithm for Approximate Inference and its Application to Hybrid Bayes Nets D. Koller U. Lerner Dragomir Anguelov TPM 117 161 0 23 Jan 2013