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1609.02542
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Quantum-Assisted Learning of Hardware-Embedded Probabilistic Graphical Models
8 September 2016
Marcello Benedetti
John Realpe-Gómez
R. Biswas
A. Perdomo-Ortiz
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Papers citing
"Quantum-Assisted Learning of Hardware-Embedded Probabilistic Graphical Models"
21 / 21 papers shown
Title
Quantum thermodynamics and semi-definite optimization
Nana Liu
Michele Minervini
Dhrumil Patel
Mark M. Wilde
83
0
0
07 May 2025
Training an Ising Machine with Equilibrium Propagation
Jérémie Laydevant
Danijela Marković
Julie Grollier
91
34
0
22 May 2023
Recent Advances for Quantum Neural Networks in Generative Learning
Jinkai Tian
Xiaoyun Sun
Yuxuan Du
Shanshan Zhao
Qing Liu
...
Xingyao Wu
Min-hsiu Hsieh
Tongliang Liu
Wen-Bin Yang
Dacheng Tao
AI4CE
98
85
0
07 Jun 2022
High-quality Thermal Gibbs Sampling with Quantum Annealing Hardware
J. Nelson
Marc Vuffray
A. Lokhov
T. Albash
Carleton Coffrin
60
25
0
03 Sep 2021
Non-parametric Semi-Supervised Learning in Many-body Hilbert Space with Rescaled Logarithmic Fidelity
Wei-Ming Li
Shi-Ju Ran
66
2
0
01 Jul 2021
Assessment of image generation by quantum annealer
Takehito Sato
Masayuki Ohzeki
Kazuyuki Tanaka
39
16
0
15 Mar 2021
Variational inference with a quantum computer
Marcello Benedetti
Brian Coyle
Mattia Fiorentini
M. Lubasch
Matthias Rosenkranz
BDL
83
38
0
11 Mar 2021
Defence against adversarial attacks using classical and quantum-enhanced Boltzmann machines
Aidan Kehoe
P. Wittek
Yanbo Xue
Alejandro Pozas-Kerstjens
AAML
82
7
0
21 Dec 2020
The prospects of quantum computing in computational molecular biology
C. Outeiral
M. Strahm
Jiye Shi
Garrett M. Morris
S. Benjamin
Charlotte M. Deane
85
184
0
26 May 2020
Quantum machine learning and quantum biomimetics: A perspective
L. Lamata
AI4CE
94
57
0
25 Apr 2020
Quantum Semantic Learning by Reverse Annealing an Adiabatic Quantum Computer
Lorenzo Rocutto
C. Destri
E. Prati
AI4CE
16
21
0
25 Mar 2020
Quantum-inspired annealers as Boltzmann generators for machine learning and statistical physics
Alexander Ulanov
E. Tiunov
A. Lvovsky
AI4CE
47
7
0
18 Dec 2019
Comparison of D-Wave Quantum Annealing and Classical Simulated Annealing for Local Minima Determination
Y. Koshka
Mark A. Novotny
38
29
0
08 Nov 2019
Efficient training of energy-based models via spin-glass control
S. Al-Fedaghi
Gorka Muñoz-Gil
Eloy Piñol
Miguel Ángel García-March
A. Acín
Maciej Lewenstein
Przemysław R. Grzybowski
35
8
0
03 Oct 2019
Information Scrambling in Quantum Neural Networks
Huitao Shen
Pengfei Zhang
Yi-Zhuang You
H. Zhai
GNN
64
47
0
26 Sep 2019
Generative training of quantum Boltzmann machines with hidden units
N. Wiebe
Leonard Wossnig
57
35
0
23 May 2019
Towards Sampling from Nondirected Probabilistic Graphical models using a D-Wave Quantum Annealer
Y. Koshka
Mark A. Novotny
27
11
0
01 May 2019
Quantum-assisted associative adversarial network: Applying quantum annealing in deep learning
M. Wilson
T. Vandal
Tad Hogg
E. Rieffel
GAN
BDL
64
36
0
23 Apr 2019
Measurement-based adaptation protocol with quantum reinforcement learning in a Rigetti quantum computer
Julio Olivares-Sánchez
J. Casanova
Enrique Solano
L. Lamata
67
38
0
19 Nov 2018
The Expressive Power of Parameterized Quantum Circuits
Yuxuan Du
Min-hsiu Hsieh
Tongliang Liu
Dacheng Tao
84
93
0
29 Oct 2018
Differentiable Learning of Quantum Circuit Born Machine
Jin-Guo Liu
Lei Wang
118
233
0
11 Apr 2018
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