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Quantum-Assisted Learning of Hardware-Embedded Probabilistic Graphical
  Models
v1v2v3v4 (latest)

Quantum-Assisted Learning of Hardware-Embedded Probabilistic Graphical Models

8 September 2016
Marcello Benedetti
John Realpe-Gómez
R. Biswas
A. Perdomo-Ortiz
ArXiv (abs)PDFHTML

Papers citing "Quantum-Assisted Learning of Hardware-Embedded Probabilistic Graphical Models"

21 / 21 papers shown
Title
Quantum thermodynamics and semi-definite optimization
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
Quantum-assisted associative adversarial network: Applying quantum annealing in deep learning
M. Wilson
T. Vandal
Tad Hogg
E. Rieffel
GANBDL
64
36
0
23 Apr 2019
Measurement-based adaptation protocol with quantum reinforcement
  learning in a Rigetti quantum computer
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
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
Differentiable Learning of Quantum Circuit Born Machine
Jin-Guo Liu
Lei Wang
118
233
0
11 Apr 2018
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