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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"

11 / 11 papers shown
Title
Quantum thermodynamics and semi-definite optimization
Quantum thermodynamics and semi-definite optimization
Nana Liu
Michele Minervini
Dhrumil Patel
Mark M. Wilde
69
0
0
07 May 2025
Quantum machine learning: a classical perspective
Quantum machine learning: a classical perspective
C. Ciliberto
Mark Herbster
Alessandro Davide Ialongo
Massimiliano Pontil
Andrea Rocchetto
Simone Severini
Leonard Wossnig
AI4CE
83
441
0
26 Jul 2017
A Study of Complex Deep Learning Networks on High Performance,
  Neuromorphic, and Quantum Computers
A Study of Complex Deep Learning Networks on High Performance, Neuromorphic, and Quantum Computers
T. Potok
Catherine D. Schuman
Steven R. Young
Robert M. Patton
F. Spedalieri
Jeremy Liu
Ke-Thia Yao
Garrett S. Rose
Gangotree Chakma
56
81
0
15 Mar 2017
Basic protocols in quantum reinforcement learning with superconducting
  circuits
Basic protocols in quantum reinforcement learning with superconducting circuits
L. Lamata
72
72
0
18 Jan 2017
NIPS 2016 Tutorial: Generative Adversarial Networks
NIPS 2016 Tutorial: Generative Adversarial Networks
Ian Goodfellow
GAN
175
1,727
0
31 Dec 2016
Quantum Enhanced Inference in Markov Logic Networks
Quantum Enhanced Inference in Markov Logic Networks
P. Wittek
C. Gogolin
LRM
42
28
0
24 Nov 2016
Benchmarking Quantum Hardware for Training of Fully Visible Boltzmann
  Machines
Benchmarking Quantum Hardware for Training of Fully Visible Boltzmann Machines
D. Korenkevych
Yanbo Xue
Zhengbing Bian
Fabián A. Chudak
W. Macready
J. Rolfe
Evgeny Andriyash
44
34
0
14 Nov 2016
Application of Quantum Annealing to Training of Deep Neural Networks
Application of Quantum Annealing to Training of Deep Neural Networks
S. Adachi
Maxwell P. Henderson
BDL
56
240
0
21 Oct 2015
Bayesian Network Structure Learning Using Quantum Annealing
Bayesian Network Structure Learning Using Quantum Annealing
B. O’Gorman
A. Perdomo-Ortiz
Ryan Babbush
Alán Aspuru-Guzik
V. Smelyanskiy
71
101
0
15 Jul 2014
On the Challenges of Physical Implementations of RBMs
On the Challenges of Physical Implementations of RBMs
Vincent Dumoulin
Ian Goodfellow
Aaron Courville
Yoshua Bengio
AI4CE
85
60
0
18 Dec 2013
Quantum adiabatic machine learning
Quantum adiabatic machine learning
K. Pudenz
Daniel A. Lidar
92
140
0
01 Sep 2011
1