Quantum-inspired annealers as Boltzmann generators for machine learning and statistical physics

18 December 2019

Papers citing "Quantum-inspired annealers as Boltzmann generators for machine learning and statistical physics"

5 / 5 papers shown

Title
Experimental quantum homodyne tomography via machine learning E. Tiunov V. Tiunova Alexander Ulanov A. Lvovsky A. Fedorov 105 56 0 15 Jul 2019
Solving Statistical Mechanics Using Variational Autoregressive Networks Dian Wu Lei Wang Pan Zhang 102 186 0 27 Sep 2018
Quantum-Assisted Learning of Hardware-Embedded Probabilistic Graphical Models Marcello Benedetti John Realpe-Gómez R. Biswas A. Perdomo-Ortiz 66 135 0 08 Sep 2016
On the Challenges of Physical Implementations of RBMs Vincent Dumoulin Ian Goodfellow Aaron Courville Yoshua Bengio AI4CE 83 60 0 18 Dec 2013
Multi-column Deep Neural Networks for Image Classification D. Ciresan U. Meier Jürgen Schmidhuber 181 3,945 0 13 Feb 2012