A Path Towards Quantum Advantage in Training Deep Generative Models with Quantum Annealers

4 December 2019

Papers citing "A Path Towards Quantum Advantage in Training Deep Generative Models with Quantum Annealers"

7 / 7 papers shown

Title
Hybrid model of the kernel method for quantum computers Jhordan Silveira de Borba Jonas Maziero 21 0 0 29 Oct 2024
Training Multilayer Perceptrons by Sampling with Quantum Annealers Frances Fengyi Yang Michele Sasdelli Tat-Jun Chin 29 1 0 22 Mar 2023
Generalization Metrics for Practical Quantum Advantage in Generative Models Kaitlin Gili M. Mauri A. Perdomo-Ortiz 43 7 0 21 Jan 2022
Variational Quantum Soft Actor-Critic Qingfeng Lan 27 20 0 20 Dec 2021
Quantum Annealing Formulation for Binary Neural Networks Michele Sasdelli Tat-Jun Chin MQ 32 16 0 05 Jul 2021
Training and Classification using a Restricted Boltzmann Machine on the D-Wave 2000Q Vivek Dixit R. Selvarajan M. A. Alam Travis S. Humble S. Kais 21 41 0 07 May 2020
Quantum adiabatic machine learning with zooming Alexander Zlokapa Alex Mott Joshua Job J. Vlimant Daniel A. Lidar M. Spiropulu AI4CE 13 9 0 13 Aug 2019