Training and Classification using a Restricted Boltzmann Machine on the
D-Wave 2000Q

Training and Classification using a Restricted Boltzmann Machine on the D-Wave 2000Q

7 May 2020

Travis S. Humble

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Papers citing "Training and Classification using a Restricted Boltzmann Machine on the D-Wave 2000Q"

18 / 18 papers shown

Title
Hyperspectral image segmentation with a machine learning model trained using quantum annealer Dawid Mazur Tomasz Rybotycki Piotr Gawron 62 0 0 03 Mar 2025
Quantum Annealing for Robust Principal Component Analysis Ian Tomeo Panos P. Markopoulos Andreas Savakis 113 0 0 28 Jan 2025
Mean-Field Assisted Deep Boltzmann Learning with Probabilistic Computers S. Chowdhury Shaila Niazi Kerem Y Çamsarı AI4CE 63 2 0 03 Jan 2024
Projected Stochastic Gradient Descent with Quantum Annealed Binary Gradients Maximilian Krahn Michele Sasdelli Fengyi Yang Vladislav Golyanik Arno Solin Tat-Jun Chin Tolga Birdal MQ 170 2 0 23 Oct 2023
Probabilistic Sampling of Balanced K-Means using Adiabatic Quantum Computing Jan-Nico Zaech Martin Danelljan Tolga Birdal Luc Van Gool 51 1 0 18 Oct 2023
Quantum Image Denoising: A Framework via Boltzmann Machines, QUBO, and Quantum Annealing Phillip A. Kerger R. Miyazaki 18 5 0 13 Jul 2023
Training an Ising Machine with Equilibrium Propagation Jérémie Laydevant Danijela Marković Julie Grollier 88 34 0 22 May 2023
A hybrid quantum-classical approach for inference on restricted Boltzmann machines M. Kalis A. Locāns Rolands Sikovs H. Naseri A. Ambainis AI4CE 40 6 0 31 Mar 2023
Training Multilayer Perceptrons by Sampling with Quantum Annealers Frances Fengyi Yang Michele Sasdelli Tat-Jun Chin 42 1 0 22 Mar 2023
Training Deep Boltzmann Networks with Sparse Ising Machines Shaila Niazi Navid Anjum Aadit Masoud Mohseni S. Chowdhury Yao Qin Kerem Y Çamsarı AI4CE 77 30 0 19 Mar 2023
What is Cognitive Computing? An Architecture and State of The Art S. Elnagar Manoj A. Thomas Kweku-Muata A. Osei-Bryson 108 3 0 02 Jan 2023
On the challenges of using D-Wave computers to sample Boltzmann Random Variables Thomas Pochart Paulin Jacquot Joseph Mikael 112 9 0 30 Nov 2021
Massively Parallel Probabilistic Computing with Sparse Ising Machines Navid Anjum Aadit Andrea Grimaldi M. Carpentieri Luke Theogarajan J. Martinis G. Finocchio Kerem Y Çamsarı 123 155 0 06 Oct 2021
Quantum Machine Learning for Finance Marco Pistoia Syed Farhan Ahmad Akshay Ajagekar A. Buts Shouvanik Chakrabarti ... Pierre Minssen Pradeep Niroula Arthur G. Rattew Yue Sun Romina Yalovetzky AIFin 67 22 0 09 Sep 2021
Recent advances for quantum classifiers Weikang Li D. Deng AAML 87 87 0 30 Aug 2021
Hybrid quantum-classical machine learning for generative chemistry and drug design A. I. Gircha A. S. Boev K. Avchaciov P. Fedichev A. Fedorov AI4CE BDL 29 31 0 26 Aug 2021
Training a quantum annealing based restricted Boltzmann machine on cybersecurity data Vivek Dixit R. Selvarajan Tamer Aldwairi Yaroslav Koshka Mark A. Novotny Travis S. Humble M. A. Alam S. Kais 59 28 0 24 Nov 2020
Balanced k-Means Clustering on an Adiabatic Quantum Computer Davis Arthur Prasanna Date 97 58 0 10 Aug 2020