Quantum Annealing for Machine Learning: Applications in Feature Selection, Instance Selection, and Clustering

Chloe Pomeroy, Aleksandar Pramov, Karishma Thakrar +1

This paper explores the applications of quantum annealing (QA) and classical simulated annealing (SA) to a suite of combinatorial optimization problems in machine learning, namely…