Quantum Machine Learning has established itself as one of the most promising applications of quantum computers and Noisy Intermediate Scale Quantum (NISQ) devices. In this paper, we review the latest developments regarding the usage of quantum computing for a particular class of machine learning algorithms known as kernel methods.

Kernel methods in Quantum Machine Learning

Alessandra Di Pierro
2019-01-01

Abstract

Quantum Machine Learning has established itself as one of the most promising applications of quantum computers and Noisy Intermediate Scale Quantum (NISQ) devices. In this paper, we review the latest developments regarding the usage of quantum computing for a particular class of machine learning algorithms known as kernel methods.
2019
Quantum Machine Learning, Quantum computing, Kernel methods
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11562/1008257
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