Kernel methods in Quantum Machine Learning
| Autor: | Alessandra Di Pierro, Riccardo Mengoni |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
Class (computer programming)
Theoretical computer science Quantum machine learning Scale (ratio) Computer science Applied Mathematics Quantum Machine Learning Quantum computing Kernel methods TheoryofComputation_GENERAL Kernel methods Computational intelligence Quantum computing Theoretical Computer Science Kernel method Computational Theory and Mathematics Artificial Intelligence ComputerSystemsOrganization_MISCELLANEOUS Quantum Software Quantum computer Quantum Machine Learning |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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