Quantum kernels with Gaussian state encoding for machine learning
type: Item
instance of: scholarly article
title: Quantum kernels with Gaussian state encoding for machine learning
zbMATH Open document ID: 1495.81028
author: Yanyan Li
published in: Physics Letters. A
publication date: 2022-04-29T00:00:00Z
Mathematics Subject Classification ID: 81P68
Mathematics Subject Classification ID: 68Q09
Mathematics Subject Classification ID: 68T05
Mathematics Subject Classification ID: 81R30
Mathematics Subject Classification ID: 28C20
Mathematics Subject Classification ID: 46C05
zbMATH DE Number: 7515928
zbMATH Keywords: quantum machine learning
zbMATH Keywords: continuous-variable quantum computing
describes a project that uses: PRMLT
describes a project that uses: Scikit
MaRDI profile type: Publication
full work available at URL: j.physleta.2022.128088
OpenAlex ID: W4221088362
Wikidata QID: Q114141687
cites work: Q5270493
cites work: Q5483032
cites work: Q5396710
DOI: 10.1016/J.PHYSLETA.2022.128088
Recommended article: Gaussian kernel in quantum learning
Recommended article: Enhancing quantum support vector machines through variational kernel training
Recommended article: Quantum machine learning
Recommended article: Q4688017
Recommended article: Quantum adiabatic machine learning
Recommended article: Provably efficient machine learning for quantum many-body problems
Recommended article: Optimal quantum state transformations based on machine learning
Recommended article: Quantum learning: asymptotically optimal classification of qubit states
Recommended article: Quantum driven machine learning
description: scientific article