Gil-Fuster, Elies https://orcid.org/0000-0003-0411-9757
Eisert, Jens https://orcid.org/0000-0003-3033-1292
Dunjko, Vedran https://orcid.org/0000-0002-2632-7955
Funding for this research was provided by:
QuantERA (HQCC)
Quantum Flagship (Millenion)
Quantum Software Consortium (024.003.037)
European Union (101080142)
Munich Quantum Valley (K-8)
Berlin Mathematics Research Center MATH+ (Cluster of Excellence)
Deutsche Forschungsgemeinschaft (CRC 183)
Quantum Delta NL program
Einstein Stiftung Berlin (Einstein Research Unit on Quantum Devices)
Bundesministerium für Wirtschaft und Klimaschutz (EniQma)
Nederlandse Organisatie voor Wetenschappelijk Onderzoek (NWO/OCW)
Bundesministerium für Bildung und Forschung (MUNIQC-Atoms)
Article Title: On the expressivity of embedding quantum kernels
Journal Title: Machine Learning: Science and Technology
Article Type: paper
Copyright Information: © 2024 The Author(s). Published by IOP Publishing Ltd
Publication dates
Date Received: 2023-10-16
Date Accepted: 2024-03-01
Online publication date: 2024-04-02