Zobrazeno 1 - 2
of 2
pro vyhledávání: '"Henry Makhanov"'
Publikováno v:
2022 IEEE International Conference on Quantum Computing and Engineering (QCE).
Quantum embedding learning is an important step in the application of quantum machine learning to classical data. In this paper we propose a quantum few-shot embedding learning paradigm, which learns embeddings useful for training downstream quantum
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fda915ad8e39ab0e06b0961652d29abb
https://doi.org/10.1109/qce53715.2022.00026
https://doi.org/10.1109/qce53715.2022.00026
This 13-volume set LNCS 14862-14874 constitutes - in conjunction with the 6-volume set LNAI 14875-14880 and the two-volume set LNBI 14881-14882 - the refereed proceedings of the 20th International Conference on Intelligent Computing, ICIC 2024, held
