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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
