Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Masaya Watabe"'
Autor:
Masaya Watabe, Kodai Shiba, Chih-Chieh Chen, Masaru Sogabe, Katsuyoshi Sakamoto, Tomah Sogabe
Publikováno v:
Quantum Reports, Vol 3, Iss 2, Pp 333-349 (2021)
Quantum computing has the potential to outperform classical computers and is expected to play an active role in various fields. In quantum machine learning, a quantum computer has been found useful for enhanced feature representation and high-dimensi
Externí odkaz:
https://doaj.org/article/c7036951e2434c3580593e3e8eb89f09
Autor:
Katsuyoshi Sakamoto, Masaya Watabe, Masaru Sogabe, Tomah Sogabe, Kodai Shiba, Chih-Chieh Chen
Publikováno v:
ACM Transactions on Quantum Computing. 2:1-24
Applying quantum processors to model a high-dimensional function approximator is a typical method in quantum machine learning with potential advantage. It is conjectured that the unitarity of quantum circuits provides possible regularization to avoid
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::06daed8ad072d77667a1d154821760c5
https://doi.org/10.1145/3466797
https://doi.org/10.1145/3466797
Autor:
Katsuyoshi Sakamoto, Chih-Chieh Chen, Kodai Shiba, Tomah Sogabe, Masaru Sogabe, Masaya Watabe
Publikováno v:
Quantum Reports
Volume 3
Issue 2
Pages 21-349
Quantum Reports, Vol 3, Iss 21, Pp 333-349 (2021)
Volume 3
Issue 2
Pages 21-349
Quantum Reports, Vol 3, Iss 21, Pp 333-349 (2021)
Quantum computing has the potential to outperform classical computers and is expected to play an active role in various fields. In quantum machine learning, a quantum computer has been found useful for enhanced feature representation and high-dimensi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dfd20f3193dba4ed12de4a1c078f53db