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Quantum machine learning is an emergent field that continues to draw significant interest for its potential to offer improvements over classical algorithms in certain areas. However, training quantum models remains a challenging task, largely because
Externí odkaz:
http://arxiv.org/abs/2411.11954
Quantum machine learning aims to improve learning methods through the use of quantum computers. If it is to ever realize its potential, many obstacles need to be overcome. A particularly pressing one arises at the prediction stage because the outputs
Externí odkaz:
http://arxiv.org/abs/2406.13812
Autor:
Recio Armengol, Erik
Publikováno v:
Dipòsit Digital de la UB
Universidad de Barcelona
Universidad de Barcelona
Màster Oficial de Ciència i Tecnologia Quàntiques / Quantum Science and Technology, Facultat de Física, Universitat de Barcelona. Curs: 2021-2022. Tutor: Antonio Acín, co-tutors: Korbinian Kottmann, Paolo Stornati
We are setting up a pipeli
We are setting up a pipeli
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::00a4d322a10eb39772ab6efd7887f79d
http://hdl.handle.net/2445/189366
http://hdl.handle.net/2445/189366