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pro vyhledávání: '"Natansh Mathur"'
Autor:
El Amine Cherrat, Iordanis Kerenidis, Natansh Mathur, Jonas Landman, Martin Strahm, Yun Yvonna Li
Publikováno v:
Quantum, Vol 8, p 1265 (2024)
In this work, quantum transformers are designed and analysed in detail by extending the state-of-the-art classical transformer neural network architectures known to be very performant in natural language processing and image analysis. Building upon t
Externí odkaz:
https://doaj.org/article/d4e3a02e176243288c2d04413c72ca02
Autor:
Jonas Landman, Natansh Mathur, Yun Yvonna Li, Martin Strahm, Skander Kazdaghli, Anupam Prakash, Iordanis Kerenidis
Publikováno v:
Quantum, Vol 6, p 881 (2022)
Quantum machine learning techniques have been proposed as a way to potentially enhance performance in machine learning applications. In this paper, we introduce two new quantum methods for neural networks. The first one is a quantum orthogonal neura
Externí odkaz:
https://doaj.org/article/11457b1c67114f5b94fc87d808e72a2c