Quantum Vision Transformers for Quark–Gluon Classification

We introduce a hybrid quantum-classical vision transformer architecture, notable for its integration of variational quantum circuits within both the attention mechanism and the multi-layer perceptrons. The research addresses the critical challenge of computational efficiency and resource constraints...

詳細記述

書誌詳細

出版年:	Axioms
主要な著者:	Marçal Comajoan Cara, Gopal Ramesh Dahale, Zhongtian Dong, Roy T. Forestano, Sergei Gleyzer, Daniel Justice, Kyoungchul Kong, Tom Magorsch, Konstantin T. Matchev, Katia Matcheva, Eyup B. Unlu
フォーマット:	論文
言語:	英語
出版事項:	MDPI AG 2024-05-01
主題:	quantum computing deep learning quantum machine learning classical-quantum neural networks vision transformers supervised learning
オンライン･アクセス:	https://www.mdpi.com/2075-1680/13/5/323