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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...

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Principais autores: 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
Formato: Artigo
Idioma:Inglês
Publicado em: MDPI AG 2024-05-01
coleção:Axioms
Assuntos:
quantum computing
deep learning
quantum machine learning
classical-quantum neural networks
vision transformers
supervised learning
Acesso em linha:https://www.mdpi.com/2075-1680/13/5/323
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