Hybrid Quantum Vision Transformers for Event Classification in High Energy Physics

Models based on vision transformer architectures are considered state-of-the-art when it comes to image classification tasks. However, they require extensive computational resources both for training and deployment. The problem is exacerbated as the amount and complexity of the data increases. Quant...

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Bibliografiske detaljer

Principais autores:	Eyup B. Unlu, Marçal Comajoan Cara, Gopal Ramesh Dahale, Zhongtian Dong, Roy T. Forestano, Sergei Gleyzer, Daniel Justice, Kyoungchul Kong, Tom Magorsch, Konstantin T. Matchev, Katia Matcheva
Format:	Artigo
Sprog:	Inglês
Udgivet:	MDPI AG 2024-03-01
Serier:	Axioms
Fag:	quantum computing deep learning quantum machine learning vision transformers supervised learning classification
Online adgang:	https://www.mdpi.com/2075-1680/13/3/187
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