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20212026
most citedHybrid Quantum Vision Transformers for Event Classification in High Energy Physics

16 citations · 78 across the 28 of their papers we have counts for

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Showing 2024Show all

7 papers · 1 filter

quant-ph2024

Quantum Diffusion Model for Quark and Gluon Jet Generation

Mariia Baidachna, Rey Guadarrama, Gopal Ramesh Dahale +6

Diffusion models have demonstrated remarkable success in image generation, but they are computationally intensive and time-consuming to train. In this paper, we introduce a novel d…

quant-ph2024

Lie-Equivariant Quantum Graph Neural Networks

Jogi Suda Neto, Roy T. Forestano, Sergei Gleyzer +3

Discovering new phenomena at the Large Hadron Collider (LHC) involves the identification of rare signals over conventional backgrounds. Thus binary classification tasks are ubiquit…

quant-ph2024★ 2 cited

Quantum Attention for Vision Transformers in High Energy Physics

Alessandro Tesi, Gopal Ramesh Dahale, Sergei Gleyzer +4

We present a novel hybrid quantum-classical vision transformer architecture incorporating quantum orthogonal neural networks (QONNs) to enhance performance and computational effici…

quant-ph2024★ 15 cited

Quantum Vision Transformers for Quark-Gluon Classification

Marçal Comajoan Cara, Gopal Ramesh Dahale, Zhongtian Dong +8

We introduce a hybrid quantum-classical vision transformer architecture, notable for its integration of variational quantum circuits within both the attention mechanism and the mul…

quant-ph2024★ 16 cited

Hybrid Quantum Vision Transformers for Event Classification in High Energy Physics

Eyup B. Unlu, Marçal Comajoan Cara, Gopal Ramesh Dahale +8

Models based on vision transformer architectures are considered state-of-the-art when it comes to image classification tasks. However, they require extensive computational resource…

hep-ph2024★ 2 cited

is all you need: production of multiple semi-invisible resonances at hadron colliders

Zhongtian Dong, Kyoungchul Kong, Konstantin T. Matchev +1

The stransverse mass variable was originally proposed for the study of hadron collider events in which parent particles are produced and then decay semi-invisibly. H…

hep-ph2024

Exploring the Truth and Beauty of Theory Landscapes with Machine Learning

Konstantin T. Matchev, Katia Matcheva, Pierre Ramond +1

Theoretical physicists describe nature by i) building a theory model and ii) determining the model parameters. The latter step involves the dual aspect of both fitting to the exist…