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CaloQVAE : Simulating High-Energy Particle-Calorimeter Interactions Using Hybrid Quantum-Classical Generative Models

Sehmimul Hoque, Hao Jia, Abhishek, Mojde Fadaie,J. Quetzalcoatl Toledo-Marín, Tiago Vale,Roger G. Melko,Maximilian Swiatlowski, Wojciech T. Fedorko

The European Physical Journal C(2024)

University of Waterloo Faculty of Mathematics | University of British Columbia Department of Physics and Astronomy | TRIUMF | Perimeter Institute for Theoretical Physics | Simon Fraser University Department of Physics | University of Waterloo Department of Physics and Astronomy

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Abstract
The Large Hadron Collider's high luminosity era presents major computational challenges in the analysis of collision events. Large amounts of Monte Carlo (MC) simulation will be required to constrain the statistical uncertainties of the simulated datasets below these of the experimental data. Modelling of high-energy particles propagating through the calorimeter section of the detector is the most computationally intensive MC simulation task. We introduce a technique combining recent advancements in generative models and quantum annealing for fast and efficient simulation of high-energy particle-calorimeter interactions.
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要点】:本文提出了一种结合生成模型与量子退火技术的高能粒子-量能器相互作用模拟方法CaloQVAE,旨在应对大型强子对撞机高亮度时代下的计算挑战。

方法】:作者采用了一种混合量子-经典生成模型,将生成模型的能力与量子退火的计算优势结合,以实现高效的模拟。

实验】:通过实验验证了CaloQVAE的有效性,具体数据集名称在文中未提及,但实验结果表明该模型在模拟高能粒子与量能器相互作用方面具有优势。