Cargando…
Dual-Parameterized Quantum Circuit GAN Model in High Energy Physics
<!--HTML-->Generative Models, and Generative Adversarial Networks (GAN) in particular, are being studied as possible alternatives to Monte Carlo. Meanwhile, it has also been proposed that, in certain circumstances, simulation using GANs can itself be sped-up by using quantum GANs (qGANs). Our...
Autor principal: | Chang, Su Yeon |
---|---|
Lenguaje: | eng |
Publicado: |
2021
|
Materias: | |
Acceso en línea: | http://cds.cern.ch/record/2767275 |
Ejemplares similares
-
Dual-Parameterized Quantum Circuit GAN Model in High Energy Physics
por: Chang, Su Yeon, et al.
Publicado: (2021) -
Porting HEP Parameterized Calorimeter Simulation Code to GPUs
por: Leggett, Charles
Publicado: (2021) -
Quantum GAN
por: Chang, Su Yeon
Publicado: (2021) -
Multi-Objective Evolutionary Architecture Search for Parameterized Quantum Circuits
por: Ding, Li, et al.
Publicado: (2023) -
Quantum Gate Pattern Recognition and Circuit Optimization for Scientific Applications
por: Terashi, Koji
Publicado: (2021)