Style-based quantum generative adversarial networks for monte carlo events

HIGHLIGHTS

• who: Carlos Bravo-Prieto and colleagues from the Institute have published the paper: Style-based quantum generative adversarial networks for Monte Carlo events, in the Journal: (JOURNAL)
• what: Motivated by this idea, the authors propose to investigate the possibility of using QNNs for generative modeling . More specifically, the authors explore the uses of QNNs for the generation of Monte Carlo events through quantum generative adversarial networks (qGANs) . The study presented in this manuscript should be considered both as an improvement over the state-of-the-art from the algorithmic point of view, and as a . . .
  

   

  

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