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astro-ph.EP2025
Supervised Machine Learning Methods with Uncertainty Quantification for Exoplanet Atmospheric Retrievals from Transmission Spectroscopy
Roy T. Forestano, Konstantin T. Matchev, Katia Matcheva +1
Standard Bayesian retrievals for exoplanet atmospheric parameters from transmission spectroscopy, while well understood and widely used, are generally computationally expensive. In…
physics.comp-ph2025
Quantum generative adversarial networks for gluon initiated jets generation
Rey Guadarrama, Sergei Gleyzer, Mariia Baidachna +6
Quantum computing has the potential to offer significant advantages over classical computing, making it a promising avenue for exploring alternative methods in High Energy Physics…