Criado, Juan Carlos
- Qade: Solving Differential Equations on Quantum Annealers
2022/04/07 by Criado, Juan Carlos, Spannowsky, Michael · 3 citations
#FOS: Computer and information sciences #FOS: Physical sciences #High Energy Physics - Phenomenology (hep-ph) #High Energy Physics - Theory (hep-th) #Machine Learning (cs.LG) #Quantum Physics (quant-ph)
- Elvet -- a neural network-based differential equation and variational problem solver
2021/03/26 by Araz, Jack Y., Criado, Juan Carlos, Spannowsky, Michael · 1 citation
#FOS: Computer and information sciences #FOS: Physical sciences #High Energy Physics - Lattice (hep-lat) #High Energy Physics - Phenomenology (hep-ph) #High Energy Physics - Theory (hep-th) #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Training Neural Networks with Universal Adiabatic Quantum Computing
2023/08/24 by Abel, Steve, Criado, Juan Carlos, Spannowsky, Michael · 1 citation
#Data Analysis #FOS: Computer and information sciences #FOS: Physical sciences #High Energy Physics - Phenomenology (hep-ph) #High Energy Physics - Theory (hep-th) #Machine Learning (cs.LG) #Quantum Physics (quant-ph) #Statistics and Probability (physics.data-an)
- Higher-order corrections to phase-transition parameters in dimensional reduction
2024/06/04 by Chala, Mikael, Criado, Juan Carlos, Gil, Luis +1 · 1 citation
#Cosmology and Nongalactic Astrophysics (astro-ph.CO) #FOS: Physical sciences #High Energy Physics - Phenomenology (hep-ph) #High Energy Physics - Theory (hep-th)
- The TeraZ Mirage: New Physics Lost in Blind Directions
2025/04/23 by Chala, Mikael, Criado, Juan Carlos, Spannowsky, Michael · 2 citations
#FOS: Physical sciences #High Energy Physics - Phenomenology (hep-ph)