Muñoz-Gil, Gorka
- Quantum computing and artificial intelligence: status and perspectives
2025/05/29 by Giovanni Acampora, Andris Ambainis, Acampora, Giovanni +75 · 6 voices · 4 citations
Computer Science · Physics and Astronomy · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Quantum Physics (quant-ph) #cs.AI #cs.LG #quant-ph
- Objective comparison of methods to decode anomalous diffusion
2021/05/14 by Muñoz-Gil, Gorka, Volpe, Giovanni, Garcia-March, Miguel Angel +31 · 3 citations
#Biological Physics (physics.bio-ph) #Data Analysis #FOS: Biological sciences #FOS: Physical sciences #Quantitative Methods (q-bio.QM) #Soft Condensed Matter (cond-mat.soft) #Statistics and Probability (physics.data-an)
- Quantitative evaluation of methods to analyze motion changes in single-particle experiments
2023/11/29 by Gorka Muñoz, Muñoz-Gil, Gorka, Harshith Bachimanchi +37 · 4 citations
Biochemistry, Genetics and Molecular Biology · Medicine · #Advanced Fluorescence Microscopy Techniques #Advanced MRI Techniques and Applications #Biological Physics (physics.bio-ph) #Data Analysis #FOS: Biological sciences #FOS: Physical sciences #Quantitative Methods (q-bio.QM) #Soft Condensed Matter (cond-mat.soft) #Statistics and Probability (physics.data-an)
- Modern applications of machine learning in quantum sciences
2022/04/08 by Anna Dawid, Dawid, Anna, Julian Arnold +55 · 2 citations
Computer Science · Materials Science · #Disordered Systems and Neural Networks (cond-mat.dis-nn) #FOS: Physical sciences #Machine Learning in Materials Science #Mesoscale and Nanoscale Physics (cond-mat.mes-hall) #Quantum Computing Algorithms and Architecture #Quantum Physics (quant-ph)
- Learning minimal representations of stochastic processes with variational autoencoders
2023/07/21 by Fernández-Fernández, Gabriel, Manzo, Carlo, Lewenstein, Maciej +2 · 2 citations
#Biological Physics (physics.bio-ph) #Data Analysis #FOS: Biological sciences #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Quantitative Methods (q-bio.QM) #Soft Condensed Matter (cond-mat.soft) #Statistics and Probability (physics.data-an)
- Learning Minimal Representations of Many-Body Physics from Snapshots of a Quantum Simulator
2025/09/17 by Frederik Møller, Møller, Frederik, Gabriel Fernández-Fernández +9 · 1 voice · 2 citations
Computer Science · Physics and Astronomy · #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Quantum Physics (quant-ph) #cs.LG #quant-ph
- Interpretable representation learning of quantum data enabled by probabilistic variational autoencoders
2025/06/13 by Paulin de Schoulepnikoff, de Schoulepnikoff, Paulin, Gorka Muñoz-Gil +5 · 1 voice · 2 citations
Computer Science · Physics and Astronomy · #FOS: Computer and information sciences #FOS: Physical sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Quantum Physics (quant-ph) #Statistical Mechanics (cond-mat.stat-mech) #cond-mat.stat-mech #cs.LG #quant-ph