-
18:00
Machine learning parameters of attosecond pulses based on photoelectron momentum distributions
-
Tomasz Szoldra
(Jagiellonian University in Krakow)
-
18:00
Continuous Machine Learning with generated radio galaxy data
-
Florian Griese
(TU Hamburg)
-
18:00
Classification of quantum phases with quantum machine learning
-
Teresa Sancho-Lorente
( Instituto de Nanociencia y Materiales de Arag ́on (INMA) and Departamento de F ́ısica de la Materia Condensada)
-
18:00
Building separable approximations for quantum states via neural networks
-
Antoine Girardin
-
18:00
Object detection on GaN quantum wells SEM images incorporating YOLO network Model
-
Mahdi Khalili Hezarjaribi
(Institut für Angewandte Physik, Technische Universität Braunschweig)
-
18:00
SciFi: An Embedded Asset Store to Organize and Optimize Data Files for Machine Learning
-
Martin Poppinga
(Universität Hamburg)
-
18:00
Estimating the entangling power of a two-qubit gate from measurement data: artificial neural networks versus standard tomography methods
-
Salwa Shaglel
(Universität Siegen)
-
18:00
Adding connections in a restricted Boltzmann machine and testing the Regularized Axons family in deeper architectures
-
Eloy Piñol Jimenez
(ICFO - Institute of Photonic Sciences)
-
18:00
Utilising charge state distributions for calibration of intense XFEL pulses with Bayesian optimisation
-
Niels Breckwoldt
(Universität Hamburg, Center for Free-Electron Laser Science CFEL)
-
18:00
Topological characterization of dynamic chiral magnetic textures using machine learning
-
Tim Matthies
(Universität Hamburg)
-
18:00
Quantum magnetic skyrmions using neural network quantum states
-
Ashish Joshi
(Kyoto University)
-
18:00
Neural quantum states for the simulation of nonequilibrium quantum systems
-
Damian Hofmann
(Max Planck Institute for the Structure and Dynamics of Matter)