Format results

Inspiring new research directions with AI
Mario Krenn Max Planck Institute for the Science of Light

Quantum manybody dynamics in two dimensions with artificial neural networks
Markus Heyl Max Planck Institute for the Physics of Complex Systems

Controlling Majorana zero modes with machine learning
Luuk Coopmans Dublin Institute for Advanced Studies

Physical footprints of intrinsic sign problems
Zohar Ringel Hebrew University of Jerusalem

Phase Detection with Neural Networks: Interpreting the Black Box
Anna DawidŁękowska University of Warsaw

Reinforcement Learning assisted Quantum Optimization
Matteo Wauters SISSA International School for Advanced Studies

Aspect of Information in Classical and Quantum Neural Networks
Huitao Shen Massachusetts Institute of Technology (MIT)  Department of Physics

MetaLearning Algorithms and their Applications to Quantum Computing
Mat Kallada Mila  Quebec Artificial Intelligence Institute

Solving physics manybody problems with deep learning
Frank Noe Freie Universität Berlin


Simulating quantum annealing via projective quantum Monte Carlo algorithms
Estelle Maeva Inack Perimeter Institute for Theoretical Physics
