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Computational Approaches to ManyElectron Problems
Bo Xiao Flatiron Institute

Learning the sign structures of quantum systems: is it hard or trivial?
Tom Westerhout Radboud Universiteit Nijmegen


Entanglement features of random neural network quantum states
Xiaoqi Sun University of Illinois UrbanaChampaign


Within Chaos lies Advantage: BeyondClassical Quantum Computation with Superconducting Qubits
Xiao Mi Alphabet (United States)


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