9 citations · 9 across the 1 of their papers we have counts for
5 papers
Self-organized criticality in neural networks
Mikhail I. Katsnelson, Vitaly Vanchurin, Tom Westerhout
We demonstrate, both analytically and numerically, that learning dynamics of neural networks is generically attracted towards a self-organized critical state. The effect can be mod…
lattice-symmetries: A package for working with quantum many-body bases
Tom Westerhout
Exact diagonalization (ED) is one of the most reliable and established numerical methods of quantum many-body theory. The main limiting factor of the method is the exponential scal…
Kinetic samplers for neural quantum states
Andrey A. Bagrov, Askar A. Iliasov, Tom Westerhout
Neural quantum states (NQS) are a novel class of variational many-body wave functions that are very flexible in approximating diverse quantum states. Optimization of an NQS ansatz…
Neural Quantum States of frustrated magnets: generalization and sign structure
Tom Westerhout, Nikita Astrakhantsev, Konstantin S. Tikhonov +2
Neural quantum states (NQS) attract a lot of attention due to their potential to serve as a very expressive variational ansatz for quantum many-body systems. Here we study the main…
NetKet: A Machine Learning Toolkit for Many-Body Quantum Systems
Giuseppe Carleo, Kenny Choo, Damian Hofmann +15
We introduce NetKet, a comprehensive open source framework for the study of many-body quantum systems using machine learning techniques. The framework is built around a general and…