69 citations · 432 across the 25 of their papers we have counts for
3 papers · 1 filter
Correlation-Enhanced Neural Networks as Interpretable Variational Quantum States
Agnes Valenti, Eliska Greplova, Netanel H. Lindner +1
Variational methods have proven to be excellent tools to approximate ground states of complex many body Hamiltonians. Generic tools like neural networks are extremely powerful, but…
Scalable Hamiltonian learning for large-scale out-of-equilibrium quantum dynamics
Agnes Valenti, Guliuxin Jin, Julian Léonard +2
Large-scale quantum devices provide insights beyond the reach of classical simulations. However, for a reliable and verifiable quantum simulation, the building blocks of the quantu…
Introduction to Machine Learning for the Sciences
Titus Neupert, Mark H Fischer, Eliska Greplova +2
This is an introductory machine-learning course specifically developed with STEM students in mind. Our goal is to provide the interested reader with the basics to employ machine le…