2 papers
physics.comp-ph2024
Learning tensor networks with tensor cross interpolation: new algorithms and libraries
Yuriel Núñez Fernández, Marc K. Ritter, Matthieu Jeannin +8
The tensor cross interpolation (TCI) algorithm is a rank-revealing algorithm for decomposing low-rank, high-dimensional tensors into tensor trains/matrix product states (MPS). TCI…
cond-mat.str-el2024
Physics-informed neural network model for quantum impurity problems based on Lehmann representation
Fumiya Kakizawa, Satoshi Terasaki, Hiroshi Shinaoka
We propose a physics-informed neural network (PINN) model to efficiently predict the self-energy of Anderson impurity models (AIMs) based on the Lehmann representation. As an examp…