Speaker: Mihály Máté (Wigner RCP)
Title: Studying strongly correlated systems with tensor network methods and partitioning techniques
Date: Tuesday, 1 July 2025. 10:00
Place: Building 1, Conference room
Abstract:
In general, there is no universally superior method in quantum chemistry that simultaneously offers both high accuracy and low computational cost. Tensor network methods, where the computational demands are governed by the tensor ranks, have become vital tools for addressing strongly correlated, that is, multireference problems in quantum chemistry. Hybrid tensor network approaches can be developed to capture the correlation in the system [1,2], which will be discussed in the context of partitioning techniques and perturbation theory [3].
[1] Faulstich, Máté, Laestadius, Csirik, Veis, Antalik, Brabec, Schneider, Pittner, Kvaal, Legeza. J. Chem. Theory Comput., 15, 2206 (2019)
[2] Friesecke, Barcza, Legeza, J. Chem. Theory Comput., 20, 87 (2024)
[3] Friesecke, Legeza, Máté. In prepatation
