Dresden 2020 – scientific programme
The DPG Spring Meeting in Dresden had to be cancelled! Read more ...
Parts | Days | Selection | Search | Updates | Downloads | Help
TT: Fachverband Tiefe Temperaturen
TT 47: Poster Session Correlated Electrons 2
TT 47.19: Poster
Wednesday, March 18, 2020, 15:00–19:00, P2/3OG
Artificial Neural Networks Ansatz for Quantum Integrable Models — •Dennis Wagner1,2, Andreas Klümper1, and Jesko Sirker2 — 1Begische Universität Wuppertal — 2University of Manitoba
Computing wave functions of quantum many-body systems is in general an exponentially hard problem. However, wave functions are required to calculate correlation functions. To approximate these wave functions, Artificial Neural Networks (ANN) have been considered.
In our work we investigate why this specific wave function ansatz seems to be useful for certain integrable models and how it can be improved. Furthermore, we try to get a deeper insight into quasi-local charges and compute dynamic correlation functions effectively.