Recent Progress in Many-Body Theories (RPMBT22)

Tensor networks and new classical heuristics

25 Sep 2024, 10:55

30m

Kasuga Auditorium (Kasuga Campus, University of Tsukuba)

Invited oral Session

Speaker

Garnet Kin-Lic Chan (California Institute of Technology)

Description

I will discuss
(i) some recent progress to improve the expressivity of tensor networks
(ii) the rate of convergence of tensor network calculations and the error dependence of this classical heuristics
(iii) some new classical algorithms for many-body systems motivated by noisy quantum simulation.