Speaker
Description
Tensor networks have demonstrated their suitability to describe equilibrium states of LGT in small spatial dimensions, where it has been possible to realize continuum limit extrapolations with record precision. And they are also a most adequate tool to design and benchmark quantum simulation protocols.
Real time evolution poses a more challenging scenario, which escapes the reach of the most traditional LGT methods but is physically relevant for experimental and fundamental questions. TNS methods can in principle address some dynamical problems, also for LGT, but are subject to limitations. Understanding them is furthermore crucial to determine a possible quantum advantage in these setups.
In this talk I will review the status of TNS simulations for LGT problems, with especial interest in recent and ongoing studies that tackle dynamical scenarios.
