Tensor networks are entanglement-based families of states that have demonstrated their suitability to describe physically relevant states of quantum many-body problems. They can be used in particular for lattice gauge theories and, for one dimensional cases, they have allowed continuum limit extrapolations with record precision for equilibrium states.
Real time evolution, while posing a more challenging scenario, can also be addressed by these techniques, which could thus address problems that escape the most traditional LGT methods. Ongoing studies that target dynamical scenarios include string breaking phenomena, parton distribution functions or the simulation of collision experiments.