91 citations · 345 across the 14 of their papers we have counts for
3 papers · 1 filter
Time Dependent Variational Principle for Tree Tensor Networks
Daniel Bauernfeind, Markus Aichhorn
We present a generalization of the Time Dependent Variational Principle (TDVP) to any finite sized loop-free tensor network. The major advantage of TDVP is that it can be employed…
Comparison of MPS based real time evolution algorithms for Anderson Impurity Models
Daniel Bauernfeind, Markus Aichhorn, Hans Gerd Evertz
We perform a detailed comparison of two Matrix Product States (MPS) based time evolution algorithms for Anderson Impurity Models. To describe the bath, we use both the star-geometr…
Bayesian parametric analytic continuation of Green's functions
Michael Rumetshofer, Daniel Bauernfeind, Wolfgang von der Linden
Bayesian parametric analytic continuation (BPAC) is proposed for the analytic continuation of noisy imaginary-time Green's function data as, e.g., obtained by continuous-time quant…