22 citations · 89 across the 10 of their papers we have counts for
Showing 2020Show all
2 papers · 1 filter
math.PR2020★ 1 cited
The self-similar evolution of stationary point processes via persistent homology
Daniel Spitz, Anna Wienhard
Persistent homology provides a robust methodology to infer topological structures from point cloud data. Here we explore the persistent homology of point clouds embedded into a pro…
cond-mat.quant-gas2020★ 22 cited
Finding self-similar behavior in quantum many-body dynamics via persistent homology
Daniel Spitz, Jürgen Berges, Markus K. Oberthaler +1
Inspired by topological data analysis techniques, we introduce persistent homology observables and apply them in a geometric analysis of the dynamics of quantum field theories. As…