We study the complexity of counting (weighted) planar graph homomorphism problem
Pl-GH(M) parametrized by an arbitrary symmetric non-negative real valued matrix
M. For matrices with pairwise distinct diagonal values, we prove a complete dichotomy theorem:
Pl-GH(M) is either polynomial-time tractable, or
#P-hard, according to a simple criterion. More generally, we obtain a dichotomy whenever every vertex pair of the graph represented by
M can be separated using some planar edge gadget. A key question in proving complexity dichotomies in the planar setting is the expressive power of planar edge gadgets. We build on the framework of Mančinska and Roberson to establish links between \textit{planar} edge gadgets and the theory of the \textit{quantum automorphism group}
Qut(M). We show that planar edge gadgets that can separate vertex pairs of
M exist precisely when
Qut(M) is \emph{trivial}, and prove that the problem of whether
Qut(M) is trivial is undecidable. These results delineate the frontier for planar homomorphism counting problems and uncover intrinsic barriers to extending nonplanar reduction techniques to the planar setting.
We prove a complexity dichotomy theorem for Holant Problems on
3-regular graphs with an arbitrary complex-valued edge function. Three new techniques are introduced: (1) higher dimensional iterations in interpolation; (2) Eigenvalue Shifted Pairs, which allow us to prove that a pair of combinatorial gadgets \emph{in combination} succeed in proving \#P-hardness; and (3) algebraic symmetrization, which significantly lowers the \emph{symbolic complexity} of the proof for computational complexity. With \emph{holographic reductions} the classification theorem also applies to problems beyond the basic model.