A nonlinear criterion for characterizing high-dimensional multipartite entanglement

Understanding entanglement of potentially high-dimensional multipartite quantum systems is crucial across different disciplines in quantum sciences. We take inspiration from covariance matrix based techniques to derive a nonlinear criterion that can be used to lower bound the dimensionality vector of mixed quantum states, revealing both the level of multipartiteness and the dimensionality of the entanglement in the quantum states. The technique is based on a system of inequalities that has to be satisfied by all quantum states with a given entanglement dimensionality vector, which can be checked via linear programming. We test our condition on paradigmatic classes of high-dimensional multipartite entangled states like imperfect Greenberger-Horne-Zeilinger (GHZ) states and find that, in comparison with other available criteria our method provides a significant advantage, which is enhanced especially in the case that the dimensions of the individual particles are different from each other.