A gap for PPT entanglement
Mathematical Physics
2018-07-17 v1 math.MP
Abstract
Let W be a finite dimensional vector space over a field with characteristic not equal to 2. Denote by Sym(V) and Skew-Sym(V) the subspaces of symmetric and skew-symmetric tensors of a subspace V of W⊗W, respectively. In this paper we show that if V is generated by tensors with tensor rank 1, V=Sym(V)⊕Skew-Sym(V) and W is the smallest vector space such that V⊂W⊗W then dim(Sym(V))≥max{dim(W)2dim(Skew-Sym(V)),2dim(W)}. This result has a straightforward application to the separability problem in Quantum Information Theory: If ρ∈Mk⊗Mk≃Mk2 is separable then rank(Id+F)ρ(Id+F)≥max{r2rank(Id−F)ρ(Id−F),2r}, where F∈Mk⊗Mk is the flip operator, Id∈Mk⊗Mk is the identity and r is the marginal rank of ρ+FρF. We prove the sharpness of this inequality. Moreover, we show that if ρ∈Mk⊗Mk is positive under partial transposition (PPT) and rank (Id+F)ρ(Id+F)=1 then ρ is separable. This result follows from Perron-Frobenius theory. We also present a large family of PPT matrices satisfying rank(Id+F)ρ(Id+F)≥r≥r−12rank(Id−F)ρ(Id−F). There is a possibility that an entangled PPT matrix ρ∈Mk⊗Mk satisfying 1<rank(Id+F)ρ(Id+F)<r2rank(Id−F)ρ(Id−F) exists. However, the family referenced above shows that finding one shall not be trivial.
Cite
@article{arxiv.1609.07079,
title = {A gap for PPT entanglement},
author = {Daniel Cariello},
journal= {arXiv preprint arXiv:1609.07079},
year = {2018}
}