A gap for PPT entanglement

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)-Sym(V) and W is the smallest vector space such that V⊂ W W then (Sym(V))≥\2(Skew-Sym(V))(W), (W)2\. This result has a straightforward application to the separability problem in Quantum Information Theory: If ∈ Mk Mk Mk2 is separable then rank(Id+F)(Id+F)≥max\ 2rrank(Id-F)(Id-F), r2\, where F∈ Mk Mk is the flip operator, Id∈ Mk Mk is the identity and r is the marginal rank of +F F. We prove the sharpness of this inequality. Moreover, we show that if ∈ Mk Mk is positive under partial transposition (PPT) and rank (Id+F)(Id+F)=1 then is separable. This result follows from Perron-Frobenius theory. We also present a large family of PPT matrices satisfying rank(Id+F)(Id+F)≥ r≥ 2r-1 rank(Id-F)(Id-F). There is a possibility that an entangled PPT matrix ∈ Mk Mk satisfying 1<rank(Id+F) (Id+F)<2r rank(Id-F) (Id-F) exists. However, the family referenced above shows that finding one shall not be trivial.

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