We investigate linear maps between matrix algebras that remain positive under tensor powers, i.e., under tensoring with n copies of themselves. Completely positive and completely co-positive maps are trivial examples of this kind. We show that for every n ∈ ℕ, there exist non-trivial maps with this property and that for two-dimensional Hilbert spaces there is no non-trivial map for which this holds for all n. For higher dimensions, we reduce the existence question of such non-trivial “tensor-stable positive maps” to a one-parameter family of maps and show that an affirmative answer would imply the existence of non-positive partial transpose bound entanglement. As an application, we show that any tensor-stable positive map that is not completely positive yields an upper bound on the quantum channel capacity, which for the transposition map gives the well-known cb-norm bound. We, furthermore, show that the latter is an upper bound even for the local operations and classical communications-assisted quantum capacity, and that moreover it is a strong converse rate for this task.
The purpose of this short note is to clarify and present a general version of an interesting observation by Piani and Mora (Physic. Rev. A 75, 012305 (2007)), linking complete positivity of linear maps on matrix algebras to decomposability of their ampliations. Let
Ai,
Ci be unital C*-algebras and let
αi be positive linear maps from
Ai to
Ci, i=1,2. We obtain conditions under which any positive map
β from the minimal C*-tensor product
A1⊗minA2 to
C1⊗minC2, such that $ α_1 \otimes α_2 \geq β$, factorizes as
β=γ⊗α2 for some positive map
γ. In particular we show that when
αi:Ai→B(Hi) are completely positive (CP) maps for some Hilbert spaces
Hi (i=1,2), and
α2 is a pure CP map and
β is a CP map so that
α1⊗α2−β is also CP, then
β=γ⊗α2 for some CP map
γ. We show that a similar result holds in the context of positive linear maps when
A2=C2=B(H) and
α2=id. As an application we extend \cite[IX Theorem]{PM}( revisited recently by Huber et al in \cite{HLLM}) to show that for any linear map
τ from a unital C*-algebra
A to a C*-algebra
C, if
τ⊗idk is decomposable for some
k≥2, where
idk is the identity map on the algebra
Mk(C) of
k×k matrices, then
τ is completely positive.
Abstract We analyze positivity of a tensor product of two linear qubit maps, Φ 1 ⊗ Φ 2 . Positivity of maps Φ 1 and Φ 2 is a necessary but not a sufficient condition for positivity of Φ 1 ⊗ Φ 2 . We find a non-trivial sufficient condition for positivity of the tensor product map beyond the cases when both Φ 1 and Φ 2 are completely positive or completely co-positive. We find necessary and (separately) sufficient conditions for n -tensor-stable positive qubit maps, i.e. such qubit maps Φ that Φ ⊗ n is positive. Particular cases of 2- and 3-tensor-stable positive qubit maps are fully characterized, and the decomposability of 2-tensor-stable positive qubit maps is discussed. The case of non-unital maps is reduced to the case of appropriate unital maps. Finally, n -tensor-stable positive maps are used in characterization of multipartite entanglement, namely, in the entanglement depth detection.
Using the natural duality between linear functionals on tensor products of
C∗-algebras with the trace class operators on a Hilbert space
H and linear maps of the
C∗-algebra into
B(H), we give two characterizations of separability, one relating it to abelianness of the definite set of the map, and one on tensor products of nuclear and UHF
C∗-algebras.