Mapping cones and separable states
Erling St{\o}rmer

TL;DR
This paper explores the relationship between mapping cones, positive maps, and separable states in quantum information theory, revealing how certain compositions lead to super-positive maps and separable states.
Contribution
It establishes a connection between mapping cones, super-positive maps, and separable states, providing new insights into their structural relationships.
Findings
Composition of maps from a cone with dual cone yields super-positive maps
Super-positive maps define separable states
Close relationship between positive maps, super-positive maps, and separability
Abstract
We study mapping cones and their dual cones of positive maps of the n by n matrices into itself. For a natural class of cones there is a close relationship between maps in the cone, super-positive maps, and separable states. In particular the composition of a map from the cone with a map in the dual cone is super-positive, and so the natural state it defines is separable.
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Taxonomy
TopicsAdvanced Topics in Algebra · Advanced Operator Algebra Research · Quantum chaos and dynamical systems
Mapping cones and separable states
Erling Størmer
(07-03-2017)
Abstract
We study mapping cones and their dual cones of positive maps of the matrices into itself. For a natural class of cones there is a close relationship between maps in the cone, super-positive maps, and separable states. In particular the composition of a map from the cone with a map in the dual cone is super-positive, and so the natural state it defines is separable.
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1 Introduction
One approach to the study of positive maps between operator algebras is via mapping cones. They were introduced in [5] and are closed convex cones of positive maps closed under composition with completely positive maps. They are especially useful in finite dimensions as they yield much information on positive maps with given positivity properties, see e.g. [6]. In the present paper we shall study mapping cones which are closed under composition with all positive maps. Then we obtain characterizations of super-positive maps, also called entanglement breaking maps, and their relationship to separable operators and states.
Three classes of maps will be central in the present paper. Let denote the complex . matrices, and let be a linear map. Then is positive, written , if whenever , the positive matrices in . is completely positive if , where is the identity map on . Then is of the form , finite sum, where , and , see [6] Thm. 4.1.8. is super-positive if it is of the form , where , and is a state on . The study of positive maps is equivalent to the study of its Choi matrix denoted by and defined as follows.
[TABLE]
where , is a complete set of matrix units for . If is the usual trace on then we have, see [6], Ch. 4. iff for all , and this holds iff for all super-positive .
is completely positive iff . is super-positive iff for all positive maps iff is separable, i.e.
[TABLE]
We shall use the notation
is the cone of all positive maps of into itself.
is the cone of all completely positive maps.
is the cone of all super-positive maps.
*Acknowledgement.*The author is indebted to Geir Dahl for helpful comments on dual cones.
2 Mapping cones and their dual cones.
As above denotes the set of positive maps of into itself. A mapping cone is a closed convex cone such that implies whenever . We always assume is symmetric, i.e. implies , and , where and are defined by where t denotes the transpose.
is an invariant mapping cone if implies for all
The dual cone of is the cone
[TABLE]
Then , see [6], Section 6.2, and is a mapping cone which is invariant if is. The definitions of in the introduction can be restated as
[TABLE]
The next result with a different proof is the same as [6], Lem.5.1.5.
Lemma 1
* is an invariant mapping cone, and is also a minimal mapping cone.*
Proof. is clearly an invariant mapping con since if is a state and then is a scalar multiple of a state, so belongs to , and is also in . If and , then In particular this holds for , hence . Thus , completing the proof.
Note that is not a hereditary cone, because the trace on belongs to , and by [6], Thm. 7.5.4, if then , and so is the difference of two maps in , hence even though need not belong to .
The following theorem is central for our development of the theory to follow. It is a slight variation of Theorems 6.6 and 7.1.1 in [6]. Recall that if then is the linear functional on defined by
[TABLE]
By [6], Lem. 4.2.3, is the density matrix for . Thus is positive iff is completely positive. By [6] Prop. 5.1.4 is separable iff is separable.
Theorem 2
*Let be aa mapping cone and . Then the following conditions are equivalent.
(i)
(ii) .
(iii)
(iv) .
(v)*
Proof. The only part of the theorem which is not contained in [6],Thm. 6.1.6 is the equivalence of (ii) with the others. But we have by symmetry of that
[TABLE]
Since is symmetric, as we have assumed for all our mapping cones, iff for all , hence by the equivalence (i) (iii), iff But is symmetric, so iff , hence we have (i) (ii), completing the proof.
If is an invariant mapping cone and , conditions (ii) and (iii) can be sharpened.
Corollary 3
*Let be an invariant mapping cone and . Then the conditions in Theorem 2 are equivalent to
(vi)
(vii) *
Proof. Let . Then we have for
[TABLE]
Hence
[TABLE]
as the maps include all maps in . Thus iff for all . As in the proof of the equivalence (ii) (iii) in Theorem 2 we show (vi) (vii). The proof is complete.
If is a finite dimensional Hilbert space, and and are closed convex cones in , then the dual cone of their intersection is the closure of the sum of their dual cones, see [1]. From this we get the following corollary, which is included for completeness.
Corollary 4
Let and be mapping cones in . Then .
Proof. By the above and finite dimensionality it suffices to show that is closed in the norm topology. So let be a sequence converging to , where . We can assume for all and the same for and . Since the dimension is finite., by compactness of the unit ball in there is a subsequence of which converges to a map and a subsequence of which converges to . Thus
[TABLE]
proving the corollary.
Remark. In the sequel we shall see that maps of the form defined by are of central importance. If with range , then for a mapping cone iff . Indeed, we have , so if , and if since we can assume . Let be the inverse of in , so . , proving the converse.
Theorem 5
Let be an invariant mapping cone. Let
[TABLE]
*Assume . Then we have
(i) If and , then .
(ii) If is a projection in with , then .*
Proof. Let be as in (i). By assumption there exists a projection of rank k such that . Let be the range projection of , so by assumption . Thus there exists a partial isometry such that . Hence
[TABLE]
Thus , hence is the composition of a map in with a map in , so by Corollary 3, proving (i). To show (ii) let be a projection of rank k such that . By the above argument hence .
Corollary 6
Let n=2 and be a an invariant mapping cone in . Then either or .
Proof. Let be as in Theorem 5. Since every map in is decomposable, see [6],Thm. 6.3.1, each map is a linear combination of maps of the form or where , and denotes the transpose. If it thus follows that all maps in are super-positive, hence in . If then the identity map belongs to , so , completing the proof of the corollary.
We denote by the invariant mapping cone generated by for the rank 2 projections in , or by the remark before Theorem 5, matrices of rank 2. By the argument in the proof of Theorem 5 is the invariant mapping cone generated by a single map with e of rank 2. By Theorem 5, if , and Corollary 6 if , we have
Corollary 7
If is a projection with , and then .
Theorem 8
Let be an invariant mapping cone not contained in . Then contains .
Proof. Let , but not in . Then in particular does not belong to . We assert that there exist and projections of rank 2 such that
[TABLE]
If the assertion is false, i.e. the above map belongs to for all , then, since the maps generate , it follows from Corollary 3 that
[TABLE]
Again, since , by Corollary 3,
[TABLE]
It follows that from the last equation
[TABLE]
Since the maps generate , it follows again from Corollary 3 that , contrary to assertion at the beginning of the proof. Thus the assertion follows. We can therefore find projections and of rank 2 and such that
[TABLE]
As in the proof of Theorem 5 (i) there exists a partial isometry such that , so we can replace by , and thus find of rank 2 such that
[TABLE]
Let
[TABLE]
Since it follows by the above that . is an invariant mapping cone inside the set
[TABLE]
which is linearly isomorphic to the positive maps of into itself. By Corollary 6, since
[TABLE]
But then By assumption , and , so . Since generates as an invariant mapping cone, we thus conclude that . The proof is complete
A map is called extremal if whenever and , then for some . This can be formulated as, if is a sum of positive maps , then , so . It is shown in [6] Prop. 3.1.3. that each map of the form is extremal.
Proposition 9
*. Let be an extremal map, and let be the invariant mapping cone generated by . Then we have:
(i) If then , and
(ii) If is unital then unless is either an automorphism or anti-automorphsm.*
Proof. Ad (i). Clearly , hence by Theorem 8 . Since Ad(ii). If then the identity map Since is an extremal map it must be of the form with . Furthermore, and must be extremal, since otherwise would be a sum of several positive maps. We thus have is invertible with inverse . Thus is an order-isomorphism of onto itself. Similarly is an order-isomorphism, so that is the same. Since is unital, is either an automorphism or an anti-automorphism, see e.g. [6] Thm.2.1.3. The proof is complete.
3 PPT-states
PPT-states were introduced by Peres [4] in 1996 and are states on such that is a state, where as before is the transpose on . For a while it was believed that they were separable, but a counter example was exhibited by P. Horodecki [3] in 1997.
We call a map for a PPT-map if the corresponding linear functional is a PPT-state. The following consequences can be read out of [6], Section 7.2.
Proposition 10
*Let . Then the following conditions are equivalent.
(i) .
(ii)
(iii) is a PPT-map.*
Recall that map is decomposable, so it is of the form with , see Corollary 4. The next result is a dual version of Proposition 10. In (ii) we used that is a mapping cone with dual cone .
Proposition 11
*. Let . Then the following conditions are equivalent.
(i) .
(ii)
(iii) -maps *
If n=3, then consists of decomposable maps. For completeness we include a proof of this fact.
Lemma 12
Let n=3. Then consists of decomposable maps, hence .
Proof. Let . Then is a sum of maps with a projection of rank , and . Each map can be identified with a map , and the map with a map . By a result of Woronowicz [7], both maps are decomposable, hence so is , and therefore is decomposable, , so belongs to , proving the lemma.
Proposition 13
*. Let n=3 and be a PPT-map. Then we have:
(i) .
(ii) and .
(iii) If or is a projection of rank 2, then *
Proof. By Proposition 10 and Lemma 12 , proving (i). Thus by Corollary 3, , and for all , proving (ii). To show (iii) note that under the assumptions on range and support of or belongs to . Hence, either by (ii), or similarly for , so completing the proof.
In [2] it was shown that all PPT-states on and are separable. These results follow easily from the above results. Indeed if n=2 then by Proposition 10 and Corollary 6 we get
[TABLE]
When n=3, and is of rank 2 then, since , we can consider as a PPT-map from to . By Proposition 13(iii) . To translate this to states recall that is the density matrix for , and is separable iff .
The reference list from the paper itself. Each links out to its DOI / PubMed record.
- 1[1] J.M.Borwein and A.S.Lewis, Convex analysis and nonlinear optimation, CMS Books in Mathematics, Springer (2000).
- 2[2] M.Horodecki, P.Horodecki, and R.Horodecki, Separability of mixed states, necessary and sufficient conditions, Phys. Lett. A, 223 (1996), 1-8.
- 3[3] P.Horodecki, Separability condition, and separable mixed states with positive partial transposition, Phys. Lett. A, 232 (1997), 333.
- 4[4] A.Peres, Separability condition for density matrices, Phys. Rev. Lett. 77, (1996), 1413.
- 5[5] E.Størmer, Extension of positive maps, J. Funct. Anal. 66(2), (1986), 235-254.
- 6[6] E.Størmer, Positive linear maps of operator algebras, Springer Monographs in Math. (2013).
- 7[7] S.L.Woronowicz. Positive maps of low dimensional matrix algebras, Rep. Math. Phys. 10(2), (1976), 165-183.
