On the convex cones arising from classifications of partial entanglement in the three qubit system
Kyung Hoon Han, Seung-Hyeok Kye

TL;DR
This paper explores the structure of convex cones formed by X-shaped three-qubit states to classify partial entanglement, identifying extreme rays and criteria for separability.
Contribution
It characterizes convex cones of X-shaped states, finds their extreme rays, and provides criteria for partial separability in three-qubit systems.
Findings
Identified all extreme rays of the convex cones.
Provided necessary criteria based on diagonal and anti-diagonal entries.
Applied results to important classes like GHZ diagonal states.
Abstract
In order to classify partial entanglement of multi-partite states, it is natural to consider the convex hulls, intersections and differences of basic convex cones obtained from partially separable states with respect to partitions of systems. In this paper, we consider convex cones consisting of X-shaped three qubit states arising in this way. The class of X-shaped states includes important classes like Greenberger-Horne-Zeilinger diagonal states. We find all the extreme rays of those convex cones to exhibit corresponding partially separable states. We also give characterizations for those cones which give rise to necessary criteria in terms of diagonal and anti-diagonal entries for general three qubit states.
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On the convex cones arising from classifications of partial entanglement in the three qubit system
Kyung Hoon Han and Seung-Hyeok Kye
Kyung Hoon Han, Department of Data Science, The University of Suwon, Gyeonggi-do 445-743, Korea
Seung-Hyeok Kye, Department of Mathematics and Institute of Mathematics, Seoul National University, Seoul 151-742, Korea
Abstract.
In order to classify partial entanglement of multi-partite states, it is natural to consider the convex hulls, intersections and differences of basic convex cones obtained from partially separable states with respect to partitions of systems. In this paper, we consider convex cones consisting of X-shaped three qubit states arising in this way. The class of X-shaped states includes important classes like Greenberger-Horne-Zeilinger diagonal states. We find all the extreme rays of those convex cones to exhibit corresponding partially separable states. We also give characterizations for those cones which give rise to necessary criteria in terms of diagonal and anti-diagonal entries for general three qubit states.
1991 Mathematics Subject Classification:
81P40, 52A20, 15A69
Both KHH and SHK were partially supported by NRF-2017R1A2B4006655, Korea
1. Introduction
The notion of entanglement is now considered as an indispensable resource in the current quantum information theory. In the multi-partite systems, there are various notions of separability according to partitions of systems, which give rise to different kinds of partial entanglement. In the tri-partite system, we may consider three kinds of bi-partitions -, - and - of systems. In this way, a tri-partite state may be considered as a bi-partite state with respect to one of the above bi-partitions. It was shown in [1] that a three qubit state may be entangled even though it is separable as a bi-partite state with respect to any bi-partitions. Therefore, it is natural to classify partial separability in multi-partite systems, as they were suggested in the liturature [2, 3, 4, 5, 6, 7, 8, 9, 10]. We recall that a multi-partite state is (fully) separable if it is a convex sum of pure product states, and entangled if it is not separable.
We will work in the real vector space of all three qubit self-adjoint matrices, and consider the convex cones , and consisting of all unnormalized separable states with respect to the bi-partitions -, - and -, respectively. Recall that a subset of a real vector space is called a convex cone when and for . We note that the sum of two convex cones and is again a convex cone which coincides with the convex hull of and , that is, the smallest convex set containing and .
The above mentioned result [1] tells us that the convex cone is strictly bigger than the convex cone of all fully separable states as tri-partite states. The differences and have been considered in [4, 5], together with similar sets obtained by permuting , and . On the other hand, the convex hull and the difference have been also considered in [2] and [7], respectively. More recently, all the possible classes
[TABLE]
have been considered in [10], where is one of the following convex cones
[TABLE]
Nontrivial classes of three qubit states obtained by (1) are known to be nonempty only recently [11].
The main purposes of this note are twofold: Exhibiting three qubit states in the above classes in (2) and giving criteria for states to be members of the cones. We will do these for so called X-shaped three qubit states, whose entries are zero, by definition, except for diagonal and anti-diagonal entries. Many important states like GHZ diagonal states are of this form. An X-shaped state is also called as an X-state for brevity. In order to exhibit all the three qubit X-states in a given cone, we find all the extreme rays of the convex cone. Recall that an element of a convex cone generates an extreme ray whenever with implies that is a nonnegative multiple of for . By the abuse of the terminology, we say that itself is an extreme ray in this case. Then all the elements of convex cones in (2) are the nonnegative sums of extreme rays. Those extreme rays also play essential roles to find criteria for the dual cone. Those criteria will be expressed in terms of algebraic inequalities with the entries of X-states, which give rise to necessary criteria for general three qubit states to be a member of a given cone, in terms of diagonal and anti-diagonal entries. As for the corresponding results for full separability, we refer to the papers [12, 13, 14, 15].
Our main tool is the duality between closed convex cones in real vector spaces, and so, we will also consider the dual cones, whose members play roles of witnesses, of the cones in (2). Since the intersection and the convex hull are dual operations, we also naturally consider the intersections as well as convex hulls through the discussion. Therefore, we will consider the convex cones appearing in the following diagram
[TABLE]
which shows us partial order relations by inclusion among convex cones we are considering. The dual cones will be also discussed.
After we explain briefly the duality in the next section, we will consider the convex cones , and in Section 3 together with their dual cones. We will also consider the convex cones and in Section 4. Conditions for those convex cones with X-shaped matrices are already scattered in the literature [16, 17, 18, 19, 20]. Here, we give an alternative proof in the context of duality, together with exhibition of all extreme rays in the convex cone of X-shaped matrices in each of them. In Section 5, we deal with convex hulls and intersections of two convex cones like , and their duals. We will summarize our results in the final section.
The authors are grateful to the referee for careful reading and valuable suggestions to improve presentation.
2. duality
Let be a subset of a finite dimensional real vector space with a non-degenerating bilinear pairing , that is, for every implies . We define the dual cone by
[TABLE]
Then is a closed convex cone of in general, and is the smallest closed convex cone containing by the Hahn-Banach type separation theorem. If itself is a closed convex cone then we have , and so we see that the following are equivalent:
- •
;
- •
there exists such that .
For example, if is the closed convex cone consisting of unnormalized fully separable states in the real vector space of self-adjoint matrices in , then we see by this principle that is non-separable, that is, entangled if and only if there exists such that . Such a must be non-positive, and called an entanglement witness [21]. Here, the bilinear pairing is given by for matrices and , as usual. On the other hand, the closed convex cone of all positive matrices is self-dual, that is, , by the Hadamard theorem.
We note that the two operations, convex hull and intersection, are dual to each other. In other words, the following identities
[TABLE]
hold for closed convex cones and . The first identity follows from the definition. See [22]. The second one follows from the first one and the fact that the convex hull of two closed convex cones is closed. This is an easy consequence of Carathéodory theorem which tells us that the convex hull of a compact set is compact. We note that a convex cone spans the whole space if and only if . If we apply the above duality to the four closed convex cones , , and , then we see that the following two properties
- ()
spans the whole space; 2. ()
are dual to each other. In other words, a closed convex cone satisfies () if and only if satisfies (). Recall that the real vector space of all self-adjoint matrices in the tensor product coincides with the tensor product of the self-adjoint parts. See [15, Section 7]. This is also true for multi-tensor products by induction. Therefore, the convex cone spans the whole space . Since satisfies , we see that all the convex cones in the diagram (3) also satisfy both conditions, by the relation . We list up the dual cones of the cones in (3) as follows:
[TABLE]
We note that all the convex cones in the diagram (4) also satisfy both conditions () and (), as dual cones of the convex cones satisfying the conditions. An important consequence of () is that every element of the convex cone is a nonnegative sum of extreme rays. See [23, Theorem 18.5].
The duality is also very useful to find all the candidates for extreme rays. We say that a subset of a closed convex cone is a generating set for if every element of is the limit of nonnegative sums of finitely many elements in . This happens if and only if if and only if . In other words, we have to show that the following two statements
- •
, that is, for each ;
- •
for each
are equivalent to each other, in order to show that is a generating set for . This equivalence, in turn, gives rise to a criterion for the convex cone in terms of algebraic inequalities arising from members in the generating set . This principle will be the main tool of our discussion throughout this paper.
We note that generating sets of a convex cone are not determined uniquely. For example, the convex cone itself is also a generating set for . Furthermore, a generating set need not contain all the extreme rays. If a generating set for is closed, then its convex hull is also closed by Carathéodory theorem, and so every element of is the sum of finitely many elements in . Therefore, we conclude that a closed generating set for contains all the extreme rays of . In this way, we are looking for the set of all extreme rays of the convex cone . We summarize as follows:
Proposition 2.1**.**
For a subset of a closed convex cone in a finite dimensional real vector space , the following are equivalent:
- (i)
* is a generating set for ;* 2. (ii)
if and for each , then .
If is a closed generating set for , then we have .
In this paper, we will concentrate on the three qubit system, and so we will work in the real vector space of all self-adjoint matrices. The space has an important subspace, denoted by X, consisting of all X-shaped matrices whose entries are zero except for diagonal and anti-diagonal entries. In the three qubit case, an X-shaped self-adjoint matrix is of the form
[TABLE]
for and , where is identified with the space using the lexicographic order of indices. Many important multi-qubit states arise in this form. For example, GHZ diagonal states [24] are in this form, and an X-state is a GHZ diagonal if and only if and .
Note that and X are of and -dimensional spaces, respectively. For a given matrix , we denote by the X-part of . The map from onto X has the following important property.
Proposition 2.2**.**
For every convex cone in the diagram (3), we have the following:
- (i)
if , then ; 2. (ii)
if , then .
*Proof. * It suffices to prove for the convex cone . For the statement (i), it also suffices to show for a vector state associated with a product vector , where and . We consider the following product vectors
[TABLE]
We take the average of four vector states associated with these four product vectors, to recover the X-part of . This proves (i). For the statement (ii) with , take . For every , we see that is nonnegative, because and by (i). Therefore, we have .
Corresponding results for full separability are found in Section 3 of [12]. See also Proposition 4.1 of [15] for multi-qubit cases. If is an X-state, then , and so we have the following:
Corollary 2.3**.**
For a convex cone in the diagram (3), we have the following:
- (i)
for a three qubit X-state , we have if and only if for every X-shaped ; 2. (ii)
for a three qubit X-shaped , we have if and only if for every X-state .
Corollary 2.4**.**
For convex cones and in diagrams (3) or (4), we have the relation .
Once we characterize X-shaped matrices in the convex cones in (3) or (4), these conditions will give rise to necessary conditions for general three qubit self-adjoint matrices to belong to those convex cones, by Proposition 2.2. On the other hand, Corollary 2.3 tells us that we may restrict ourselves on the bi-linear pairing in the real vector space X for this purpose.
3. basic partial separability
In this section, we consider the three basic convex cones , , and their dual cones , , . It was shown in [20, Proposition 5.2] that an X-shaped multi-qubit state is separable with respect to a bi-partition of systems if and only if it is of positive partial transpose with respect to the same bi-partition. The PPT condition is easily checked for three qubit X-shaped states by the following inequalities
,
for . If , then the partial transposes are given by
[TABLE]
Therefore, we have the following:
Proposition 3.1**.**
[20, Proposition 5.2]* For a three qubit X-state , we have the following:*
- (i)
* if and only if both and hold;* 2. (ii)
* if and only if both and hold;* 3. (iii)
* if and only if both and hold.*
We note that inequalities ’s give us necessary criteria for general three qubit states to belong to , and , respectively, by Proposition 2.2. Now, we proceed to provide generating sets for the convex cones , and . To be motivated, we decompose an X-state in by
[TABLE]
then two summands satisfy both and . Therefore, we may assume that for . If , then is the average of two states
[TABLE]
in . If , then is a convex combination of
[TABLE]
in .
By subtracting a suitable diagonal state, it is natural to consider the following conditions
, the others are zero,
for each with . We define
[TABLE]
We also denote by the set of all extreme diagonal states, that is,
[TABLE]
where denotes the canonical basis of .
We have by Proposition 3.1, and is parameterized by four real variables. The same comments also hold for and . We also consider the following inequalities:
,
for with , in order to characterize the dual cones , and . We denote for .
Lemma 3.2**.**
For a given self-adjoint X-shaped matrix , the following are equivalent:
- (i)
* for each ;* 2. (ii)
* for , and the inequalities and hold;* 3. (iii)
* for each .*
*Proof. * For the direction (i) (ii), we obtain from for . Suppose that both and are nonzero for each . Then, we can consider the following states
[TABLE]
for , with . Since , we have
[TABLE]
by (i). When one of or is zero, we apply the result to to get the inequality for each .
For the implication (ii) (iii), it is enough to prove the following by Corollary 2.3 and Proposition 3.1:
[TABLE]
Indeed, we have
[TABLE]
which implies
[TABLE]
as it was required. The direction (iii) (i) is clear since by Proposition 3.1.
The equivalence between (ii) and (iii) of Lemma 3.2 gives rise to a characterization of the convex cone , whose members are the Choi matrix of -positive bi-linear maps between matrices in the sense of [19]. Therefore, Lemma 3.2 recovers Theorem 6.2 in [19], as follows:
Proposition 3.3**.**
[19, Theorem 6.2]* For a self-adjoint with nonnegative diagonals, we have the following:*
- (i)
* if and only if both and hold;* 2. (ii)
* if and only if both and hold;* 3. (iii)
* if and only if both and hold.*
The implication (i) (iii) of Lemma 3.2 tells us that the set is a generating set for the convex cone by Proposition 2.1. We also note that the set is closed, and so we conclude that every extreme ray of must be an element of . We show that the converse actually holds. Because states in generate extreme rays in the cone , they also generate extreme rays of the smaller convex cones listed in the diagram (3). In order to prove that every state in the set generates an extreme ray of the convex cone , we first prove a technical lemma which will play a key role in characterization of extreme rays of the other cones.
Lemma 3.4**.**
Suppose that a three qubit X-state in (respectively, and ) is decomposed as
[TABLE]
in (respectively, and ). If
[TABLE]
for or (respectively, or , and or ), then we have
[TABLE]
*Proof. * Let . We have
[TABLE]
by and the Cauchy-Schwartz inequality. Since , we have
[TABLE]
Let for . Then we have
[TABLE]
as it was required.
Theorem 3.5**.**
We have
[TABLE]
*Proof. * It suffices to show that every state in the set generates an extreme ray of the convex cone . Suppose that satisfies the condition and
[TABLE]
For , we see that implies . Applying Lemma 3.4 with and , we get , as it was required. The same argument works for the case of .
In the remainder of this section, we look for extreme rays of , and . To do this, we consider the condition
, the others are zero,
for , and define
[TABLE]
We also consider the following set
[TABLE]
Lemma 3.6**.**
For a given self-adjoint X-shaped matrix , the following are equivalent:
- (i)
* for each ;* 2. (ii)
* is a state satisfying the inequalities and ;* 3. (iii)
* for each .*
*Proof. * The equivalence between (ii) and (iii) follows from Proposition 3.1. Therefore, it suffices to show the direction (i) (ii). Since for , we have . By taking into account as in the proof of Lemma 3.2, we may assume that without loss of generality. Then, we can consider
[TABLE]
for or . Note that . We see that is a state by , and the inequalities and follow from for .
As for extreme rays of the dual cones, we also begin with a technical lemma which is a witness counterpart to Lemma 3.4.
Lemma 3.7**.**
Suppose that a three qubit self-adjoint X-shaped matrix in (respectively, and ) is decomposed as
[TABLE]
in (respectively, and ). If
[TABLE]
for or (respectively, or , and or ) and , then we have
[TABLE]
for with .
*Proof. * The condition implies . We have
[TABLE]
by and the Cauchy-Schwartz inequality. Since , we have
[TABLE]
Let for . Then we have
[TABLE]
Theorem 3.8**.**
We have
[TABLE]
*Proof. * It suffices to show that every ray in is extreme by Proposition 2.1. It is easy to see that diagonal states in generate extreme rays of the convex cone by the conditions and . For the remaining cases for , we take and may assume that satisfies
[TABLE]
Suppose that in . For , the condition implies . Combining this with , we also have . Applying Lemma 3.7 with , , we get .
4. Full bi-separability and bi-separability
In this section, we consider convex cones for full bi-separable states and for bi-separable states, together with their dual cones and , respectively. We first note that if and only if holds for every , which is equivalent to the PPT condition of [20, Theorem 5.3]. In order to find extreme rays of the cone , we consider the condition
and define
[TABLE]
We also recall the inequality
which appears in the characterization of decomposability of X-shaped entanglement witnesses in [20, Theorem 5.5].
Lemma 4.1**.**
For a given self-adjoint X-shaped matrix , the following are equivalent.
- (i)
* for each ;* 2. (ii)
* for , and the inequality holds;* 3. (iii)
* for each .*
*Proof. * For the direction (i) (ii), we first obtain from for . In order to prove the inequality , we may assume that as in the proof of Lemma 3.2. We can consider the state defined by
[TABLE]
with and . This state belongs to , and so gives rise to the inequality . For (ii) (iii), it suffices to show that for satisfying for all and satisfying by Corollary 2.3. Indeed, taking satisfying for each , we have
[TABLE]
which implies , as in (6).
Since , the equivalence (ii) (iii) in Lemma 4.1 gives another proof for [20, Theorem 5.5] which uses the duality principle.
Proposition 4.2**.**
[20, Theorem 5.5]** An X-shaped self-adjoint matrix with nonnegative diagonals belongs to if and only if the inequality holds.
For convex cones and , it is clear that in general. Therefore, we see that is contained in the union of , and by Corollary 2.4. We show that they actually coincide.
Theorem 4.3**.**
We have the following:
- (i)
; 2. (ii)
.
*Proof. * For (i), it remains to show that every PPT state in generates an extreme ray of the cone . Suppose that satisfies the condition and
[TABLE]
Applying Lemma 3.4 with all the pairs , we conclude , and this completes the proof of (i).
In order to prove (ii), it suffices to show . It is easy to see that diagonal states in generate extreme rays in the convex cone by the condition . We will show that generates an extreme ray of the cone for . Suppose that
[TABLE]
For , implies that . By , we have
[TABLE]
and so it follows that for . Therefore, the summands in (7) belong to the cone by again, and we may apply Theorem 3.8.
Now, we turn our attention to the cone and its dual cone. For each , we consider the condition
, the others are zero,
where are chosen so that are mutually distinct, and define
[TABLE]
We also consider the following inequality
.
These are exactly the inequalities which appear in the necessary criteria [16] for bi-separability. We also refer to [17] for necessary criteria of multi-qubit bi-separable states. If itself is X-shaped, then the converse is also true [18]. The authors have shown in [20, Corollary 3.4] that even a PPT mixture satisfies the multi-qubit analogue of , to recover the above characterization of bi-separability of multi-qubit X-states. We give here another alternative proof using the duality.
Lemma 4.4**.**
For a given self-adjoint X-shaped matrix , the following are equivalent.
- (i)
* for each ;* 2. (ii)
* is a state satisfying the inequality ;* 3. (iii)
* for each .*
*Proof. * For the direction (i) (ii), we first note that is a state as in the proof of Lemma 3.6. Now, we consider
[TABLE]
which belongs to , where . Then, we have
[TABLE]
The other inequalities come out by the same way.
For the direction (ii) (iii), it suffices to show the following:
[TABLE]
by Corollary 2.3 and Proposition 3.3. The inequality is trivial when is positive, that is, for all . Suppose that is not positive, and so there exists such that , say without loss of generality. We have
[TABLE]
by . Summing up, we also have
[TABLE]
which implies
[TABLE]
by and . Therefore, we have , which completes the proof by (6).
Since the dual cone of is just , we recover the following characterization of biseparability of three qubit states. Especially, every three qubit biseparable state with the X-part must satisfy the inequalities , as it was observed in [16].
Proposition 4.5**.**
[16, 20, 18]** For a three qubit X-state , the following are equivalent:
- (i)
* belongs to ;* 2. (ii)
the inequality holds.
As for extreme rays, we also have the following:
Theorem 4.6**.**
We have the following:
- (i)
; 2. (ii)
.
*Proof. * For (i), it suffices to show . Suppose that satisfies the condition , and
[TABLE]
Then we have for , which also implies that for . By the inequality , the summands in (8) must belong to the cone . Therefore, we can apply Theorem 3.5.
As for (ii), we note that matrices in and generate extreme rays in , and so they also generate extreme rays in the smaller cone . Suppose that satisfies and
[TABLE]
Applying Lemma 3.7 with ,,, we get .
It was shown in [20, Theorem 4.1] that is an optimal genuine entanglement witness. This means that the set of genuine entanglement detected by is maximal with respect to the inclusion. It is easy to see that extremeness implies optimality. We have shown in Theorem 4.6 that is extreme in the cone . It would be interesting to ask if they are extreme in the much bigger convex cone .
5. intersections and convex hulls of two basic cones
In this section, we consider the following convex cones
[TABLE]
together with their dual cones:
[TABLE]
We look for inequalities characterizing the above convex cones, together with extreme rays of the cones. As for intersections of two cones, we just put together inequalities for both cones. For a three qubit X-state , we have the following:
- •
if and only if hold;
- •
if and only if hold;
- •
if and only if hold.
For an X-shaped , we also have
- •
if and only if hold;
- •
if and only if hold;
- •
if and only if hold.
In order to find extreme rays of the cones , and , we consider the condition
, the others are zero,
for with , where are chosen so that are mutually distinct. Here, we point out that . We define
[TABLE]
and consider the following inequalities
,
for with .
Lemma 5.1**.**
For a given self-adjoint X-shaped matrix , the following are equivalent.
- (i)
* for each *(respectively, and ); 2. (ii)
* for and the inequalities and , *(respectively, and ) hold; 3. (iii)
* for each *(respectively, and ).
*Proof. * The inequalities and follow from Lemma 4.1. We will prove for . The others follow by applying the operator for permutations on . To prove (i) (ii), we may assume that all the diagonal elements and are nonzero, and consider four X-states
[TABLE]
with . These states belong to . We expand to obtain and .
For (ii) (iii), it suffices to show when satisfies , , , and satisfies by Corollary 2.3 and Proposition 3.1. If , then this is trivial by and Proposition 4.2. So, we may assume that , especially , without loss of generality. We begin with
[TABLE]
as in (6). We have for by , , and for by , . By the inequality and the assumption , we have
[TABLE]
This is nonnegative by the inequality , as it was desired.
By the equivalence (ii) (iii), we have the following criteria for the convex hull of two basic dual cones:
Theorem 5.2**.**
For a self-adjoint with nonnegative diagonals, we have the following:
- (i)
* if and only if , and hold;* 2. (ii)
* if and only if , and hold;* 3. (iii)
* if and only if , and hold.*
If is a self-adjoint three qubit matrix with the X-part , then the ‘only if’ parts hold.
Theorem 5.3**.**
We have the following:
- (i)
,
,
; 2. (ii)
,
,
.
*Proof. * (i). We will prove the first identity. Suppose that satisfies and
[TABLE]
The condition implies for by , . Applying Lemma 3.4 with and , we get .
Next, suppose that satisfies and
[TABLE]
Applying Lemma 3.4 with ,,, , we get .
(ii). States in generate extreme rays of the convex cone by Theorem 4.3. Therefore, they also generate extreme rays in the smaller cone .
Now, we look for extreme rays of (respectively, and ) to get conditions for the cone (respectively, and ). To do this, we consider the condition
, the others are zero,
for , where and are chosen so that are mutually distinct, and define
[TABLE]
We also consider the following inequalities
,
for , where are chosen so that are mutually distinct.
These inequalities have been used in [11] to get necessary conditions for a three state with the X-part to belong to , and respectively. We show in Theorem 5.5 that they provide actually sufficient conditions when itself X-shaped. Note that
- •
holds if and only if holds;
- •
holds if and only if holds;
- •
holds if and only if holds.
Lemma 5.4**.**
For a given self-adjoint X-shaped matrix , the following are equivalent.
- (i)
* for each *(respectively, and ); 2. (ii)
* is a state satisfying the inequalities *(respectively, and ) hold; 3. (iii)
* for each *(respectively, and ).
*Proof. * Although the proof of the direction (i) (ii) already appears in [11], we include it here for the completeness. We consider X-shaped three qubit self-adjoint matrices
[TABLE]
for . Then, both and belong to . We have
[TABLE]
For the implication (ii) (iii), suppose that satisfies . By Corollary 2.3, it suffices to show for every . This is trivial when is positive, that is, for all . We may assume without loss of generality that
[TABLE]
Then we have
[TABLE]
where the first and second inequalities follow from and , respectively, and the last one comes out from the equality in (9). Put . Summing up the above three inequalities, we have
[TABLE]
which implies
[TABLE]
Because by and by (9), we have
[TABLE]
This gives , and by by (6).
Because (respectively, and ) is the dual of (respectively, and ), the equivalence between (ii) and (iii) of Lemma 5.4 gives rise to the following characterization of the cone (respectively, and ) for X-states.
Theorem 5.5**.**
For a three qubit X-state , we have the following:
- (i)
* if and only if holds;* 2. (ii)
* if and only if holds;* 3. (iii)
* if and only if holds.*
For a general three qubit state with the X-part , the ‘only if’ parts hold.
Theorem 5.6**.**
We have the following:
- (i)
,
,
; 2. (ii)
,
,
.
*Proof. * (i). We will prove the first identity. Since elements in and are extremal in , they are also extremal in the smaller cone . Suppose that satisfies and
[TABLE]
Applying Lemma 3.7 with ,,,, we get .
(ii). Since states in are extremal in the convex cone by Theorem 4.6, they are also extremal in the smaller cone .
6. Summary
In this paper, we have considered the convex cones in the diagrams (3) and (4) arising from classification of partial separability/entanglement of three qubit states and their witnesses. For those convex cones, we got the following results:
- •
characterization for X-shaped matrices by algebraic inequalities, which give rise to necessary criteria for general three qubit states/witnesses in terms of diagonal and anti-diagonal entries;
- •
finding all the extreme rays of the cones consisting of X-shaped matrices, with which we may exhibit all X-shaped matrices in the cones.
We summarize the results in Table 1. We note our characterizion is one of very few cases when we may check separability by inequalities, without decomposing into the sum of pure product states. For example, we may check separability for and cases by the PPT condition. We may also check full separability of multi-qubit X-states by inequalities [14, 15, 12]. Checking separability with inequalities in this paper was possible through the duality and characterizing extreme rays of the dual cones.
This work has been partly motivated by the questions [10] on the existence of states in the seven classes arising in the classification of partial entanglement, including the following classes:
[TABLE]
together with the convex cones obtained by permuting systems. Here, , and are notations in [10]. The authors [11] gave examples of X-shaped states belonging to those classes. In this paper, we gave complete necessary and sufficient conditions for X-states to be members of the classes. For example, an X-state belongs to the class if and only if the following hold:
- •
satisfies the inequalities , and ;
- •
violates or ;
- •
violates or .
The example given in [11] satisfies , and , but violates and .
It is natural to ask what happens in the four qubit system, or arbitrary qubit systems. We began with the result [20] that an X-shaped multi-qubit state is separable with respect to a bi-partition of systems if and only if it is of positive partial transpose with respect to the same bi-partition. This was crucial to give characterizations in terms of diagonal entries and the modulus of anti-diagonal entries. But this is not the case for tri-partitions. In the three qubit system, considering tri-partition is amount to full separability. We need the phase parts, that is, the angular parts of anti-diagonal entries, as well as the modulus parts to characterize full separability of three qubit X-states. See [14, 15, 13]. We note that all kinds of partial separability come out from bi-partitions in the three qubit case. But, it is necessary to consider tri-partitions as well as bi-partitions in the four qubit case. See [9, 25]. Therefore, exploring partial separability/entanglement in general qubit system must be a very challenging project even for X-shaped states.
The reference list from the paper itself. Each links out to its DOI / PubMed record.
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