Strict entanglement monotonicity under local operations and classical communication
Yu Guo

TL;DR
This paper establishes conditions under which certain entanglement measures strictly decrease on average under LOCC, highlighting the fundamental nature of entanglement reduction in quantum systems.
Contribution
It proves that convex roof extended entanglement monotones with strictly concave functions, as well as negativity and relative entropy of entanglement, are strict entanglement monotones.
Findings
Convex roof extended entanglement monotones with strictly concave functions are SEMs.
Negativity and relative entropy of entanglement are SEMs.
If squashed entanglement can be obtained by an optimal extension, it is a SEM.
Abstract
Entanglement monotone is defined as a convex measure of entanglement that does not increase on average under local operations and classical communication (LOCC). Here we call an entanglement monotone a strict entanglement monotone (SEM) if it decreases strictly on average under LOCC. We show that, for any convex roof extended entanglement monotone that on pure states is given by a function of the reduced states, if the function is strictly concave, then it is a SEM. Moreover, we prove that the negativity and the relative entropy of entanglement, which are not defined by the convex roof structure, are also SEMs. In addition, if the squashed entanglement could be obtained by some optimal extension, then it is a SEM as well. Our results imply that entanglement is strictly decreasing on average under LOCC.
| Continuity | Additivity | Convex | Faithfull | Relation | Monogamy | Strict decreasing111Here strict decreasing refers to the strict decreasing property of the measure under LOCC on average. | ||
|---|---|---|---|---|---|---|---|---|
| ?222? means it is unknown. | Shor2001 | Shor2001 | Strict concave | All states333The one-way distillable entanglement is monogamous Koashi | Pure states | |||
| ? | Donald2002jmp | ? | Christandl2003 ; Hayden2001jpa | Strict concave | Pure states | Pure states | ||
| ? | Strict concave | All states | ||||||
| Strict concave | All states | |||||||
| Strict concave | All states | |||||||
| Strict concave | Pure states | |||||||
| Strict concave | All states | |||||||
| Strict concave | All states | |||||||
| Strict concave | All states | |||||||
| Christandl2004jmp | Alicki | Strict concave | All states | Pure states444For mixed states, see Theorem 7. | ||||
| , | Strict concave | All states | ||||||
| , | Strict concave | All states | ||||||
| Vollbrecht | Vedral1998pra | Strict concave | Pure states | |||||
| Yang2008prl | ? | , | Strict concave555It is easy to check that for any pure state , . | Pure states | Pure states |
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Strict entanglement monotonicity under local operations and classical communication
Yu Guo
Institute of Quantum Information Science, School of Mathematics and Statistics, Shanxi Datong University, Datong, Shanxi 037009, China
Abstract
Entanglement monotone is defined as a convex measure of entanglement that does not increase on average under local operations and classical communication (LOCC). Here we call an entanglement monotone a strict entanglement monotone (SEM) if it decreases strictly on average under LOCC. We show that, for any convex roof extended entanglement monotone that on pure states is given by a function of the reduced states, if the function is strictly concave, then it is a SEM. Moreover, we prove that the negativity and the relative entropy of entanglement which are not defined by the convex roof structure, are also SEMs. In addition, if the squashed entanglement could be obtained by some optimal extension, then it is a SEM as well. Our results imply that entanglement is strictly decreasing on average under LOCC.
††preprint: APS/123-QED
Entanglement is one of the most crucial features of quantum theory as compared to classical theory, which is also considered to be a valuable resource for quantum information processing Nielsenbook ; Wildebook . To quantify the amount of entanglement contained in a composite quantum system is a fundamental problem in quantum information science and quantum physics Horodecki2009 ; Guhne ; Plenio2007 ; Donald2002jmp . The first significant milestone in this field came from the discovery that entanglement can be used as a resource for distributed quantum information processing in the frame work of local operations and classical communication (LOCC) Bennett1996 . Consequently, to identify certain a priori axioms for a good measure of entanglement, Vedral et al. Vedral1997 proposed three conditions for a quantity to be such a measure for the first time. Later, Vidal in Ref. Vidal2000 explored a more restrictive requirement on LOCC, and an additional demand of convexity is needed, and there the satisfactory measure is called an entanglement monotone.
It is interesting that these constraints on entanglement measures can be easily checked Vidal2000 : For any convex roof extended entanglement measure, it is an entanglement monotone if it can be defined by both a locally unitary invariant and a concave function on the reduced states of the pure states [see Eqs. (3) and (4) below]. Recently, we found that, for almost all entanglement measures so far, the associated functions are not only concave, but also strictly concave GG2 . More significantly, this strict concavity guarantees the monogamy of entanglement GG2 where the monogamy law is a key feature of entanglement distribution among multiparties (see Refs. GG2 ; GG ; Dhar and references therein for details). This motivates us to investigate entanglement measures deeply. In this paper, we investigate this strict concavity in a more general sense: We show that entanglement is strictly monotonic under LOCC on average for many entanglement monotones. That is, we exploit here a new property of the entanglement monotone.
Let be a bipartite Hilbert space with finite dimension, where are subsystems of the composite quantum system, and let be the set of density operators acting on . Recall that, a function is called a measure of entanglement if it satisfies Vedral1997 : (E1) iff is separable [this condition can be replaced by if is separable]; (E2) is invariant under local unitary operations, i.e., for any local unitaries and ; (E3) cannot increase under LOCC, i.e., for any LOCC . Note that (E3) implies (E2). The map is completely positive and trace preserving (CPTP). In general, LOCC can be stochastic in the sense that can be converted to with some probability . In this case, the map from to can not be described in general by a CPTP map. More than (E2), is said to be an entanglement monotone Vidal2000 if it is nonincreased on average under stochastic LOCC, i.e.,
[TABLE]
Note that Eq. (1) is more restrictive than since in such a case we cannot select subensembles according to a measurement outcome Plenio2005 . It is possible that for some . Almost all measures of entanglement studied in literature satisfy (1). The measure is said to be faithful if it is zero only on separable states.
Let be a measure of entanglement on bipartite states. The entanglement of formation associated with is defined by
[TABLE]
where the minimum is taken over all pure state decompositions of . That is, is the convex roof extension of . Vidal (Vidal2000, , Theorem 2) showed that above is an entanglement monotone on mixed bipartite states if the following concavity condition holds. For a pure state , , define the function by
[TABLE]
Note that since is invariant under local unitaries we must have for any unitary operator acting on . If is also concave, i.e.
[TABLE]
for any states , , and any , then as defined in (2) is an entanglement monotone.
It was shown in Ref. GG2 that for almost all the well-known entanglement measures, the associated function defined as in (3) is strictly concave (from which we proved that is monogamous on pure tripartite states and is monogamous on both pure and mixed tripartite states, according to our definition in Ref. GG ). Then, in the sense of Vidal Vidal2000 , what is the corresponding property of LOCC if is strict concave? We introduce here the concept of strict entanglement monotone in terms of more restriction on the LOCC in (E3). We then show that is a strict entanglement monotone if the associated function is strict concave. Going further, we will prove that many entanglement measures, such as the negativity VidalWerner , the relative entropy of entanglement Vedral1997 ; Vedral1998pra , and the squashed entanglement Christandl2004jmp (if it can be obtained by some optimal extension) are strict entanglement monotones. Our results would demonstrate that entanglement measures are strict in our sense.
For convenience, we fix some terminologies. An entanglement measure is said to be strictly decreasing on average under LOCC if for any stochastic LOCC,
[TABLE]
there exists such that
[TABLE]
where , are unitary operators on . Equivalently, an entanglement measure decreases strictly on average under LOCC if and only if
[TABLE]
holds for all states implies that the LOCC is either a local unitary operation (if the LOCC is a map from system to , then it is a local isometric operation; hereafter, we always assume with no loss of generality that the LOCCs are acting from to itself) or a convex mixture of local unitary operations. If an entanglement monotone is strictly decreasing on average under LOCC, we call it is a strict entanglement monotone (SEM). If an entanglement monotone is strictly decreasing under LOCC for pure states, we call it is a SEM on pure states.
Theorem 1**.**
Using the notations above, if is a SEM on pure states, then is a SEM as well.
Proof.
According to the LOCC scenario in Ref. VidalWerner , in order to prove that a local unitary invariant function satisfying condition (E1) is an entanglement monotone, we only need to consider a family consisting of completely positive linear maps such that , , where transforms pure states to some scalar multiple of pure states, .
Applying to , the state becomes
[TABLE]
with probability . We assume that is an entangled pure state. It yields
[TABLE]
If is a SEM on pure states and the equality holds in (8) for any pure state , then either for some local unitary operation or .
Now we assume that is mixed. Perform on and denote with probability . Observe that there exists an ensemble of such that
[TABLE]
For each , let , where . Then and by what is proved for pure states above. It follows that
[TABLE]
If for any , then , which completes the proof by the result of the case for pure states. ∎
Proposition 2**.**
* as defined in (2) is a SEM if the associated function in Eq. (3) is strictly concave, i.e, whenever , .*
Proof.
We only need to check it for pure states by Theorem 1. We use the notations as in the proof of Theorem 1 and we assume without loss of generality that , 2.
If is strictly concave, we assume that the equality holds in (8), which leads to
[TABLE]
since and , where , and . Then for any and , which implies that either for some local unitary operation or , where ’s are unitary operators on , . The proof is completed. ∎
Note that, many entanglement measures, such as entanglement of distillation , entanglement cost , the squashed entanglement Christandl2004jmp , and the relative entropy of entanglement coincide with the entanglement of formation (hereafter, we denote by the original entanglement formation HillWotters ) for pure states Donald2002jmp ; Vedral1998pra ; Christandl2004jmp . In addition, Christandl2004jmp , Vedral1998pra , and Christandl2003 ; Hayden2001jpa . Thus , , , and are SEMs on pure states, and decreases strictly under LOCC on average for pure states ( is not an entanglement monotone since it is not convex, see Table 1).
Theorem 3**.**
Let be an entanglement monotone that for pure states it is defined as in (3). Then is strictly concave if and only if for any stochastic LOCC and any pure state that satisfies
[TABLE]
for some we have (6) holds, where , .
Proof.
The ‘only if’ part is clear. Conversely, if (11) holds, it is equivalent to say that if then we must have for any . Note that ’s are pure states, it follows that for any pure state , if and only if for all . That is, is strictly concave. ∎
It is interesting that we can give another proof of part 1 in Ref. (GG2, , Theorem) from condition (11). We recall part 1 of the Theorem in Ref. GG2 : Let be an entanglement monotone for which , as defined in Eq. (3), is strictly concave. If is pure and , then has a subspace isomorphic to and up to local unitary on system ,
[TABLE]
where and are pure states. In particular, is a product state [and, consequently, ], so that is monogamous on pure tripartite states. In order to see this, we let and be orthonormal bases of and , respectively. Define
[TABLE]
It follows that
[TABLE]
Let and assume that it satisfies , . Let be an orthonormal basis of , then
[TABLE]
The action of on gives
[TABLE]
where . That is, is a pure state for any . On the other hand, obeys (11), which results in
[TABLE]
where .Note that , then following the proof of the Theorem in Ref. GG2 , we can conclude that has a subspace isomorphic to and up to local unitary on system ,
[TABLE]
where and are pure states.
In what follows, we discuss whether or not the entanglement monotones that are not derived via the convex roof structure are SEMs as well. The well known one is the computable measure of entanglement, negativity, which is defined by VidalWerner
[TABLE]
where and denotes the partial transposition with respect to part under some given orthonormal bases of and . The logarithmic negativity is defined as VidalWerner
[TABLE]
It is known that the negativity is a SEM on pure states GG2 and thus is also a SEM by Proposition 2. In what follows we will show that is also a SEM on mixed states, and thus it is a SEM.
Theorem 4**.**
The negativity is a SEM.
Proof.
According to the scenario in Ref. VidalWerner , we only need to consider a family consisting of completely positive linear maps such that , where transforms pure states to some scalar multiple of pure states, . For any with , we let
[TABLE]
where and are the positive part and the negative part of , respectively. That is, , . It follows that
[TABLE]
It is clear that , . Thus, if Eq. (7) holds, then , and thus . Take with as the Schmidt decomposition of . Then , where . Denoting by , it follows that holds for any and , from which we can conclude that is a scalar multiple of some unitary operator. This guarantees that is either a local unitary operation or with provided that . Therefore, decreases strictly on average under LOCC. ∎
Proposition 5**.**
The logarithmic negativity decreases strictly under LOCC on average, but it is not a SEM.
Proof.
It is clear that decreases strictly under stochastic LOCC on average since the logarithm is strictly concave. But is not convex Plenio2005 , namely, it is not an entanglement monotone, therefore it is not a SEM. ∎
Another important entanglement monotone that is not derived from the convex roof extension is the relative entropy of entanglement Vedral1997 ; Vedral1998pra :
[TABLE]
where is the quantum relative entropy and the minimum is taken over all separable states in . This measure, as one might expect, is a SEM.
Theorem 6**.**
* is a SEM.*
Proof.
Let be an extended Hilbert space of , let be an orthonormal basis in , and let be a unit vector. For any CPTP map , there exists a unitary operator acting on such that Lindblad1974 ; Lindblad1975
[TABLE]
It is clear that
[TABLE]
According to the proof of Theorem 2 in Ref. Vedral1998pra , we only need to verify that if
[TABLE]
holds for any and , then
[TABLE]
for some unitary operator , where . Note that
[TABLE]
thus (24) holds and leads to , which is equivalent to for any . Therefore has the form as in (25). Taking , the proof is completed. ∎
The squashed entanglement Christandl2004jmp is an additive entanglement monotone and has a nice operational meaning. For any state , is defined by Christandl2004jmp
[TABLE]
where , denotes the von Neumann entropy and the infimum is taken over all extensions of of . We show below that is also a SEM with the assumption that it can be attained by some optimal extension [i.e., for some extension ]. Note that, if there does not exist some optimal extension, whether or not is a SEM remains open since it is defined in terms of the infimum process over all states extension which cannot give an accurate equality between the state and its extension state for the conditional mutual information. However, we still do not know such an extension exists or not for any state Christandl2004jmp .
Theorem 7**.**
If can be attained by optimal extension for any state , then is a SEM.
Proof.
From the proof of Proposition 3 in Ref. Christandl2004jmp , if and the associated LOCC is stochastic, then we must have (we use the same notations as in Ref. Christandl2004jmp ), it follows that is a Markov state according to the structure of states that satisfying the strong subadditivity of entropy HaydenJozaPetsWinter , a contradiction. Thus the LOCC is a local unitary operation or a convex mixture of local unitary operations. ∎
At last, we present a list of the properties of all entanglement measures that are well-known by now for convenience of readers (see Table 1). As one might expect, almost all the entanglement measures are decreasing strictly under LOCC on average for pure states. In addition, one can see from the table that, apart from the strict concavity of the associated function , monogamy is another property that is also closely related with the strict monotonicity of LOCC. We also found that other properties, such as additivity, convexity and faithfulness, seem not to be the nature of the entanglement measures so far.
To summarize, we explored the action of entanglement under LOCC for many entanglement measures so far, and we showed that the axiomatic definition of entanglement monotone can be improved: is defined to be an entanglement monotone if it is convex, vanishes on separable states, and decreases strictly on average under LOCC in the sense of (6). Together with the result in Ref. GG2 , our results here support the conclusion that entanglement is monogamous. But we still can not prove whether the squashed entanglement (it is defined via the infimum over all extensions), entanglement of distillation, and the entanglement cost are strict entanglement monotones or not.
Acknowledgements.
The author is very grateful to the referees for their constructive suggestions. Y.G is supported by the Natural Science Foundation of Shanxi Province under Grant No. 201701D121001, the National Natural Science Foundation of China under Grant No. 11301312 and the Program for the Outstanding Innovative Teams of Higher Learning Institutions of Shanxi.
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