1. Introduction
Entanglement plays an important role in quantum information theory, which has been widely used in quantum information processing [
1,
2,
3]. The detection of entanglement has attracted much attention in recent years (see [
4,
5,
6,
7,
8,
9,
10,
11,
12,
13,
14,
15]). Among these criteria, the entanglement witness (EW) criterion provides a sufficient and necessary condition for the separability of a bipartite quantum state ([
5]). A self-adjoint operator
W acting on a separable complex Hilbert space
is an EW if
W is not positive and
holds for all separable states
. It was shown that a bipartite state is entangled if and only if there exists at least one EW detecting it. Obviously, there does not exist an EW that can detect all entangled states. So, the concept of the optimal EW is proposed in [
8] and some methods are given to check the optimality of EWs, for example, see [
8,
11,
12,
15].
In 1935, Einstein, Podolsky and Rosen (EPR) first discovered the anomalous phenomenon of quantum states in multipartite quantum systems, which is contrary to the classical mechanics ([
16]). In order to capture the essence of the EPR paradox, the notion of EPR steering was first introduced by Schr
dinger in [
17]. EPR steering is a quantum correlation between entanglement and Bell nonlocality. Different from entanglement and nonlocality, this correlation is inherently asymmetry with respect to the observers.
In recent years, EPR steering has attracted many authors’ attention. It has been shown that EPR steering plays a fundamental role in various quantum protocols, secure communication, and other fields ([
18,
19,
20]). Various EPR steering criteria have been derived. For example, Cavalcanti and James in [
21] obtained the experimental criterion of EPR steering from entropy uncertainty relations. Ji et al. in [
22] obtained steerability criteria by using covariance matrices of local observables, which are applicable for both finite- and infinite-dimensional quantum systems. Wittmann et al. in [
23] gave EPR steering inequalities with three Pauli measurements; and then, as a generalization of the Pauli matrices, Marciniak et al. in [
24] found EPR steering inequalities with mutually unbiased bases. For continuous-variable systems, the authors in [
25] performed a systematic investigation of EPR steering for bipartite Gaussian states by pseudospin measurements. Kogias and Adesso [
26] gave a measure of EPR steering for two-mode continuous variable states.
Inspired by EW, in this paper, we will try to consider quantum EPR steering witness for Gaussian states in continuous-variable systems. This paper is organized as follows. In
Section 2, we recall the concepts of Gaussian states and quantum EPR steering, and some known EPR steering criteria for Gaussian states.
Section 3 is devoted to giving a definition of steering witness for Gaussian states in terms of covariance matrices and then discussing properties of steering witness. Based on steering witnesses, a steering criterion for bipartite
-mode Gaussian states are obtained. The conditions for two steering witnesses to be comparable are given and the optimality of steering witnesses are also obtained.
Section 4 is a brief conclusion.
2. Definition and Criterion of Gaussian
Quantum EPR Steering
In this section, we briefly introduce the notion of Gaussian quantum steering.
Gaussian states. Recall that a quantum system is associated with a separable complex Hilbert space
H. A quantum state on
H is a positive operator with trace 1. For arbitrary state
in an
n-mode continuous-variable system with state space
H, its characteristic function
is defined as
where
,
is the Weyl displacement operator,
. As usual,
and
(
) stand for, respectively, the position and momentum operators, where
and
are the creation and annihilation operators in the
kth mode, satisfying the Canonical Commutation Relation (CCR)
Particularly,
is called a Gaussian state if
is of the form
where
is called the mean or the displacement vector of
and
is the covariance matrix (CM) of
defined by
with
([
27]). Here
stands for the algebra of all
matrices over the real field
. So, any Gaussian state
with CM
and displacement vector
will be represented as
. Note that
is real symmetric and satisfies the condition
, where
with
for each
k. Assume that
is any
-mode Gaussian state. Then its CM
can be written as
Qauntum steering. Now let us recall the definition of steerability. A measurement assemblage
is a collection of positive operators
satisfying
for each
x. Such a collection represents one positive-operator-valued measurement (POVM), describing a general quantum measurement, for each
x. In a (bipartite) steering scenario, one party performs measurements on a shared state
, which steers the quantum state of the other particle. If Alice performs a set of measurements
, then the collection of sub-normalized “steered states” of Bob are an assemblage
with
If every assemblage on Bob
can be explained by a local hidden state (LHS) model, of the form
where
is a hidden variable, distributed according to
,
are “hidden states” of Bob, and
are local “response functions” of Alice, then we say that it has LHS form, or does not demonstrate steering ([
28]). If there exist measurements such that
does not admit such an LHS decomposition, we say that the state
is steerable from A to B. If for all measurements we can never demonstrate steering with a given state, we say it is unsteerable from A to B. Symmetrically, we can define the steerability of
from B to A. Steering is a quantum correlation between entanglement and Bell nonlocality. However, unlike Bell nonlocality and nonseparability, which are symmetric between Alice and Bob, steering is inherently asymmetric.
Gaussian Positive Operator-Valued Measurement. An
m-mode Gaussian Positive Operator-Valued Measurement (GPOVM)
is defined as
where
is the
m-mode Weyl displacement operator,
,
is a zero mean
m-mode Gaussian state with CM
, which is called the seed state of the GPOVM
. So, we can denote a GPOVM with the seed CM
by
([
29,
30]).
A criterion for unsteerability of Gaussian states. For arbitrary bipartite Gaussian states, the authors in [
28] derived a linear matrix inequality that decides the question of steerability via GPOVMs.
Theorem 1. [28] Assume that is any -mode Gaussian state with CM Γ in Equation (1). Then is unsteerable by the system A’s all GPOVMs if and only ifwhere . Remark 1. By Theorem 1, under the restriction of GPOVMs, Equation (2) is a necessary and sufficient condition for detecting the steering of Gaussian states. However, Equation (2) may not be sufficient for unsteerability of non-Gaussian bipartite states in continuous-variable systems. Recent works also revealed that there exist Gaussian states which are only steerable by suitable non-GPOVMs. In [25], the authors considered pseudospin measurements instead of GPOVMs for any two-mode Gaussian states and found that these observables are always less sensitive than conventional Gaussian observables for steering detection. Note that GPOVMs are accessible in laboratory by means of homodyne detections and Gaussian transformations. So in this paper, we restrict to GPOVMs when discussing the steering of Gaussian states. 3. Steering Witness for Gaussian States and Their Comparability
In this section, we will first give a definition of steering witness for Gaussian states, and then discuss some properties of steering witness.
Denote by
the set of all real symmetric
matrices. Note that a CM
can describe a physical quantum state if and only if it satisfies the bona fide uncertainty principle relation
. Let
stand for the set of all CMs satisfying uncertainty principle relations in
-mode continuous-variable systems, that is,
For the convenience, write
. Let
We call the elements in
unsteerable CMs from A to B as Theorem 1. It is easily checked that
is a closed and convex set. The following result gives another property of
.
Proposition 1. Assume that . Then for any positive matrix and any scalar , we have and .
Proof. For any positive matrix
, by Equation (
3), it is obvious that
. For any
, as
and
we get
. □
Next, write
We call any element
W in
the steering witness from A to B in
-mode bipartite continuous-variable systems with subsystems
A and
B, where
.
The following theorem gives a criterion of detecting steerability of any -mode Gaussian states by steering witnesses.
Theorem 2. (Steering witness criterion) Assume that is any -mode Gaussian state with CM Γ defined by Equation (1). Then is unsteerable from A to B if and only if holds for all . Proof. For the “only if” part, if holds for all , by Equation (5), . It follows from Theorem 1 that is unsteerable from A to B.
For the “if” part, on the contrary, suppose that
is steerable from A to B. Then
is steerable from A to B as Theorem 1, that is,
with
. Since the set
is convex and closed, by the Hahn-Banach theorem, there exists some
such that
We claim
. Otherwise, assume
. If
is not positive, there is a negative eigenvalue
of
with the corresponding eigenvector
. Take any
, any
and let
. By Proposition 1,
. Note that
This means that, for sufficient large
, we have
, which yields a contradiction to Equation (
6). Thus,
is positive, and so
. Further, we can conclude
. In fact, by Williamson normal form Theorem, for any CM
, there exists a symplectic matrix
such that
with
. So
However, this leads to a contradiction with
.
Hence
. By letting
in Equation (6) yields
which implies
with
, a contradiction. Therefore,
is unsteerable from A to B, and thus
is unsteerable from A to B. □
Remark 2. By Theorem 2, we see that, for any -mode Gaussian state with CM Γ, is steerable from A to B if and only if there exists some such that .
In the rest part, we will discuss the properties of steering witnesses. Given a steering witness
, denote the set of CMs detected by
W by
It is obvious that any two steering witnesses
and
have one of the following three relations:
(1) or ;
(2) ;
(3) and , .
Definition 1. For any two steering witnesses and , we say that is finer than , denote by , if ; and if . Furthermore, we say that and are comparable if or ; otherwise, and are incomparable.
Particularly, for a steering witness W, we say that W is optimal if there is no other steering witness finer than W.
The following result gives the relation of two comparable steering witnesses.
Theorem 3. Suppose that are two steering witnesses with , and Then and for any , we have
- (i)
if ;
- (ii)
if ;
- (iii)
if .
Proof. Assume that are two steering witnesses with and .
(i) Assume that
, but
. Take any
and any positive number
. Write
Then
and
So
for all
.
On the other hand, note that
as
. Take any
with
. Then
and so
This implies
for such
x, a contradiction.
(ii) Assume that
. Letting
, then
and
By (i), we have
, and so
.
(iii) If
, by taking
and
with
, we have
and
. Write
. It is obvious that
and
By (i), one gets
, that is,
. So
Note that the last inequality is due to (ii). Thus, Equation (7) implies
and hence
Finally, we will show In fact, for any , we have , and by (ii), . Thus, , and so □
In the following theorem, we give a necessary and sufficient condition for two steering witnesses to be comparable.
Theorem 4. Suppose that are two steering witnesses. Then if and only if there exists some and some positive matrix satisfying for all such that Proof. Assume that
are two steering witnesses. If there exists some
and some positive matrix
with
for all
such that
then, for any
, we have
It follows that
. So
. By Definition 1, one obtains
.
Conversely, if
, by taking
and by Theorem 3, we have
for all
, that is,
On the other hand, for any
, by Theorem 3 (iii), one has
, that is,
Combining Equations (8) and (9) gives
Now, let with . Obviously, and holds for all by Equation (8).
Finally, if
X is not positive, then there is a negative eigenvalue
of
X with the corresponding eigenvector
. Take any
, any
and let
. Obviously,
. Note that
Also note that
by Equation (10). These yield a contradiction. So
X is positive.
The proof of the theorem is finished. □
For the optimality of steering witnesses, we have
Theorem 5. Suppose that is a steering witness. Then W is optimal if and only if for any and any positive matrix satisfying for all , is not a steering witness.
Proof. The “if” part is obvious by Theorem 4.
For the “only if” part, assume that there is some and some positive matrix satisfying for all such that is a steering witness. Then , where and with for all . By Theorem 4 again, . A contradiction. □
Finally, we discuss the question when different steering witnesses can detect some common steering CMs.
Theorem 6. For any two steering witnesses , we have if and only if there exists some such that .
To prove the theorem, two lemmas are needed.
Lemma 1. Suppose that are steering witnesses with . If with and , then .
Proof. For two steering witnesses with , we have for all . By Theorem 3(ii), , and so . This means , that is, .
In addition, if
, then
and
as
. Thus
This implies
. So
. □
Lemma 2. Assume that are steering witnesses. If and , then either or .
Proof. Assume, on the contrary, that
and
. Take
for
. Write
Note that
is a convex set. So
and thus
. Hence there exists some
such that
and
. If
, then
, and for sufficiently small
, we have
A contradiction. Similarly, if
, by considering
for sufficiently small
, one can also obtain a contradiction.
Therefore, or . The proof is completed. □
Proof of Theorem 6. Take any two steering witnesses . If there exists some such that is not a steering witness, then , that is, .
For the “only if” part, assume that
and
for all
. Then
. Since
, by Lemma 2, we have either
or
. When
varies from 0 to 1 continuously,
varies from
to
continuously. Denote
. If
, then there must be exist some
with
such that
is not a steering witness, that is,
. Otherwise, for all
with
, we have
. Since
and
, for all
, one has
and
for sufficiently small
, a contradiction. Hence
.
Similarly, one can show . So there exists some , such that is not a steering witness. The proof is finished. □