Detection of Network and Genuine Network Quantum Steering
Zhihua Chen
Kai Wu
School of Science, Jimei University, Xiamen 361021,China
Shao-Ming Fei
School of Mathematical Sciences, Capital Normal University, Beijing 100048, China
Abstract
The quantum network correlations play significant roles in long distance quantum communication, quantum cryptography and distributed quantum computing. Generally it is very difficult to characterize the multipartite quantum network correlations such as nonlocality, entanglement and steering. In this paper, we propose the network and the genuine network quantum steering models from the aspect of probabilities in the star network configurations. Linear and nonlinear inequalities are derived to detect the network and genuine network quantum steering when the central party performs one fixed measurement. We show that our criteria can detect more quantum network steering than that from the violation of the -locality quantum networks. Moreover, it is shown that biseparable assemblages can demonstrate genuine network steering in the star network configurations.
I Introduction
Strong quantum correlations like quantum nonlocality in quantum networks can be established among distant parties sharing physical resources emitted by independent sources.
The quantum network is important in quantum information processing such as quantum cryptography, quantum communication and distributed quantum computation. Compared with the case of the parties sharing quantum entanglement from a single common source, it is much more difficult to characterize the correlations in quantum networks because of the non-convexity of the local network spaces. In quantum network scenarios, the parties hold the physical systems from different sources which are assumed to be independent with each other. Entanglement swapping is the simplest network scenario, where Alice, Bob and Charlie share two independent sources. When Bob performs the joint measurements on his two parties, Alice and Charlie can share the entanglement [1]. In the bilocality scenario Alice and Charlie admit two independent hidden variables. It is then generalized to the -locality scenarios.
Many efficient methods have been proposed to detect the quantum nonlocality in quantum networks, such as the explicit parametrization of network local models [2, 3], hierarchies of relaxations of the sets of compatible correlations [4], inflation technique [6, 5], network Bell inequalities [8, 7, 13, 9, 10, 11] and numerical approaches [15, 14].
Motivated by the quantum network nonlocality, the network quantum steering has been proposed in [16], in which the intermediate parties are untrusted while the endpoints are trusted. Under the measurement performed on the intermediate parties, quantum network steering emerges when the sub-normalized state is entangled. Inequalities have been constructed to detect the network steering in the star network scenario with the central party trusted and all the edge parties untrusted [17].
But
In this paper, we introduce the network steering and the genuine network steering from the central parties to the edge parties in star networks, from the aspect of the probability theory. Linear and nonlinear inequalities are constructed to verify the network steering and the genuine network steering for both linear and star networks when the central party performs the fixed measurement. These inequalities can detect more network steering than those of the network n-nonlocality. We demonstrate that the biseparable sub-normalized state is genuine network steerable by example.
II EPR-Steering
Consider the bipartite EPR-steering scenario [18, 19]. Alice and Bob share a bipartite quantum state . Alice performs a set of black-box measurements on with outcomes denoted by . The set of sub-normalized states on Bob’s side is called an assemblage. Each element in the assemblage is given by where is the identity matrix. Alice can not steer Bob if admits a local hidden state (LHS) model as follows,
(1)
where denotes the classical random variable distributed according to satisfying
is the hidden local state of Bob and is the local response function of Alice.
If there are measurements such that does not admit an LHS model, is said to be steerable from Alice to Bob.
The EPR-steering of from Alice to Bob can also be described by the joint probability. Bob performs measurements on the assemblage with outcomes denoted by . The joint probabilities are . is steerable from Alice to Bob if there exist measurements and such that the joint probability does dot admit the following local hidden variable-local hidden state (LHV-LHS) model,
(2)
Consider the EPR-steering scenario of tripartite state shared by Alice, Bob and Charlie [20, 21, 23, 22]. Alice, Bob and Charlie perform measurements y and z with outcomes b and denoted by and , respectively. The joint probability is given by . is said to be tripartite steerable from Alice and Bob to Charlie if there are measurements and such that the joint probability
does not satisfy the fully local hidden variable and local hidden state model as follows,
(3)
The state is tripartite steerable from Alice to Bob and Charlie if there exist measurements and such that the joint probability
does not satisfy the local hidden variable and fully local hidden state model as follows,
(4)
where and are the local hidden states of Bob and Charlie, respectively.
The other tripartite steering of from Alice to Bob and Charlie is defined as in [23], for which there exist measurements and such that the joint probability
does not satisfy the local hidden variable and bipartite local hidden state model as follows,
(5)
where is the local hidden state of Bob and Charlie. In both scenarios given by Eq.(4) and Eq.(5), a source sends
a classical message to Alice with the probability . The difference between (4) and (5) is that the
corresponding local quantum states sent to Bob and Charlie are separable and entangled respectively.
III Network quantum steering
Consider the networks that the parties are arranged in the star networks.
For the simplest scenario which has three parties and two sources,
the first two parties Alice and Bob1 share the state and the last two parties Bob2 and Charlie share the state The intermediate party Bob, Bob1 and Bob2, performs the fixed measurement y (without the input) with outcomes b,denoted as ,
The sub-normalized state under the measurement is
(6)
admits a network local hidden state model (NLHS) if satisfies the following condition,
(7)
The network state demonstrates the network steering from the central party to the endpoint parties if there exists a fixed measurement such that does not admit NLHS [16].
The entanglement of can rule out the NLHS model from Bob to Alice and Charlie, but entanglement detection is a difficult problem, especially for
high dimensional quantum states. In [16], the authors only investigated the network steering scenarios with respect to some special states such as separable and unsteerable ones. To investigate the network steering for general quantum states, we define the network steering from the aspect of joint probabilities. We derive inequalities to detect if the sub-normalized states under the measurement performed by the central party admit the NLHS model, thus detecting the network steering.
Bob performs a fixed measurement y with outcome b. The endpoint parties Alice and Charlie perform the measurements x and z on the sub-normalized state with outcomes a and c. The joint probability admits a network local hidden variable and local hidden state model (NLHV-LHS) from
the central party Bob to the endpoint parties Alice and Charlie if the joint probability satisfies the following condition,
(8)
where () is the probability generated from Alice’s (Charlie’s) system, is the probability from Bob’s system .
Consider the network composed of three parties Alice, Bob and Charlie and two resources and . Alice and Charlie perform the mutually unbiased measurements with outcomes and with outcomes and Bob performs the fixed measurement with four possible outcomes
Denote
and . Then
with the string of 2 bits representing and the string of 2 bits representing We have the following Theorem, see proof in Appendix.
Theorem 1. For line network, the probabilities that admit the NLHS-LHV model from Bob to Alice and Charlie satisfy the following inequalities,
(9)
For the case of star networks, let us consider a star network composed of a central party and edge parties shared by Bob and Alicei, . The central party is separately connected to the edge parties. The edge parties perform the measurements and the central party performs the fixed measurement . The quantum state admits an NLHV-LHS model from the central party to the edge parties if the joint probability satisfies
with and
Let the edge parties perform the mutually unbiased measurements and the fixed measurement performed by Bob is given by with possible outcomes . Set
(10)
where , represents the inner product,
and
(each string has either zero or even number of 2) and
(each string has even number of 3).
Then we have
where when and when
the string of 2 bits representing
when and when
We have the following conclusions, see proof in Appendix.
Theorem 2.(a) If
admits NLHV-LHS from the central party to the edge parties when Bob performs the fixed measurement in the two measurement settings, we have
(1) When is an odd number,
(11)
and
(12)
(2) When is an even number,
(13)
and
(14)
(b) If admits NLHV-LHS from the central party to the edge parties when Bob performs the fixed measurement in three measurement settings, we have
(1) When is an odd number,
(15)
and
(16)
(2) When is an even number,
(17)
and
(18)
where are all mutually unbiased measurements for
are the identity matrices.
In the above studies we have concerned the sub-normalized state
under one fixed measurement performed by the central party. When the central party performs four measurements , and the edge parties performs three settings of measurements, we have the following, see proof in Appendix.
Theorem 3. The star network state admits NLHS model from the central party to the edge parties if
(19)
where
and are all mutually unbiased measurements.
As an example let us consider the star network , where with
Let and From the theorem 3, we have that demonstrates the network steering when However, it has been shown that the state demonstrates the network nonlocality for when the edge parties perform three settings of measurements [12].
In the following examples, we set to be pauli matrices, and , where
with representing the bit flip of and for .
For the special case of we have
and where and
As another example let us consider the star network with and .
From (LABEL:2-set-neven-1),
is steerable from the central party to the edge parties when in two measurement settings (which is the same as the result in [26]), and from (LABEL:3-set-neven-1) is steerable when in three measurement settings if is even. When is odd, from (LABEL:2-set-nodd-1) and (LABEL:2-set-nodd-2) is steerable from the central party to the edge parties when
or
in two measurement settings. From (LABEL:3-set-nodd-1) and (LABEL:3-set-nodd-2), is steerable when
or
in three measurement settings with .
In particular, when we have that is steerable for in two measurement settings, and for (even ) or (odd ) in three measurement settings, where is the solutions of
( for ). Nevertheless, it has been shown in [12] that is not of n-locality when in three measurement settings and when in four measurement settings.
The general two-qubit quantum state
is locally unitary equivalent to the state , where
is the singular value decomposition of and . Then is steerable from the central party to the edge parties when in two measurement settings, and when in three measurement settings for even . For odd is steerable from the central party to the edge parties when
or
in two measurement settings, and when
or
in three measurement settings.
The inequalities in Theorem 1 and Theorem 2 can be used to detect the network steering when the central party performs a single unknown measurement in the star network scenarios composed of bell-diagonal states and general two-qubit states. Compared with the violation of -locality, the violations of our inequalities detect more network steering for the star network scenarios composed of Werner states.
IV Genuine Network Quantum steering
Consider the star network with state , where Bob performs one fixed joint measurement .
Entanglement can be generated among the edge parties when the central party performs the joint measurement. Here we consider if the network assemblage can be composed of the bi-separable local hidden states with . The three sources send three classical messages to the central party . One source generates a quantum state (
or ) with probability ( or ). The other two sources generate entangled states or with the probabilities and randomly, which are sent to the edge parties. The total probability that (, ) receive the entangled local hidden states is (, ).
Then the sub-normalized state admits bi-separable local hidden states (BLHS) if
with The sketch of bi-separable local hidden states model of is shown in Fig. (1).
From the aspect of probabilities, we have that admits network local hidden variable and bi-separable local hidden states (NLHV-BLHS) model if
(20)
Figure 1: The bi-separable local hidden state model of . is represented by the region outside of the blue triangle. The entangled local hidden states , and are shown in the purple, red and green boxes, respectively.
Generally we have star networks with state . Bob performs one fixed measurement y defined in Theorem 2. It admits bi-separable local hidden states (BLHS) model if
(21)
where
and and are two disjoint subsets of the set with the number of the elements and respectively.
The number of the sets is with being the combinations.
Let and with being the set obtained by selecting elements from and
being the complement of
Then and
From the aspect of probabilities, we have admits network local hidden variable and bi-separable local hidden states (NLHV-BLHS) model if
The genuine multipartite entanglement of can rule out BLHS.
But it is also a difficult problem to detect the genuine entanglement.
In addition, BLHS model is different from the bi-separable state model as all the sub-normalized states in the network assemblage admit the BLHS model with the same set of the bi-separable local hidden states. To investigate the BLHS model further, we give the witness to detect the genuine network steering composed of general quantum states, see proof in Appendix. Consider the state . The central party performs the fixed measurement defined in Theorem 2. The edge parties perform the mutually unbiased observables The state admits BLHS if
and
For the star network , we have the following result, see proof in Appendix.
Theorem 4. If admits NLHV-BLHS model from the central party to the edge parties when Bob performs the fixed measurement given in Theorem 2, we have
(22)
and
(23)
As an example, let us consider the star network , where and .
We have that is genuine steerable from the central party to the edge parties when
in two measurement settings by using the inequality (LABEL:2-set-gen),
and
in three measurement settings with by using the inequality (LABEL:3-set-gen).
Specially, when , is genuine steerable for in two measurement settings and for in three measurement settings, where the solutions of ( is even) or ( is odd),
when and when .
However, since is genuine tripartite entangled if and only if , interestingly we have that the separable assemblage may have genuine network steering.
If ,
which is locally unitary equivalent to , we have that is genuine steerable from the central party to the edge parties when
in two measurement settings,
and
in three measurement settings.
The genuine network steering can be detected in the star network scenarios composed of bell-diagonal states and general two-qubit states by the inequalities we derived in Theorem 4. Interestingly, the bi-separable states under the joint measurements performed by the central party do not admit BLHS model for the star network composed of Werner states.
V Conclusion
We have investigated the network steering and genuine network steering in star network scenarios from the aspect of the probabilities, when the central party performs the fixed measurement. We have constructed the linear and nonlinear inequalities to verify the network steering and the genuine network steering in two and three measurement settings. It has been shown that more quantum network steering can be detected compared with the violation of the -locality quantum networks, and the biseparable assemblages may show genuine network steering in star network configurations. It would be also interesting to explore the applications of the network genuine steering in quantum processing tasks. Our results may also highlight further investigations on multipartite quantum network steering and genuine multipartite quantum network steering in high dimensional systems.
ACKNOWLEDGEMENTS This work is supported by the National Natural Science Foundation of China (NSFC) under Grants 12071179, 12075159 and 12171044; the Academician Innovation Platform of Hainan Province.
VI Appendix
Theorem 1. For the simple network, the probabilities that admit the NLHS-LHV model from Bob to Alice and Charlie satisfy the following inequalities,
(24)
Proof of Theorem 1:
By definition if Bob can not steer Alice and Charlie, we have the following inequality,
where the equality is due to the definitions of the expectation and the network local hidden variable and local hidden state model. The first inequality is due to the inequality satisfied by absolute values, namely, . The second inequality is due to the inequality and the Cauchy-Schwarz inequality. The last inequality is from that and for the mutually unbiased measurements.
Theorem 2:(a) If
admits NLHV-LHS from the central parties to the edge parties when Bob performs the fixed measurement in the two measurement settings, we have
(1) When is an odd number,
(25)
and
(26)
Proof of Theorem 2 (a) (1): If
admits NLHV-LHS from the central parties to the edge parties when Bob performs the fixed measurement in the two measurement settings, then
where the equalities are attained according to the definitions of expectation value and NLHV-LHS model, the first inequality is attained
by using the absolute value inequality and
the second inequality is attained by using the Lemma 1 in [25].
There are elements in . Hence, the number of and the number of are all for each . Then we have by using for the mutually unbiased measurements, which gives rise to the last inequality.
Theorem 2: (a) (2) When is an even number,
(27)
and
(28)
Proof of Theorem 2. (a) (2): By straightforward calculation,
where the equalities are attained by using the definition of expectation values and NLHV-LHS model, the second inequality is attained by using the Lemma 1 in [25], the last inequality uses for the mutually unbiased measurements.
Theorem 2(b) If admits NLHV-LHS from the central parties to the edge parties when Bob performs the fixed measurement in three measurement settings, we have
(1) When is an odd number,
(29)
and
(30)
Proof of Theorem 2(b) (1).
The proof is similar to that of but the last inequality is attained due to that the number of in is and the number of in
is for each .
Theorem 2(b)(2) When is an even number,
(31)
and
(32)
where are all mutually unbiased measurements for
are the identity matrices.
Proof of Theorem 2b(2). By straightforward calculation, we have
where the equalities are attained by using the definition of expectation values and the NLHV-LHS model. The first inequality is attained by using the absolute value inequality. The second inequality is attained by using the Lemma 1 in [25], the last inequality uses
The proof of inequalities (LABEL:2-set-nodd-2),(LABEL:2-set-neven-2),(LABEL:3-set-nodd-2) and (LABEL:3-set-neven-2) is similar,
but we use and in the last step.
Theorem 3. The star network state admits NLHS model from the central party to the edge parties if
(33)
where
and are all mutually unbiased measurements.
Proof of Theorem 3:
If admits NLHV-LHS model from the central parties to the edge parties in three measurement
settings, using the definite of NLHV-NLHS model and , we have
and hence
where the first inequality is attained by using Lemma 1 in [25], and the second inequality is attained by using
Theorem 4. If admits NLHV-BLHS model from the central party to the edge parties when Bob performs the fixed measurement given in Theorem 2 and the edge parties perform mutually unbiased measurements, we have
(34)
and
(35)
Proof of Theorem 4
Firstly we prove the following lemmas:
Lemma(1):
Lemma(2): , where is the set consisting of all the strings with at least one
namely the set . Here represents the expectation value
of with respect to the quantum states.
Proof of Lemma(1): Firstly we have
where
is the maximum eigenvalue of i.e., the -norm of for the mutually unbiased measurements and
From
where the first inequality is attained by using the definition of , the second and the third inequalities are attained using the norm inequality and
and the fourth inequality is due to and
Using the same method and the mathematical induction, we can prove the Lemma(1).
Proof of Lemma(2): Firstly we have
where
is the maximum eigenvalue of for the mutually unbiased measurements and
Moreover,
where and is the maximum eigenvalue of
The first inequality is attained by using the definition of .
The maximum value of is attained when
Similarly we can prove the inequality for general . can be split into two subsets and where contains the elements with odd number of and contains the elements with even number of
The maximum value of is as each , and the number of the elements in is The maximum value of is attained when
is the matrix with entries and other entries being 0. Here is the maximum eigenvalue of .
Next we prove the theorem. If admits LHV-BLHS model, we have
where the first equality is attained by the definition of LHV-BLHS model, the first inequality is attained by the second inequality is attained by Cauchy-Schwarz inequality, and the last inequality is attained by the Lemma (1).
The inequality
can be similarly proved, by using the Cauchy-Schwarz inequality and Lemma (2).
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