Literature DB >> 27221229

Minimal number of runs and the sequential scheme for local discrimination between special unitary operations.

Tian-Qing Cao1, Ying-Hui Yang1,2, Zhi-Chao Zhang1, Guo-Jing Tian1, Fei Gao1, Qiao-Yan Wen1.   

Abstract

It has been shown that any two different multipartite unitary operations are perfectly distinguishable by local operations and classical communication with a finite number of runs. Meanwhile, two open questions were left. One is how to determine the minimal number of runs needed for the local discrimination, and the other is whether a perfect local discrimination can be achieved by merely a sequential scheme. In this paper, we answer the two questions for some unitary operations U1 and U2 with locally unitary equivalent to a diagonal unitary matrix in a product basis. Specifically, we give the minimal number of runs needed for the local discrimination, which is the same with that needed for the global discrimination. In this sense, the local operation works the same with the global one. Moreover, when adding the local property to U1 or U2, we present that the perfect local discrimination can be also realized by merely a sequential scheme with the minimal number of runs. Both results contribute to saving the resources used for the discrimination.

Entities:  

Year:  2016        PMID: 27221229      PMCID: PMC4879627          DOI: 10.1038/srep26696

Source DB:  PubMed          Journal:  Sci Rep        ISSN: 2045-2322            Impact factor:   4.379


Quantum operations, which include unitary operations, quantum measurements, and quantum channels, are an important subject in the fields of quantum control and quantum information theory123. Recently, the discrimination of quantum operations456789, especially the discrimination of unitary operations1011121314151617181920, has received extensive attention. Indeed, the study itself of the distinguishability for unitary operations is a fundamental problem in quantum information theory, and after successfully discriminating unitary operations, we can further employ them to accomplish many other quantum information processing tasks. It should be noted that we only need to discuss the discrimination between two unitary operations, which is due to the fact that the discrimination of multiple unitary operations has been reduced to that of two unitary operations11. Two different unitary operations are said to be perfectly distinguishable, if there exists at least an input state such that two corresponding output states, generated by the two unitary operations acting on the input state respectively, are orthogonal. That is to say, the orthogonality of the two output states implies the distinguishability of the two unitary operations. Thus, the issue of discrimination of unitary operations can be simplified to the study of orthogonality of the corresponding output states. Generally speaking, there are two kinds of distinguishing schemes, or to say, generating orthogonal output states schemes, i.e. the parallel scheme and the sequential scheme. Suppose U1 and U2 are two different unitary operations to be distinguished. In the parallel scheme, there exists a finite number N and an input state |ψ〉 such that two output states and are orthogonal13. In the sequential scheme, there exist auxiliary unitary operations X1, ···, X and an input state |ψ〉 such that the output states U1XU1 ···X1U1|ψ〉 and U2XU2 ···X1U2|ψ〉 are orthogonal13. Furthermore, the minimal number of runs is the minimal number of times we apply the unknown unitary operation to make them perfectly distinguishable11. In addition, the discrimination of unitary operations has been classified into two scenarios, i.e. the global one and the local one. In the global scenario, the unknown unitary operation is under the complete control of a single party who can perform any allowable physical operations101112131415. It has been shown that any two different unitary operations can be perfectly distinguished, no matter by the parallel scheme1112 or the sequential scheme13, when a finite number of runs are allowed. Besides, in both schemes, the minimal numbers of runs needed for the perfect discrimination are the same1113. In the local scenario, which is the main point we shall discuss in this paper, the unknown unitary operation is shared by several physically distant parties. So local operations and classical communication (LOCC) are natural requirements for each party when they try to accomplish the discrimination. Such a restriction makes the discrimination of unitary operations more complicated1617181920. Interestingly, Zhou et al.16 presented that any two different multipartite unitary operations are perfectly distinguished by LOCC with multiple runs. Later, Duan et al.17 independently proved the same result by introducing the theory of local numerical range. Specifically, they pointed out that any two different unitary operations can be locally distinguished by the parallel scheme or first sequential then parallel scheme after a finite amount of runs. As is shown in ref. 13, the minimal number of runs can save the temporal resources, and the sequential scheme can save the spatial resources due to the fact that in the sequential scheme no entanglement or joint quantum operations are needed. So in order to save resources as much as possible, it is natural to ask the following two questions: What is the minimal number of runs needed for the above parallel scheme, even for any distinguishing scheme, no matter parallel or sequential? Can the perfect local discrimination be completed by merely a sequential scheme? Both questions, also referred to in ref.17, need further considerations. Yet until now there has been no relevant progress about the research, even for a special class of unitary operations. In this paper we answer the two questions for some unitary operations. In detail, suppose U1 and U2 are any two different unitary operations on the s ⊗ t(s, t ≥ 2) quantum system such that is local unitary equivalent to where ϕ ∈ [0, 2π) and Θ(V) ∈ (0, π]. If the endpoints of Θ(V) are ϕ and ϕ, or ϕ and ϕ, then the minimal number of runs needed for the local discrimination equals that needed for the global scenario, i.e. , in which denotes the smallest integer that is not less than x, and Θ(V) represents the length of the smallest arc containing all the eigenvalues of V on the unit circle11. In this sense the local operation achieves the same function with the global one. Furthermore, when adding the local property to U1 or U2, by merely a sequential scheme the perfect local discrimination can be also accomplished with the minimal number of runs. Finally, the above results can be generalized to multipartite unitary operations.

Results

Local numerical range

We first introduce some definitions and results. Consider a quantum system associated with a finite dimensional state space H. We denote the set of linear operations acting on H by L(H). In particular, u(H) is the set of unitary operations acting on H. Two unitary operations U1, U2 ∈ u(H) are said to be different if U1 is not the form eU2 for any real number θ. Let us introduce the notion of numerical range. Definition 1. For A ∈ L(H), the numerical range of A is a subset of complex numbers defined as Suppose now we are concerned with a multipartite quantum system consisting of m parties, say, M = {A1, ···, A}. Assume that the party A has a state space H with dimension d. Then the whole state space is given by with total dimension d = d1 ···d. Definition 217. U ∈ u(H) is said to be local or decomposable if such that U ∈ u(H). Otherwise U is nonlocal or entangled. Definition 317. The local numerical range of A is where |ψ〉 ∈ H and 〈ψ|ψ〉 = 1. Let U and V be two matrices on the s ⊗ t space. U and V are called local unitary equivalent if there exist U1 ∈ u(s) and U2 ∈ u(t) such that U = (U1 ⊗ U2)V (U1 ⊗ U2)†. Moreover, when U is local unitary equivalent to V, we can obtain that U⊗ and V⊗ are local unitary equivalent, and Wlocal(U⊗) = Wlocal(V⊗) for any p ∈ N21. Next two relevant lemmas about the local discrimination of unitary operations will be presented. Lemma 117. Two different unitary operations U1 and U2 are perfectly distinguishable by LOCC in the single-run scenario if and only if . Lemma 217. Suppose two different multipartite unitary operations U1 and U2 satisfy that is non-Hermitian (up to some phase factor), then there exists a finite N such that . Lemma 2 gives the existence of a finite number needed for the perfect discrimination in the local scenario. For simplicity, in what follows we shall only consider the case in which U1 and U2 are both bipartite unitary operations acting on the s ⊗ t(s, t ≥ 2) space, and the multipartite case can be similarly discussed.

Minimal number of runs for the local distinguishability

In this section, we mainly discuss the minimal number of runs needed for a perfect discrimination between two bipartite unitary operations in the LOCC scenario. First, two different unitary operations U1 and U2 such that is local unitary equivalent to V are considered, where V is a diagonal unitary matrix in a product basis. According to that Θ(U) = Θ(XUX†) for any X ∈ u(H) and the local unitary transformations do not alter the product state nature of the basis in general, we have the theorem. Theorem 1. Let U1 and U2 be any two different bipartite unitary operations on the s ⊗ t(s, t ≥ 2) space such that is local unitary equivalent to where ϕ ∈ [0, 2π) and Θ(V) ∈ (0, π]. If the endpoints of Θ(V) are ϕ and ϕ, or ϕ and ϕ, then is the minimal number of runs needed for distinguishing U and U locally with certainty. Proof. By the conditions, is the minimal number of runs needed for globally distinguishing U1 and U2 with certainty. Thus, if they are perfectly distinguished by LOCC, the minimal number of runs cannot be less than n. In the following we will illustrate that n is just the minimal number of runs by finding a parallel scheme to distinguish them locally. Without loss of generality, suppose U1 and U2 are unitary operations consisting of two parties A and B, where A is s-dimensional, and B is t-dimensional. Let the endpoints of Θ(V) be ϕ and ϕ, where j < l. In fact, we can find a bipartite product state where r, δ, κ ∈ [0, 2π), and such that which means that when U1 and U2 are applied n times in parallel, they can be locally distinguished by Lemma 2. To sum up, we can claim that is the minimal number of runs needed for the perfect discrimination between U1 and U2 in the LOCC scenario. From the above proof, it is clear that the minimal number of runs needed for the local discrimination is the same with that needed for the global scenario. The fact reveals a counterintuitive result: For the perfect discrimination of two unitary operations as in Theorem 1, the global operation has no advantages over the local one. As an illustrative example of Theorem 1, consider a special case where U1 and U2 are two 2 ⊗ 3 unitary operations satisfying that One can directly see that , and the endpoints of are ϕ11 = 0 and ϕ13 = π/3. As we can find a bipartite product state , where r, κ ∈ [0, 2π), such that then is the minimal number of runs needed for the perfect discrimination of U1 and U2 in the LOCC scenario. From Theorem 1, one can see that the endpoints of Θ(V) being ϕ and ϕ, or ϕ and ϕ are just the sufficient conditions. So when will they be also the necessary conditions? The following corollary will give an answer. Corollary Let U1 and U2 be any two different bipartite unitary operations on the s ⊗ t(s, t ≥ 2) space such that is local unitary equivalent to where ϕ ∈ [0, 2π) and Θ(V) = π. They are perfectly distinguished by LOCC in the single-run scenario if and only if the endpoints of Θ(V) are ϕ and ϕ, or ϕ and ϕ. Proof. It suffices to show the necessity. Without loss of generality, suppose the endpoints of Θ(V) are ϕ and ϕ, where i < h, j ≠ l and ϕ < ϕ. We have ϕ = ϕ + π. According to that U1 and U2 are locally distinguished with a single run, there must be an s ⊗ t product state where a ≥ 0, b ≥ 0, , , and λ, δ ∈ [0, 2π), such that which is equivalent to Let ϕ = 0 and other ϕ ∈ (0, π). We have ϕ = π. Further , , and . A routine calculation shows that a = b and a = b. By j ≠ l, we can get and . Thus, b = b = 0, which is a contradiction. Corollary indicates that for any two different unitary operations constrained as above, our result is more practical and efficient than Lemma 1 in determining their local distinguishability in the single-run scenario. Because we do not need to compute the local numerical range which itself is generally difficult to calculate22. To see this, take U1 and U2 such that for 0 < θ1, θ2 < π. It is clear that , and the endpoints of are ϕ11 = 0 and ϕ22 = π. By Corollary, we can immediately claim that U1 and U2 cannot be locally distinguished in the single-run scenario, without complicated calculations to demonstrate as in ref. 17.

Sequential scheme of the local distinguishability

In this part, we primarily focus on the question that whether a perfect local discrimination can be achieved by merely a sequential scheme. The solution to the question is helpful to save the spatial resources as no entanglement or joint quantum operations are needed in the sequential scheme. Fortunately, a positive answer will be made. Theorem 2 Let U1 and U2 be any two different s ⊗ t(s, t ≥ 2) unitary operations such that is local unitary equivalent to where ϕ ∈ [0, 2π) and Θ(V) ∈ (0, π]. Suppose one of them is local and . If the endpoints of Θ(V) are ϕ and ϕ, or ϕ and ϕ, then there exist local unitary operations X1, X2, ···, X and an s ⊗ t product state such that Proof. By Theorem 1, n is not only the minimal number of runs needed for a perfect local discrimination, but also can be achieved in the parallel scheme. Here we will illustrate that when U1 and U2 are sequentially applied n runs, they can be locally distinguished. Therefore, the minimal number of runs n is also realized when U1 and U2 are perfectly distinguished by LOCC with the sequential scheme. The method in the proving process is inspired by Duan et al.13. Without loss of generality, let where V1 is an s × s unitary matrix and V2 is t × t. Suppose U1 is local, and the endpoints of Θ(V) are ϕ and ϕ, where j < l. First, we consider the case U1 = I and . Subsequently the general case can be reduced to this special one. Next we will prove that there always exists a local unitary operation and an s ⊗ t product state such that and are orthogonal. In other words, through being sequentially applied n times, I and can be locally discriminated. Let . Suppose is the general form of real unitary matrices on the 2-dimensional space. We will find β satisfying tr(X†V′XV′) = 0 as follows. A routine calculation shows that Combining with the sum-to-product identities and , or , we can get that Further, Thus, for above β, X†V′XV′ has two opposite eigenvalues. Further we can assume the spectral decomposition as Let where T denotes the matrix transposition. Thus, we have found β, X and such that . Suppose and where I represents the s × s identity matrix. We can conclude that Second, for general U1 and U2 satisfying , there always exists the local unitary operation and the s ⊗ t product state as above such that Finally, suppose , , and in the theorem. Then It can be seen from Theorem 2 that there indeed exist some unitary operations such that their local discrimination can be completed by merely a sequential scheme, and meanwhile we present an explicit protocol of the local discrimination without any entanglement or joint quantum operations. Interestingly, the minimal number of runs is also n, which is the same with that in the global scenario. All these make the local discrimination actually feasible in experiment. As an application of Theorem 2, consider a particular case where U1 and U2 are two-qubit unitary operations satisfying that U1 is local and One can directly see that , n = 3, and the endpoints of are ϕ11 = 0 and ϕ12 = π/3. Let . We can find β = 0, X = I2, and , where T denotes the matrix transposition, such that . Suppose , , and , we have Therefore, it has been shown that the perfect local discrimination of U1 and U2 can be achieved by merely a sequential scheme.

Discussion

The local discrimination of two unitary operations U1 and U2 discussed in refs 19 and 20 is in the single-shot scenario. Bae19 mainly investigated the relations between the discrimination and the entangling capabilities of given U1 and U2, and drew the conclusion that there exist non-entangling unitary operations being perfectly distinguishable only for global operations. While Cao et al.20 presented a necessary and sufficient condition, which can be employed to efficiently determine the perfect local distinguishability of U1 and U2 satisfying with V being a two-qubit diagonal unitary matrix. Compared to the results in refs 19 and 20, our study on the local discrimination of unitary operations in this paper is primarily in the multiple-runs scenario. We have determined the minimal number of runs and put forward the sequential scheme for the local discrimination of some unitary operations. Concretely, for any two different unitary operations with certain limitations, we show that the minimal number of runs needed for the local discrimination is equal to that needed for the global scenario, which means that the local operation achieves the same function with the global one. Furthermore, when one more condition is restricted to the two unitary operations, we present that by merely a sequential scheme the perfect local discrimination can be also completed with the minimal number of runs. Both results are benefit for saving the resources, temporal or spatial, which are crucial in practice. Despite the above research progress, we have yet neither determined the minimal number of runs, nor given the existence of an effective merely-sequential scheme for the local discrimination of two general unitary operations. But we believe that the results about the special unitary operations can provide new insight into the study of the two questions and help us to make a further research.

Additional Information

How to cite this article: Cao, T.-Q. et al. Minimal number of runs and the sequential scheme for local discrimination between special unitary operations. Sci. Rep. 6, 26696; doi: 10.1038/srep26696 (2016).
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