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Symmetry-Like Relation of Relative Entropy Measure of Quantum Coherence.

Chengyang Zhang1, Zhihua Guo1, Huaixin Cao1.   

Abstract

Quantum coherence is an important physical resource in quantum information science, and also as one of the most fundamental and striking features in quantum physics. To quantify coherence, two proper measures were introduced in the literature, the one is the relative entropy of coherence C r ( ρ ) = S ( ρ diag ) - S ( ρ ) and the other is the ℓ 1 -norm of coherence C ℓ 1 ( ρ ) = ∑ i ≠ j | ρ i j | . In this paper, we obtain a symmetry-like relation of relative entropy measure C r ( ρ A 1 A 2 ⋯ A n ) of coherence for an n-partite quantum states ρ A 1 A 2 ⋯ A n , which gives lower and upper bounds for C r ( ρ ) . As application of our inequalities, we conclude that when each reduced states ρ A i is pure, ρ A 1 ⋯ A n is incoherent if and only if the reduced states ρ A i and tr A i ρ A 1 ⋯ A n ( i = 1 , 2 , … , n ) are all incoherent. Meanwhile, we discuss the conjecture that C r ( ρ ) ≤ C ℓ 1 ( ρ ) for any state ρ , which was proved to be valid for any mixed qubit state and any pure state, and open for a general state. We observe that every mixture η of a state ρ satisfying the conjecture with any incoherent state σ also satisfies the conjecture. We also observe that when the von Neumann entropy is defined by the natural logarithm ln instead of log 2 , the reduced relative entropy measure of coherence C ¯ r ( ρ ) = - ρ diag ln ρ diag + ρ ln ρ satisfies the inequality C ¯ r ( ρ ) ≤ C ℓ 1 ( ρ ) for any state ρ .

Entities:  

Keywords:  lower bound; measure; quantum coherence; upper bound

Year:  2020        PMID: 33286071      PMCID: PMC7516754          DOI: 10.3390/e22030297

Source DB:  PubMed          Journal:  Entropy (Basel)        ISSN: 1099-4300            Impact factor:   2.524


1. Introduction

Quantum computing utilizes the superposition and entanglement of quantum states to operate and process information. Its most significant advantage lies in the parallelism of operations [1,2,3]. To achieve efficient parallel computing in quantum computers, quantum coherence is essentially used. Quantum coherence arising from quantum superposition plays a central role in quantum mechanics and so becomes an important physical resource in quantum information and quantum computation [4]. It also plays an important role in a wide variety of research fields, such as quantum biology [5,6,7,8,9,10], nanoscale physics [11,12], and quantum metrology [13,14]. In 2014, Baumgratz et al. [15] proposed a framework to quantify coherence. In their seminal work, conditions that a suitable measure of coherence should satisfy have been put forward, including nonnegativity, the monotonicity under incoherent completely positive and trace preserving operations, the monotonicity under selective incoherent operations on average and the convexity under mixing of states. By introducing such a rigorous theoretical framework, a mass of properties and operations of quantification of coherence were discussed. Moreover, based on that framework, many coherence measures have been found, such as -norm of coherence and relative entropy of coherence [15], fidelity and trace norm distances for quantifying coherence [16], robustness of coherence [17], geometric measure of coherence [18], coherence of formation [19], relative quantum coherence [20], measuring coherence with entanglement concurrence [21], trace distance measure of coherence [22,23,24]. In addition, some research related to quantum coherence have been developed, including quantum coherence and quantum correlations [25,26,27,28,29,30], an uncertainly-like relation about coherence [31], distribution of quantum coherence in multipartite systems [32], quantum coherence over the noisy quantum channels [33], maximally coherent mixed states [34], ordering states with coherence measures [35], coherence and path information [36], complementarity relations for quantum coherence [37], converting coherence to quantum correlations [38] and logarithmic coherence [39], quantum coherence and geometric quantum discord [40]. Recently, Guo and Cao [41] discussed the question of creating quantum correlation from a coherent state via incoherent quantum operations and obtained explicit interrelations among incoherent operations (IOs), maximally incoherent operations, genuinely incoherent operations and coherence breaking operations. In this paper, we discuss some inequalities on the measures of quantum coherence. The organization of this paper is as follows: In Section 2, we recall the framework of coherence measure and basic properties of quantum coherence. In Section 3, we establish lower and upper bounds for the relative entropy measure of coherence in a multipartite system. In Section 4, we discuss the relation between and . In Section 5, we give our conclusions obtained in this paper.

2. Preliminaries

In this section, we give a review of some fundamental notions about quantification of coherence, such as incoherence states, incoherence operations, and measures of coherence. Let H be a d-dimensional Hilbert space, whose elements are denoted by the Dirac notations and so on, and let be the -algebra consisting of all bounded linear operators on H. The adjoint operator of an operator T in is denoted by . The identity operator on H is denoted by , or simply, I. We use to denote the set of all density operators (positive and trace-1 operators) on H, whose elements are said to be the states of the quantum system S described by H. Fixed an orthonormal basis (ONB) for H, a state of S is said to be incoherent with respect to (w.r.t.) the basis e if . Otherwise, it is said to be coherent w.r.t. e. Let be the set of all states of S that are incoherent w.r.t. e, that is, For every , we define Clearly, By definition, a state is incoherent w.r.t e if and only if , i.e., it has a diagonal matrix representation w.r.t. e, i.e., where are eigenvalues of and it is coherent w.r.t. e if and only if it can not be written as a diagonal matrix under this basis. According to [42], a linear map on the -algebra is a completely positive and trace preserving (CPTP) map if and only if there exists a set of operators in (called Kraus operators of ) with such that A CPTP map on is said to be an e-incoherent operation (IO) if it has Kraus operators such that for all , it holds that In this case, we call a set of e-incoherent Kraus operators of . In order to measure coherence, Baumgratz et al. [15] presented the following four defining conditions for a coherence measure : if and only if for any e-incoherent operation and any state . for any e-incoherent operation with a set of e-incoherent Kraus operators and any state where with for any ensemble It was proved in [15] that the relative entropy and the -norm measure of coherence satisfy these defining conditions, which are defined as follows: where is the von Neumann entropy, and Notably, for a bipartite quantum system , the reference basis for can be taken as a local basis: where and are the orthonormal bases for and , respectively. In this case, every of has the following representation: Put Thus, a state of the system is incoherent w.r.t. if and only if , i.e., Moreover, let and . Then from Equations (3) and (4), we get that In next section, we derive some inequalities, which give lower and upper bounds for the relative entropy of coherence of multi-partite states.

3. Lower and Upper Bounds for the Relative Entropy of Coherence

Xi et al. [30] proved that for any bipartite quantum state , the relative entropy of coherence obeys some uncertainty-like relation by using the properties of relative entropy, which reads where , Afterwards, Liu et al. [31] proved that any tripartite pure state satisfies where and , provided that for some Combining Equations (6) and (7), the following inequality was derived in [31]: for a pure state satisfying the condition (8). The aim of this section is to establish lower and upper bounds of for a general n-partite state . To do this, we use and to denote and respectively. First, for a bipartite of the system , we know from Equation (5) and the subadditivity of von Neumann entropy that and so Thus, Combing this with Equation (6), we have Second, for a tripartite quantum state , according to the super-additivity inequality (6), we have By finding the sums of two sides of the inequalities above, we obtain On the other hand, using definition (1) yields that since (strong subadditivity) and . This shows that Combining Equations (11) and (12) gives As a generalization of inequalities (10) and (13), we can prove the following inequalities (14) for any n-partite state of the system , which give lower and upper bounds for the relative entropy of coherence. To do this, we let be an orthogonal basis for the Hilbert space , and let which is an orthogonal basis for the Hilbert space . Thus, becomes an orthogonal basis for the Hilbert space . With these notations, we have the following. For any state where To prove that the first inequality in Equation (14) holds, we know from Equation (6) that and consequently, Next, let us prove that the second inequality in (14) holds by using mathematical induction. Firstly, we know from Equation (10) that the desired inequality holds for and any bipartite state. Secondly, we assume the second inequality in (14) holds for and any -partite state. Then for any N-partite state , we have By using Equation (6), we know that . Thus, Combining the fact that we get that Thus, the validity of the second inequality in Equation (14) is proved. The proof is completed. □ As immediate application of Theorem 1, we have the following corollaries. Let Let It is remarkable that the equalities in Equation (14) may hold in some cases. For example, when and the maximally coherent state satisfies due to the fact that for , and Moreover, the second inequality in Equation (14) also becomes equality when . This shows that the inequalities in Equation (14) are tight and can not be improved.

4. The Relation between and

In this section, we discuss the relation between and . Rana et al. found that the inequality holds for any mixed qubit state ([39], Proposition 1) and any pure state ([39], Proposition 3). Moreover, they conjectured that the inequality (17) holds for all states . It was also proved ([39], Proposition 6) that inequality (17) holds for any state of the form provided that is an incoherent state w.r.t. the reference basis. As an extension of this result, we have the following. Let ρ be a state of S satisfying Equation ( The convexity of implies that The proof is completed. □ Rana et al. proved in ([22], Proposition 6) that for arbitrary state of a d-dimensional system, it holds that and derived in ([39], Equation (10)) that So, for all . Thus, if we redefine the von Neumann entropy as , then the resulted relative entropy of coherence reads This leads to the following inequality:

5. Conclusions

In this paper, we have established lower and upper bounds for relative entropy of coherence for an n-partite quantum states . As application of our inequalities, we have found that when each reduced states is pure, is incoherent if and only if the reduced states and are all incoherent. Moreover, we have discussed the conjecture that for any state and observed that every mixture of a state satisfying the conjecture with any incoherent state also satisfies the conjecture. We have also proved that when the von Neumann entropy is defined by the natural logarithm ln instead of , the reduced relative entropy measure of coherence satisfies the inequality for any state .
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