Abstract
A new family of positive, trace-preserving maps is introduced. It is defined using the mutually unbiased measurements, which generalize the notion of mutual unbiasedness of orthonormal bases. This family allows one to define entanglement witnesses whose indecomposability depends on the characteristics of the associated measurement operators. We provide examples of indecomposable witnesses and compare their entanglement detection properties with the realignment criterion.
Subject terms: Information theory and computation, Quantum physics
Introduction
Entanglement is an important quantum resource used in quantum information theory, quantum communication, quantum cryptography, and quantum computation1. Therefore, distinguishing between separable and entangled states is of utmost importance. A quantum state represented by a density operator on the Hilbert space is separable if and only if it can be decomposed into , where and are density operators of two subsystems and is a probability distribution. It turns out that is separable if and only if for any positive map 2. Any quantum state that violates this condition is therefore entangled. Every entangled state can be detected via an entanglement witness3,4, which is a block-positive operator with at least one negative eigenvalue. Entanglement witnesses W are related to positive but not completely positive maps via the Choi-Jamiołkowski isomorphism,
| 1 |
where is an orthonormal basis in . Any such bipartite operator is Hermitian and positive on separable states (). Entanglement witnesses define a universal mathematical tool to analyze quantum entangled states. For any entangled state , there exists an entanglement witness W (which is not unique) such that (cf.5,6 for recent reviews).
There are several proposals for constructing such operators. A special class consists in decomposable witnesses, which can be represented as , where and denotes a partial transposition. However, such witnesses cannot be used to detect bound entanglement; i.e., entangled states that are PPT (positive under partial transposition). Construction of indecomposable witnesses is notoriously hard. There is one class related to the well-known realignment or computable cross-norm (CCNR) separability criterion7–9, and covariance matrix criterion10–12. These were recently generalized in Refs.13,14. Another interesting class of indecomposable witnesses is constructed in terms of mutually unbiased bases15–20. This approach was then generalized to mutually unbiased measurements (MUMs)21 in Refs.22,23.
In this paper, we further develop the construction of entanglement witnesses (in particular, indecomposable ones) in terms of MUMs, which generalize the notion of mutually unbiased bases (MUBs) to non-projective operators. Contrary to MUBs, of which there are for power prime dimensions d24,25 and at least three otherwise26, one can always construct the maximal number of MUMs. The applications of mutually unbiased measurements range from entropic uncertainty relations27–29, through separability criteria for d-dimensional bipartite30–32 and multipartite33,34 systems, to k-nonseparability detection of multipartite qudit systems35, and finally to entanglement detection of bipartite states36. Also, Li et al. used the MUMs to introduce new positive quantum maps and entanglement witnesses37 that generalize the construction from Ref.16.
In the following sections, we recall the definition of mutually unbiased measurements as well as the method of their construction. Next, we use a set of MUMs to introduce a family of positive, trace-preserving maps and the corresponding entanglement witnesses. We illustrate our results with several examples. By using mutually unbiased measurement to construct orthonormal Hermitian bases, we prove that these witnesses do not depend on the parameter that characterizes the MUM properties. However, it turns out that there exists a relation between indecomposability of witnesses and the optimal value of . Finally, we show how our family of entanglement witnesses is related to a large class of witnesses based on the CCNR separability criterion38.
Mutually unbiased measurements
In quantum information theory, any measurement is represented by a positive, operator-valued measure (POVM) . The probability of obtaining the outcome labeled by is , where is a density operator. A special class of POVMs consists in measurement operators that are orthogonal projectors. Symmetric projective measurements can be performed using mutually unbiased bases. Recall that orthonormal bases in , numbered by , are mutually unbiased if and only if for . Now, the corresponding rank-1 projectors , which satisfy the properties
| 2 |
forms a set of N mutually unbiased projective measurements. Kalev and Gour generalized this notion to non-projective measurement operators21. Indeed, the measurements are mutually unbiased if and only if
| 3 |
where . For , one reproduces Eq. (2). The maximal number of MUMs forms an informationally complete set and can be constructed using an orthonormal basis of traceless Hermitian operators . The relation between and is given by the formula
| 4 |
where
| 5 |
The parameter t relates to via
| 6 |
and it is chosen in such a way that . The optimal value is the highest possible value of for which the condition holds. Notably, depends on the choice of the operator basis . For example, for the Gell-Mann matrices (see Appendix A), and for the basis that gives rise to the mutually unbiased basis.
Positive maps and entanglement witnesses
Let us consider the trace-preserving map
| 7 |
where is the completely depolarizing channel and
| 8 |
The maps are constructed from mutually unbiased measurements and orthogonal rotations that preserve the vector . Note that the greater the value of L (i.e., the more we subtract), the higher the coefficient that stands before the identity operator .
Proposition 1
The trace-preserving map defined by Eq. (7) is positive.
Proof
Take an arbitrary rank-1 projector P. We prove that
| 9 |
which is a sufficient positivity condition for 16. For simplicity, we consider the map
| 10 |
where and . Now, let us calculate
| 11 |
Observe that the subsequent terms can be simplified as follows,
| 12 |
and
| 13 |
where we used the trace properties of MUMs from Eq. (3), as well as the properties of the orthogonal rotation matrices,
| 14 |
Hence, Eq. (11) reduces to
| 15 |
The mutually unbiased measurements satisfy the following property27,28,
| 16 |
Applying this inequality to Eq. (15), together with the definition of a, results in
| 17 |
which finally proves that condition (9) holds.
Remark 1
In the proof to Proposition 1, out of all the defining properties of MUMs, the positivity condition is the only one that is never used. Hence, one can take to construct using Eq. (7), and this map is still positive. In other words, any operators that sum up to the identity and satisfy Eq. (3) for an arbitrary real parameter give rise to a positive, trace-preserving map .
Note that the map generalizes several positive maps already known in the literature:
when no inversions are present (), one recovers the map considered in Ref.37;
for and , reduces to the map constructed from MUBs16;
if and there are no rotations (), one arrives at the maps of the type analyzed in Ref.39;
if , , and , we obtain the generalized Pauli map40.
Positive maps find important applications in the theory of quantum entanglement, where they are used to detect entangled (non-separable) states. From definition in Eq. (1), we find that the entanglement witness corresponding to the positive map reads
| 18 |
where
| 19 |
Recall that in any dimension d one can always construct the maximal set of MUMs using an orthonormal basis of traceless Hermitian operators . Hence, whenever one knows the full set of mutually unbiased measurements, the entanglement witness is equivalently given by
| 20 |
with
| 21 |
In the above equation, we used the one-to-one correspondence between and found by Kalev and Gour21 to reverse engineer the Hermitian basis from a known complete set of MUMs. Observe that there is now no dependence of the witness on the parameter . This is due to the fact that characterizes mutually unbiased measurements and not operator bases.
Now, let us propose several examples of entanglement witnesses that fall into the category established by .
Example 1
First, let us take the maximal values for . Also, assume that there are no rotations, so that for . Finally, fix the operator basis to be the Gell-Mann matrices (see Appendix A). In this case, we have
| 22 |
| 23 |
This allows us to write the formula for from Eq. (20) in the form
| 24 |
where is the maximally entangled state. This is exactly the entanglement witness corresponding to the reduction map41.
Example 2
Now, consider the dimension and take, as in the previous example, as well as for . However, assume that the final rotation matrix describes a permutation, where
| 25 |
Denote the witness corresponding to the choice by . For the Gell-Mann matrices, one finds
| 26 |
which belong to the Choi-type maps analyzed in Ref.42. For clarity, all zeros are represented by dots. The same witnesses can also be obtained from the mutually unbiased bases16.
Unfortunately, these simple forms of entanglement witnesses constructed from the Gell-Mann matrices are not preserved for . However, this can be remedied if one modifies the diagonal matrices in the Gell-Mann basis.
Example 3
In what follows, we generalize Example 2 to an arbitrary finite dimension d. Once again, we take the maximal , for , and the permutation matrix , . Instead of the Gell-Mann matrices, in the construction of the entanglement witness, we use the operator basis introduced in Appendix B. Due to this change, can be simplified to
| 27 |
Now, the associated witness is given by
| 28 |
where
| 29 |
Interestingly, even though the parameter that characterizes mutually unbiased measurements is not present in the formula for , the properties of entanglement witnesses depend on the optimal (maximal) value of . Indeed, for the MUMs constructed from the Gell-Mann matrices with , there are less indecomposable witnesses than for the MUBs, where .
Example 4
In dimension , assuming the maximal value of and no rotations ( for ), there are five indecomposable witnesses that can be constructed from the mutually unbiased bases. Some examples for are
| 30 |
which can be used to detect the positive partial transpose (PPT) states
| 31 |
respectively.
On the contrary, all witnesses that arise from the Gell-Mann basis are decomposable, including
| 32 |
Recall that a witness W is decomposable if it can be written as , where and denotes the partial transposition with respect to the second subsystem. In our example, can be decomposed into with the positive operators
| 33 |
whereas is decomposable into with positive
| 34 |
Now, observe that from Eq. (21) can be expressed directly through the elements of the operator basis , as the operators depend directly on . Indeed, after writing out using Eq. (5), one arrives at
| 35 |
with
| 36 |
In the above formula, are rescaled orthogonal matrices since . Assume for now that . Then, the corresponding entanglement witness is given by
| 37 |
where . After a simple relabelling of indices, , it follows that
| 38 |
with a block-diagonal orthogonal matrix
| 39 |
Therefore, the entanglement witnesses constructed from MUMs belong to a larger class of witnesses38
| 40 |
defined with the use of any orthonormal Hermitian bases and an orthogonal matrix . Actually, it is enough that , so the above consideration is also true for both and if one allows for the rotation matrices to change the sign of ().
Now, let us compare entanglement detection properties of witnesses constructed from MUMs with another separability criterion. The realignment or computable cross-norm (CCNR) criterion7–9 states that if a bipartite state is separable, then reshuffling does not increase its trace norm,
| 41 |
where for . Consider a family of PPT states detected by from Example 4,
| 42 |
where
| 43 |
Performing realignment on is equivalent to . Observe that
| 44 |
where we expressed the trace norm using the eigenvalues of ,
| 45 |
From Eq. (43), it follows that and , and therefore
| 46 |
which means that the CCNR criterion detects all entangled states . This result follows from the fact that entanglement witnesses from Eq. (40) belong to the family of witnesses based on the CCNR separability criterion. Therefore, they do not detect more entanglement than realignment. However, there is a significant advantage to using witnesses over the CCNR critetion. Observe that to check condition (41), one needs to perform a full tomography of (i.e., know the whole density operator). Meanwhile, to detect entanglement of with a witness, it is enough to calculate its expectation value in this state. Such procedure is less costly, both computationally and experimentally.
Conclusions
In this paper, we constructed a family of positive, trace-preserving maps using mutually unbiased measurements and orthogonal matrices. We showed that these maps give rise to entanglement witnesses regardless of the value of the parameter , which means that the positivity of mutually unbiased measurements is not required. We provided several interesting examples of witnesses for as well as an arbitrary finite dimension using the construction of MUMs from two different orthonormal Hermitian bases. We also showed that there is a relation between indecomposability of witnesses and the optimal value of . At last, we proved that our construction belongs to the family of witnesses based on the CCNR separability criterion38, where the Hermitian basis consists in the identity and traceless operators, and the orthogonal matrix is block-diagonal. It would be interesting to provide a multipartite generalization of this construction.
Supplementary Information
Acknowledgements
This paper was supported by the Polish National Science Centre project No. 2018/30/A/ST2/00837. K.S. was also supported by the Foundation for Polish Science (FNP).
Author contributions
K.S. and D.C. analyzed the results, as well as wrote and reviewed the manuscript.
Competing interests
The authors declare no competing interests.
Footnotes
Publisher's note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Supplementary Information
The online version contains supplementary material available at 10.1038/s41598-021-02356-2.
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