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. 2021 Nov 26;11:22988. doi: 10.1038/s41598-021-02356-2

Entanglement witnesses from mutually unbiased measurements

Katarzyna Siudzińska 1,, Dariusz Chruściński 1
PMCID: PMC8626499  PMID: 34836979

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 ρ on the Hilbert space H1H2 is separable if and only if it can be decomposed into ρ=kpkρk(1)ρk(2), where ρk(1) and ρk(2) are density operators of two subsystems and pk is a probability distribution. It turns out that ρ is separable if and only if (1Φ)[ρ]0 for any positive map Φ2. 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 Φ via the Choi-Jamiołkowski isomorphism,

W=i,j=0d-1|ij|Φ[|ij|], 1

where |k is an orthonormal basis in HCd. Any such bipartite operator is Hermitian and positive on separable states (ψϕ|W|ψϕ0). Entanglement witnesses define a universal mathematical tool to analyze quantum entangled states. For any entangled state ρ, there exists an entanglement witness W (which is not unique) such that Tr(Wρ)<0 (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 W=A+BΓ, where A,B0 and BΓ 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 criterion79, and covariance matrix criterion1012. These were recently generalized in Refs.13,14. Another interesting class of indecomposable witnesses is constructed in terms of mutually unbiased bases1520. 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 d+1 for power prime dimensions d24,25 and at least three otherwise26, one can always construct the maximal number of d+1 MUMs. The applications of mutually unbiased measurements range from entropic uncertainty relations2729, through separability criteria for d-dimensional bipartite3032 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 Nd+1 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 κ that characterizes the MUM properties. However, it turns out that there exists a relation between indecomposability of witnesses and the optimal value of κ. 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) {Eα|Eα0,αEα=Id}. The probability of obtaining the outcome labeled by α is pα=Tr(Eαρ), where ρ 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 {ψk(α),k=0,,d-1} in Cd, numbered by α=1,,N, are mutually unbiased if and only if |ψk(α)|ψl(β)|2=1/d for αβ. Now, the corresponding rank-1 projectors Pk(α)=|ψk(α)ψk(α)|, which satisfy the properties

Tr(Pk(α))=1,Tr(Pk(α)Pl(β))=δαβδkl+1d(1-δαβ), 2

forms a set of N mutually unbiased projective measurements. Kalev and Gour generalized this notion to non-projective measurement operators21. Indeed, the measurements {Pk(α)|Pk(α)0,k=0d-1Pk(α)=Id} are mutually unbiased if and only if

Tr(Pk(α))=1,Tr(Pk(α)Pl(β))=1d+dκ-1d-1δαβδkl-1d, 3

where 1/d<κ1. For κ=1, one reproduces Eq. (2). The maximal number of d+1 MUMs forms an informationally complete set and can be constructed using an orthonormal basis {Id/d,Gα,k} of traceless Hermitian operators Gα,k. The relation between Gα,k and Pk(α) is given by the formula

Pk(α)=1dId+tFk(α), 4

where

Fk(α)=l=1d-1Gα,l-d(d+1)Gα,k,k0,(d+1)l=1d-1Gα,l,k=0. 5

The parameter t relates to κ via

κ=1d+(d-1)t2(1+d)2, 6

and it is chosen in such a way that Pk(α)0. The optimal value κopt is the highest possible value of κ for which the condition Pk(α)0 holds. Notably, κopt depends on the choice of the operator basis Gα,k. For example, κopt=d+2d2 for the Gell-Mann matrices (see Appendix A), and κopt=1 for the basis that gives rise to the mutually unbiased basis.

Positive maps and entanglement witnesses

Let us consider the trace-preserving map

Φ=1dκ-1(dκ-1-N+2L)Φ0+α=L+1NΦα-α=1LΦα, 7

where Φ0[X]=IdTr(X)/d is the completely depolarizing channel and

Φα[X]=k,l=0d-1Okl(α)Pk(α)Tr(Pl(α)X). 8

The maps Φα are constructed from mutually unbiased measurements Pk(α) and orthogonal rotations O(α) that preserve the vector n=(1,,1)/d. Note that the greater the value of L (i.e., the more we subtract), the higher the coefficient that stands before the identity operator Id.

Proposition 1

The trace-preserving map defined by Eq. (7) is positive.

Proof

Take an arbitrary rank-1 projector P. We prove that

Tr(Φ[P])21d-1, 9

which is a sufficient positivity condition for Φ16. For simplicity, we consider the map

Φ~=aΦ0+α=L+1NΦα-α=1LΦα, 10

where a=dκ-1-N+2L and Φ~=(dκ-1)Φ. Now, let us calculate

Tr(Φ~[P])2=Tr{a2Φ0[P]2+α,β=1LΦα[P]Φβ[P]+α,β=L+1NΦα[P]Φβ[P]+2aα=L+1NΦ0[P]Φα[P]-2aα=1LΦ0[P]Φα[P]-2α=L+1Nβ=1LΦα[P]Φβ[P]}. 11

Observe that the subsequent terms can be simplified as follows,

Tr(Φ0[P]2)=Tr(Φ0[P]Φα[P])=Tr(Φα[P]Φβ[P])=1d,αβ, 12

and

Tr(Φα[P]2)=1-κd-1+dκ-1d-1m=0d-1Tr(Pm(α)P)2, 13

where we used the trace properties of MUMs from Eq. (3), as well as the properties of the orthogonal rotation matrices,

k=0d-1Okl(α)=l=0d-1Okl(α)=1,k=0d-1Okl(α)Okm(α)=δlm. 14

Hence, Eq. (11) reduces to

Tr(Φ~[P])2=1d[a2+(N-L)(N-L-1)+L(L-1)+2a(N-L)-2aL-2L(N-L)]+1-κd-1N+dκ-1d-1α=1Nm=0d-1Tr(Pm(α)P)2,=1d[(a+N-2L)2-N]+1-κd-1N+dκ-1d-1α=1Nm=0d-1Tr(Pm(α)P)2 15

The mutually unbiased measurements satisfy the following property27,28,

α=1Nk=0d-1TrPk(α)P2N-1d+κ. 16

Applying this inequality to Eq. (15), together with the definition of a, results in

Tr(Φ~[P])2(dκ-1)2-Nd+1-κd-1N+dκ-1d-1N-1d+κ=(dκ-1)2d-1, 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 Pk(α)0 is the only one that is never used. Hence, one can take Pk(α)0 to construct Φ using Eq. (7), and this map is still positive. In other words, any operators Pk(α) that sum up to the identity and satisfy Eq. (3) for an arbitrary real parameter κ give rise to a positive, trace-preserving map Φ.

Note that the map Φ generalizes several positive maps already known in the literature:

  • when no inversions are present (L=N), one recovers the map considered in Ref.37;

  • for L=N and κ=1, Φ reduces to the map constructed from MUBs16;

  • if L=N=d+1 and there are no rotations (O(α)=Id), one arrives at the maps of the type analyzed in Ref.39;

  • if L=N=d+1, O(α)=Id, and κ=1, 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 Φ~=(dκ-1)Φ reads

W=dκ-1-N+2LdId2+α=L+1NHα-α=1LHα, 18

where

Hα=k,l=0d-1Okl(α)P¯l(α)Pk(α). 19

Recall that in any dimension d one can always construct the maximal set of d+1 MUMs using an orthonormal basis {Id/d,Gα,k} of traceless Hermitian operators Gα,k. Hence, whenever one knows the full set of d+1 mutually unbiased measurements, the entanglement witness is equivalently given by

W~=d(d-1)(d+1)2dκ-1W=(d-1)(d+1)2Id2+α=L+1NJα-α=1LJα, 20

with

Jα=k,l=0d-1Okl(α)F¯l(α)Fk(α). 21

In the above equation, we used the one-to-one correspondence between Pk(α) and Gα,k 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 W~ on the parameter κ. This is due to the fact that κ characterizes mutually unbiased measurements and not operator bases.

Now, let us propose several examples of entanglement witnesses that fall into the category established by W~.

Example 1

First, let us take the maximal values for N=L=d+1. Also, assume that there are no rotations, so that O(α)=Id for α=1,,d+1. Finally, fix the operator basis Gα,k to be the Gell-Mann matrices (see Appendix A). In this case, we have

α=1dJα=d(d+1)2k,m=0d-1|km||km|-k=0d-1|kk||kk|, 22
Jd+1=(d+1)2dk=0d-1|kk||kk|-Id2. 23

This allows us to write the formula for W~ from Eq. (20) in the form

W~=d(d+1)2Id2-dP+, 24

where P+=1di,j=0d-1|ij||ij| is the maximally entangled state. This is exactly the entanglement witness corresponding to the reduction map41.

Example 2

Now, consider the dimension d=3 and take, as in the previous example, N=L=4 as well as O(α)=I3 for α=1,2,3. However, assume that the final rotation matrix O(4)=Sk describes a permutation, where

S1=001100010,S2=010001100. 25

Denote the witness corresponding to the choice O(4)=Sk by W~k. For the Gell-Mann matrices, one finds

W~1=6(2+3)1···-1···-1···········1·········1·····-1···1···-1·························1·-1···-1···1,W~2=6(2+3)1···-1···-1·1·························-1···1···-1·····1·········1···········-1···-1···1, 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 d>3. 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 N=L=d+1, O(α)=Id for α=1,,d, and the permutation matrix O(d+1)=S(r), S(r)|i=|i+r. 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, Jd+1 can be simplified to

Jd+1=(d+1)2dk=0d-1|k-rk-r||kk|-Id2. 27

Now, the associated witness W~ is given by

W~=d(d+1)2Id2-dR, 28

where

R=1dk,m=0d-1|km||km|-k=0d-1(|kk|-|k-rk-r|)|kk|. 29

Interestingly, even though the parameter κ that characterizes mutually unbiased measurements is not present in the formula for W~, the properties of entanglement witnesses depend on the optimal (maximal) value of κ. Indeed, for the MUMs constructed from the Gell-Mann matrices with κopt=d+2d2, there are less indecomposable witnesses than for the MUBs, where κopt=1.

Example 4

In dimension d=3, assuming the maximal value of N=4 and no rotations (O(α)=I3 for α=1,,4), there are five indecomposable witnesses that can be constructed from the mutually unbiased bases. Some examples for L=2 are

W~1=2(2+3)····1···1·3···-2-2····3-2···-2···-23···-2·1·······1·-2···3-2···-2···-23····-2-2···3·1···1····,W~2=2(2+3)4···-1···-1·1···22····12···2···21···2·-1···4···-1·2···12···2···21····22···1·-1···-1···4, 30

which can be used to detect the positive partial transpose (PPT) states

ρ1=1244···1···1·2···22····22···2···22···2·1···4···1·2···22···2···22····22···2·1···1···4,ρ2=13(3+3)3-1···3-1···3-1·2···-1-1····2-1···-1···-12···-1·3-1···3-1···3-1·-1···2-1···-1···-12····-1-1···2·3-1···3-1···3-1, 31

respectively.

On the contrary, all witnesses that arise from the Gell-Mann basis are decomposable, including

W~3=6(2+3)········1·1·-1·······1·······-1·1···················1·1·······1·······1·1·1········,W~4=2(2+3)4···-3·····1·········1···3·····1·····-3···4·········1·3···3···1·······3·1·········4. 32

Recall that a witness W is decomposable if it can be written as W=A+BΓ, where A,B0 and Γ denotes the partial transposition with respect to the second subsystem. In our example, W~3 can be decomposed into W~3=A3+B3Γ with the positive operators

A3=6(2+3)··········1·-1···············-1·1···················1·1···············1·1··········,B3=6(2+3)····················1···1·······························1···1····················, 33

whereas W~4 is decomposable into W~4=A4+B4Γ with positive

A4=2(2+3)··········1·-1·······1···1···-1·1···················1·1···1···1·······1·1··········,B4=2(2+3)4···-2···2···························-2···4···2···························2···2···4. 34

Now, observe that Jα from Eq. (21) can be expressed directly through the elements of the operator basis Gα,k, as the operators Fk(α) depend directly on Gα,k. Indeed, after writing out Fk(α) using Eq. (5), one arrives at

Jα=k,l=1d-1Qkl(α)G¯α,lGα,k 35

with

Qkl(α)=d(O00(α)-1)+d(d+1)2Okl(α)-d(d+1)(O0l(α)+Ok0(α)). 36

In the above formula, Q(α) are rescaled orthogonal matrices since Q(α)TQ(α)=Q(α)Q(α)T=d2(d+1)4Id-1. Assume for now that N=L=d+1. Then, the corresponding entanglement witness W~ is given by

W~=d(d+1)2Id2-d(d+1)2G0G0-1d(d+1)2α=1d+1Jα, 37

where G0=Id/d. After a simple relabelling of indices, (α,k)μ, it follows that

W~=d(d+1)2Id2-μ,ν=0d2-1QμνGμTGν 38

with a block-diagonal orthogonal matrix

Q=1d(d+1)2d(d+1)2Q(1)Q(2)Q(d+1). 39

Therefore, the entanglement witnesses constructed from d+1 MUMs belong to a larger class of witnesses38

W=Id2-μ,ν=0d2-1QμνGμTGν 40

defined with the use of any orthonormal Hermitian bases Gμ and an orthogonal matrix Qμν. Actually, it is enough that QTQId2, so the above consideration is also true for both Nd+1 and Ld+1 if one allows for the rotation matrices O~(α) to change the sign of n (O~(α)n=±n).

Now, let us compare entanglement detection properties of witnesses constructed from MUMs with another separability criterion. The realignment or computable cross-norm (CCNR) criterion79 states that if a bipartite state ρ is separable, then reshuffling does not increase its trace norm,

ρRTr1, 41

where ρR=ijklρik,jl|ij||kl| for ρ=ijklρij,kl|ij||kl|. Consider a family of PPT states detected by W~1 from Example 4,

ρ1=13(2x+1)1···y···y·x···zz····xz···z···zx···z·y···1···y·z···xz···z···zx····zz···x·y···y···1, 42

where

0<z<1,zx<z(2-z),2z2-xy<4z-3x. 43

Performing realignment on ρ1 is equivalent to xy. Observe that

ρ1RTr=13|2x+1|(|2x+1|+2|1-x|+4|y-z|+2|y+2z|), 44

where we expressed the trace norm using the eigenvalues λk of ρ1R,

ρ1RTr=k=1d|λk|. 45

From Eq. (43), it follows that 0<x<1 and 0<y<z, and therefore

ρ1RTr=3-2y+8z3(2x+1)>1, 46

which means that the CCNR criterion detects all entangled states ρ1. 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 ρ (i.e., know the whole density operator). Meanwhile, to detect entanglement of ρ 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 Nd+1 mutually unbiased measurements and orthogonal matrices. We showed that these maps give rise to entanglement witnesses regardless of the value of the parameter κ, which means that the positivity of mutually unbiased measurements is not required. We provided several interesting examples of witnesses for d=3 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 κ. 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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