Composite parameterization and Haar measure for all unitary and special unitary groups

Christoph Spengler, Marcus Huber, Beatrix C. Hiesmayr

Introduction

Unitary and special unitary groups play an important role in various fields of physics. Several problems that arise in the context of these groups require to express them in terms of a set of real parameters. In general, such parameterizations are not unique in the sense that the considered groups can be parameterized in many different ways. With regard to the diversity of problems it is reasonable to have a repertoire of different parameterizations available, in order to be able to choose the most convenient one for a given problem. In Ref. we recently introduced the composite parameterization of the unitary group U(d)\mathcal{U}(d) as an alternative to the canonical parameterization U=exp(iH)U=\exp(iH) via hermitian matrices HH and those presented in Refs. . It was shown that our parameterization enables a simple identification of redundant parameters when it is applied to describing orthonormal bases, density matrices of arbitrary rank and subspaces. For all these objects we found representations containing the minimal number of parameters needed. Due to its concise notation, simple implementation and computational benefits it has already found widespread applications in research on lattice correlation functions , quantum nonlocality , genuine multipartite entanglement and quantum secret sharing .

The aim of the present paper is twofold. First, we adopt our concept that was used in Ref. to obtain a novel parameterization of the special unitary group SU(d)\mathcal{SU}(d). The need of additional representations of this group is not only apparent because of its vital relevance in all kinds of fields involving quantum physics (see Ref. for an overview), but moreover is given because the number of available parameterizations is relatively low compared to U(d)\mathcal{U}(d). Here, our parameterization is proposed as an alternative to the canonical parameterization U=exp(iH)U=\exp(iH) via traceless hermitian matrices HH and the generalized Euler angle parameterization introduced by Tilma and Sudarshan.

Second, we rigorously derive the normalized Haar measure in terms of the introduced parameters for both the unitary U(d)\mathcal{U}(d) and the special unitary group SU(d)\mathcal{SU}(d) of arbitrary dimension. In form of an infinitesimal volume element of a group, the Haar measure contains all information about the distribution density in its parameter representation. This in return is essential for the capability of generating uniformly distributed random unitaries, density matrices and subspaces, as they are important in, for instance, Monte Carlo simulations or quantum data hiding . Explicit expressions of the normalized Haar measure can furthermore be useful to tackle group integrals as they appear in lattice QCD , quantum optics , stochastic processes and mesoscopic systems . In quantum information they can be found in the context of symmetric states (Werner and isotropic states ) and the a priori entanglement of quantum systems .

Within recent years much attention has been paid to integrals over unitary groups, i.e. U(d)f(U,U)dU\intop\nolimits_{\mathcal{U}(d)}f(U,U^{*})dU whose integrand is a polynomial in UU and UU^{*}. It was shown that such integrals can be replaced by a sum of function values f(Ui,Ui)f(U_{i},U_{i}^{*}) using a finite set of unitaries {Ui}N\{U_{i}\}_{N}. Such sets are termed unitary tt-designs , wherein tt denotes that the degree of the polynomial in UU and UU^{*} is at most tt. Whereas the existence of a unitary tt-design was proven for all dimensions dd and all polynomial degrees tt (see Ref. ), it is generally unknown how to construct them for arbitrary dd and tt. In addition, there currently exists no simple analytic method for solving any integral over any polynomial. Due to this, there have been several attempts to find schemes to approximate unitary tt-designs. Here, the usefulness of our results in the context of unitary tt-designs and their approximations is obvious: Since we do not only provide the Haar measure but also the exact parameter ranges for group covering, the integration of polynomials can be performed explicitly and solved analytically in many cases. This in return allows to verify (or falsify) suggested unitary designs and to test the accuracy of approximations. Apart from that, our tools for computing integrals are not limited to polynomials, but are applicable to arbitrary functions.

The paper is organized as follows. In Section 2 we review the composite parameterization of the unitary group U(d)\mathcal{U}(d). In Section 3 we introduce the composite parameterization of the special unitary group SU(d)\mathcal{SU}(d). In Section 4 the general formula for the Haar measure on U(d)\mathcal{U}(d) is stated and proven. An analogous formula for the Haar measure on the special unitary group SU(d)\mathcal{SU}(d) can be found in Section 5. Finally, in Section 6 we make useful remarks on computing integrals over U(d)\mathcal{U}(d) and SU(d)\mathcal{SU}(d) using the composite parameterization and the associated Haar measure.

Composite parameterization of the unitary group 𝒰​(d)𝒰𝑑\mathcal{U}(d)

and d(d1)/2{d(d-1)}/{2} anti-symmetric matrices These can be considered as generalizations of the Pauli matrix σy\sigma_{y}

each acting on a two-dimensional subspace spanned by m\left|m\right\rangle and n\left|n\right\rangle. In our previous paper , using these operators we have proven the following theorem:

Any operator of the unitary group U(d)\mathcal{U}(d) can be written as The order of the product is i=1NAi=A1A2AN\prod_{i=1}^{N}A_{i}=A_{1}\cdot A_{2}\mathinner{\cdotp\cdotp\cdotp}A_{N}

using d2d^{2} real parameters {λm,n}m,n=1,,d\{\lambda_{m,n}\}_{m,n=1,\mathellipsis,d} in the ranges λm,n[0,2π]\lambda_{m,n}\in\left[0,2\pi\right] for mnm\geq n and λm,n[0,π2]\lambda_{m,n}\in\left[0,{\pi\over 2}\right] for m<nm<n. The idea behind this construction was to compose the unitary group out of ‘elementary operations’ such as rotations and phase shifts. Here, these operations are realized through the matrix exponential functions exp(iYm,nα)\exp\left(iY_{m,n}\alpha\right) (generates a rotation) and exp(iPlα)\exp\left(iP_{l}\alpha\right) (shifts a phase). To make an ansatz for an arbitrary unitary operator it is useful to think of unitaries as orthonormal basis transformations. In this way, the form (LABEL:Uc) can be interpreted as one option of incorporating dd global phase operations

as well as d(d1)/2d(d-1)/2 rotations followed by relative phase shifts

Composite parameterization of the special unitary group 𝒮​𝒰​(d)𝒮𝒰𝑑\mathcal{SU}(d)

These are possible generalizations of the diagonal Pauli matrix σz\sigma_{z} acting on the subspace spanned by m\left|m\right\rangle and n\left|n\right\rangle. In (LABEL:distinc) the operation exp(iPnλn,m)\exp\left(iP_{n}\lambda_{n,m}\right) was used to generate a relative phase shift between the vector components m\left|m\right\rangle and n\left|n\right\rangle. However, the same effect can also be achieved with exp(iZm,nλn,m)\exp\left(iZ_{m,n}\lambda_{n,m}\right) meaning that (LABEL:distinc) can be replaced by

It now remains to turn our attention to the last part of (LABEL:Uc), i.e. [l=1dexp(iPlλl,l)]\left[\prod_{l=1}^{d}\exp(iP_{l}\lambda_{l,l})\right]. Here, each exp(iPlλl,l)\exp(iP_{l}\lambda_{l,l}) is regarded as a global phase operation on l\left|l\right\rangle. Special unitarity implies that there are only d1d-1 independent global phase operations instead of dd for U(d)\mathcal{U}(d). There is no unique way how these operations can be realized using matrix exponentials of (LABEL:genZ). However, a possible and convenient choice is

In this version, the first d1d-1 vectors 1,,d1\left|1\right\rangle,\mathellipsis,\left|d-1\right\rangle experience the phase shifts eiλ1,11,,eiλd1,d1d1e^{i\lambda_{1,1}}\left|1\right\rangle,\mathellipsis,e^{i\lambda_{d-1,d-1}}\left|d-1\right\rangle while the last vector d\left|d\right\rangle gets phase shifted in the overall inverse direction, i.e. eil=1d1λl,lde^{-i\sum_{l=1}^{d-1}\lambda_{l,l}}\left|d\right\rangle. Note that according to our labeling there is no parameter λd,d\lambda_{d,d}. Thus, in total we have the desired number of d21d^{2}-1 parameters λm,n\lambda_{m,n}. In summary, this leads to the next theorem:

Any operator of the special unitary group SU(d)\mathcal{SU}(d) can be written as

using d21d^{2}-1 real parameters {λm,n}\{\lambda_{m,n}\}Note that the indices mm and nn again run from 11 to dd except that there is no λd,d\lambda_{d,d}. in the ranges λm,n[0,π]\lambda_{m,n}\in\left[0,\pi\right] for m>nm>n, λm,n[0,π2]\lambda_{m,n}\in\left[0,{\pi\over 2}\right] for m<nm<n and λm,n[0,2π]\lambda_{m,n}\in\left[0,2\pi\right] for m=nm=n.

The order of the factors in UCU_{C}^{\dagger} implies that Λ1,2\Lambda_{1,2}^{\dagger} acts first on UU. For U=Λ1,2U=r,s=1dar,srsU^{\prime}=\Lambda_{1,2}^{\dagger}U=\sum_{r,s=1}^{d}a^{\prime}_{r,s}\left|r\right\rangle\left\langle s\right| one obtains

All other components remain unchanged, i.e. ar,s=ar,sa^{\prime}_{r,s}=a_{r,s} for r>2r>2 if d>2d>2. We observe that a2,1a^{\prime}_{2,1} can always be made zero using particular values for λ1,2\lambda_{1,2} and λ2,1\lambda_{2,1}: In case a1,1a_{1,1} and a2,1a_{2,1} both are zero, both parameters λ1,2\lambda_{1,2} and λ2,1\lambda_{2,1} can be chosen freely. If only a1,1=0a_{1,1}=0 one chooses λ1,2=π2\lambda_{1,2}={\pi\over 2}. If both are unequal zero then a2,1a^{\prime}_{2,1} vanishes for

It is worth mentioning some properties of the composite parameterization. In our previous paper on the parameterization of U(d)\mathcal{U}(d) we have shown that it can be rather insightful to gather the parameters λm,n\lambda_{m,n} in a matrix

In this notation the lower left entries represent relative phase shifts, the diagonal global phase shifts and the upper right rotations (with respect to the computational basis {1,,d}\{\left|1\right\rangle,\mathellipsis,\left|d\right\rangle\}). Using this representation is particularly useful for illustrating which parameters are irrelevant for certain tasks. For instance, we have shown that for parameterizing an orthonormal set of kk vectors {Ψ1,,Ψk}\{\left|\Psi_{1}\right\rangle,\mathellipsis,\left|\Psi_{k}\right\rangle\} only the k(2dk1)k(2d-k-1) non-zero parameters of the following matrix are relevant

Let us illustrate another important feature of the composite parameterization. The (dk)2(d-k)^{2} or (dk)21(d-k)^{2}-1, respectively, non-zero parameters

correspond to the (special) unitary group for the (dk)(d-k)-dimensional subspace defined by span(k+1,,d)\textrm{span}(\left|k+1\right\rangle,\mathellipsis,\left|d\right\rangle). This directly follows from the correct number of required parameters in combination with the fact that the subspace span(UC1,,UCk)\textrm{span}(U_{C}\left|1\right\rangle,\mathellipsis,U_{C}\left|k\right\rangle) is independent of the illustrated parameters. Note that this feature will be helpful in an upcoming proof.

Haar measure on the unitary group 𝒰​(d)𝒰𝑑\mathcal{U}(d)

Let us now assign an infinitesimal volume element dUddU_{d} to the unitary group U(d)\mathcal{U}(d) in terms of the composite parameterization UC=UC(λ1,1,,λd,d)U_{C}=U_{C}(\lambda_{1,1},\mathellipsis,\lambda_{d,d}). This can be achieved by determining the associated Haar measure. This means that, as for any compact Lie group, we must find a measure of volume which is left and right invariant . Explicitly, we require that dUddU_{d} satisfies

for all U1,U2U(d)U_{1},U_{2}\in\mathcal{U}(d). Generally, an invariant measure is (up to an irrelevant constant) determined by the absolute value of the Jacobian determinant

and where {αl}\{\alpha_{l}\} are any d2d^{2} parameters that cover U(d)\mathcal{U}(d). Here, a left or right translation U1,U2U(d)U_{1},U_{2}\in\mathcal{U}(d) merely induces a unitary basis transformation of {bk}\{b_{k}\} which is length and angle preserving. Hence, JdJ_{d} is invariant under these transformations and

is a Haar measureIntuitively: When changing from the orthogonal coordinates {uk}\{u_{k}\} to the non-orthogonal coordinates {αl}\{\alpha_{l}\} the infinitesimal volume element transforms as k=1d2duk=det(u1,,ud2)(α1,,αd2)l=1d2dαl\prod_{k=1}^{d^{2}}du_{k}=\left|\det{\partial(u_{1},\mathellipsis,u_{d^{2}})\over\partial(\alpha_{1},\mathellipsis,\alpha_{d^{2}})}\right|\prod_{l=1}^{d^{2}}d\alpha_{l} according to the Jacobian determinant.. Our aim is to derive a general expression of dUddU_{d} for arbitrary dd in terms of the parameterization introduced in Section 2, i.e.

where NdN_{d} is a normalization constant such that U(d)dUd=1\intop\nolimits_{\mathcal{U}(d)}dU_{d}=1. We obtain the following:

In terms of the d2d^{2} parameters λm,n\lambda_{m,n} introduced in Theorem 1 the (normalized) Haar measure on the unitary group U(d)\mathcal{U}(d) reads

such that U(d)dUd=1\intop\nolimits_{\mathcal{U}(d)}dU_{d}=1.

For simplicity, let us start with the case d=2d=2. Using the canonical operator basis {bk}={11,12,21,22}\{b_{k}\}=\{\left|1\right\rangle\left\langle 1\right|,\left|1\right\rangle\left\langle 2\right|,\left|2\right\rangle\left\langle 1\right|,\left|2\right\rangle\left\langle 2\right|\} and the order of the parameters {αl}={λ1,1,λ1,2,λ2,1,λ2,2}\{\alpha_{l}\}=\{\lambda_{1,1},\lambda_{1,2},\lambda_{2,1},\lambda_{2,2}\} we obtain the Jacobian matrix

Using the Laplace expansion and elementary simplifications one finds

The relation (LABEL:Haargeneral) combined with normalization

One could in principle compute dUddU_{d} analogously for arbitrary dd, i.e. using the canonical operator basis {bk}={11,12,13,,dd1,dd}\{b_{k}\}=\{\left|1\right\rangle\left\langle 1\right|,\left|1\right\rangle\left\langle 2\right|,\left|1\right\rangle\left\langle 3\right|,\mathellipsis,\left|d\right\rangle\left\langle d-1\right|,\left|d\right\rangle\left\langle d\right|\} and the naive order {αl}={λ1,1,λ1,2,λ1,3,,λd,d1,λd,d}\{\alpha_{l}\}=\{\lambda_{1,1},\lambda_{1,2},\lambda_{1,3},\mathellipsis,\lambda_{d,d-1},\lambda_{d,d}\}. For instance, a long and cumbersome computation reveals that

demonstrating the validity of Theorem 3 for d=3d=3. Unfortunately, in this way, computing the determinant of the d2×d2d^{2}\times d^{2} Jacobian matrix becomes increasingly unfeasible the larger dd gets. More importantly, this approach is not suitable to prove a general expression such as (LABEL:HaarU) for all dd. However, the Jacobian matrix can be considerably simplified by taking into account the invariance of the Haar measure, the structure of the composite parameterization as well as the freedom in the choice of the operator basis and the order of the derivatives /λx,y\partial/\partial\lambda_{x,y}. In this way, the correctness of Theorem 3 can be verified for all dd.

First, due to the left invariance of the Jacobian determinant Jd=det(jk,l)J_{d}=\left|\det(j_{k,l})\right| we are allowed to perform any transformation

with U1U(d)U_{1}\in\mathcal{U}(d). Here, it is beneficial to choose U1=iUCU_{1}=-iU_{C}^{\dagger} since the matrix iUCUCλx,y-iU_{C}^{\dagger}{\partial U_{C}\over\partial\lambda_{x,y}} has a simpler form due to the fact that UCU_{C}^{\dagger} and UCλx,y{\partial U_{C}\over\partial\lambda_{x,y}} cancel each other out partially. For instance, since all projectors Pl=llP_{l}=\left|l\right\rangle\left\langle l\right| commute, for any derivative with respect to a global phase transformation /λl,l\partial/\partial\lambda_{l,l} one obtains

As can directly be inferred from the structure of UCU_{C} (LABEL:Uc), the derivatives UC/λx,y\partial U_{C}/\partial\lambda_{x,y} are

for x>yx>y. Consequently, if we apply iUC-iU_{C}^{\dagger} from the left, the products to the left of iYx,yiY_{x,y} (respectively iPxiP_{x}) cancel out and we get

Here, it is important to realize that Ux,yYx,yUx,yU_{x,y}^{\dagger}Y_{x,y}U_{x,y} and Ux,yPxUx,yU_{x,y}^{\dagger}P_{x}U_{x,y} do no longer contain operations Λm,n\Lambda_{m,n} with m<min{x,y}m<\min\{x,y\}, meaning that there are no off-diagonal elements mn\left|m\right\rangle\left\langle n\right| and nm\left|n\right\rangle\left\langle m\right| with m<min{x,y}m<\min\{x,y\}. This and the observation (LABEL:diagglobal) imply that when we choose the following orthogonal operator basis and order

the Jacobian matrix becomes a lower block-triangular matrix (jk,l) =(j^{\prime}_{k,l})\ = where all entries outside the grey-shaded blocks are zero. Thus, the Jacobian determinant simplifies to a product of the determinants of the blocks MiM_{i} and DD

where the parameters in Jd1J_{d-1} are to be substituted according to λm,nλm+1,n+1\lambda_{m,n}\rightarrow\lambda_{m+1,n+1}. This relation is a direct consequence of the fact that each iUCUCλx,y-iU_{C}^{\dagger}{\partial U_{C}\over\partial\lambda_{x,y}} with x,y2x,y\geq 2 only contains parameters λm,n\lambda_{m,n} with m,n2m,n\geq 2. As discussed in Section 3.1 the set of (d1)2(d-1)^{2} parameters λm,n\lambda_{m,n} satisfying m,n2m,n\geq 2 correspond to the unitary group U(d1)\mathcal{U}(d-1) for the (d1)(d-1)-dimensional subspace span(2,,d)\textrm{span}(\left|2\right\rangle,\mathellipsis,\left|d\right\rangle). Consequently, (LABEL:recursion) simply reflects the well-known fact that the infinitesimal volume element dUddU_{d} on U(d)\mathcal{U}(d) is the product of the infinitesimal volume element dUd1dU_{d-1} on U(d1)\mathcal{U}(d-1) times a to-be-determined function g(d)g(d), i.e.

Equation (LABEL:U3) shows that this is indeed the case since it can easily be observed that

where Ox,1O_{x,1} and O1,yO_{1,y} are orthogonal (real) matrices since they are a product of the operations exp(iY1,nλ1,n)\exp(iY_{1,n}\lambda_{1,n}) which explicitly read

According to (LABEL:basisorder), the 2(d1)×2(d1)2(d-1)\times 2(d-1) elements of M1\overline{M}_{1} are now determined by

with k{1,,2(d1)}k\in\{1,\mathellipsis,2(d-1)\}. Now consider the coefficients (LABEL:Yexp) and (LABEL:Pexp) depending on different X1,mX_{1,m} and Y1,m (2md)Y_{1,m}\ (2\leq m\leq d) of (LABEL:m1basis): \bullet \Tr(O1,yX1,mO1,yTY1,y)\Tr\left(O_{1,y}X_{1,m}O_{1,y}^{T}Y_{1,y}\right) for arbitrary mm:

Note: O1,yX1,mO1,yTO_{1,y}X_{1,m}O_{1,y}^{T} is symmetric while Y1,yY_{1,y} is antisymmetric. \bullet \Tr(O1,yY1,mO1,yTY1,y)\Tr\left(O_{1,y}Y_{1,m}O_{1,y}^{T}Y_{1,y}\right) for m<ym<y:

Note: O1,yY1,mO1,yTO_{1,y}Y_{1,m}O_{1,y}^{T} is orthogonal to Y1,yY_{1,y} for m<ym<y since the product in O1,y=n=y+1dexp(iY1,nλ1,n)O_{1,y}=\prod_{n=y+1}^{d}\exp(iY_{1,n}\lambda_{1,n}) starts with n=y+1n=y+1. \bullet \Tr(Ox,1Y1,mOx,1TPx)\Tr\left(O_{x,1}Y_{1,m}O_{x,1}^{T}P_{x}\right) for arbitrary mm:

Note: Ox,1O_{x,1} is an orthogonal (real) matrix. \bullet \Tr(Ox,1X1,mOx,1TPx)\Tr\left(O_{x,1}X_{1,m}O_{x,1}^{T}P_{x}\right) for m<xm<x:

Note: Ox,1=n=xdexp(iY1,nλ1,n)O_{x,1}=\prod_{n=x}^{d}\exp(iY_{1,n}\lambda_{1,n}) has no off-diagonal elements xOx,1m\left\langle x\right|O_{x,1}\left|m\right\rangle for m<xm<x. These four observations imply for the operator basis and parameter order

that M1\overline{M}_{1} is a lower triangular matrix \overline{M}_{1}=(j^{\prime}_{k,l})_{\mbox{\tiny{k,l=1,\mathellipsis,2(d-1)}}}=. For the determinant we can now restrict on determining the diagonal entries of M1\overline{M}_{1} which are given by \bullet \Tr(O1,yY1,mO1,yTY1,y)/\Tr(Y1,m2)\Tr\left(O_{1,y}Y_{1,m}O_{1,y}^{T}Y_{1,y}\right)/\Tr(Y^{2}_{1,m}) for m=ym=y:

Note: O1,m=n=m+1dexp(iY1,nλ1,n)O_{1,m}=\prod_{n=m+1}^{d}\exp(iY_{1,n}\lambda_{1,n}) does not have off-diagonal element 1O1,mm\left\langle 1\right|O_{1,m}\left|m\right\rangle since the product starts with n=m+1n=m+1. \bullet \Tr(Ox,1X1,mOx,1TPx)/\Tr(X1,m2)\Tr\left(O_{x,1}X_{1,m}O_{x,1}^{T}P_{x}\right)/\Tr(X^{2}_{1,m}) for m=xm=x:

We have thus found simple relations between the diagonal entries of M1\overline{M}_{1} and the matrix elements (2md2\leq m\leq d)

which can easily be obtained via the definitions of Om,1O_{m,1} and O1,mO_{1,m} together with (LABEL:explicit). Hence, since \Tr(X1,m2)=\Tr(Y1,m2)=2\Tr(X^{2}_{1,m})=\Tr(Y^{2}_{1,m})=2, we find that the diagonal entries of M1\overline{M}_{1} are

If we multiply all these entries (m=2,,dm=2,\mathellipsis,d) we finally obtain

Using the recursion formula (LABEL:recursion) and induction one finds the final result

The corresponding normalizing constant NdN_{d} is given by the integral

Haar measure on the special unitary group 𝒮​𝒰​(d)𝒮𝒰𝑑\mathcal{SU}(d)

In terms of the d21d^{2}-1 parameters λm,n\lambda_{m,n} introduced in Theorem 22 the (normalized) Haar measure on the special unitary group SU(d)\mathcal{SU}(d) reads

such that SU(d)dUd=1\intop\nolimits_{\mathcal{SU}(d)}dU_{d}=1.

The proof is similar to the previous one — only minor modifications have to be made. Given the special unitary group SU(d)\mathcal{SU}(d) in parameterized form U(α1,,αd21)U(\alpha_{1},\mathellipsis,\alpha_{d^{2}-1}), to construct the Haar measure one must determine the absolute value Jd=det(jk,l)J_{d}=\left|\det(j_{k,l})\right| of the determinant of the Jacobian matrix

In this terminology, the (normalized) Haar measure reads

Our aim is to derive a general expression of dUddU_{d} for arbitrary dd in terms of the parameterization introduced in Section 3, i.e.

As in the previous proof we make use of the left invariance of the Haar measure on SU(d)\mathcal{SU}(d), i.e. Jd=det(jk,l)=det(jk,l)J_{d}=|\det(j_{k,l})|=|\det(j^{\prime}_{k,l})| where

If for the composite parameterization (Theorem 2) U1U_{1} is chosen to be iUC-iU^{\dagger}_{C} one obtains analogously to (LABEL:diagglobal) – (LABEL:drotU) that

These operators are now to be expressed in an orthogonal basis {bk}\{b_{k}\} of traceless operators. Since the first d2dd^{2}-d operators that were used in (LABEL:basisorder) already are mutually orthogonal and traceless, only the dd diagonal operators kk\left|k\right\rangle\left\langle k\right| with 1kd1\leq k\leq d have to be replaced by d1d-1 diagonal operators with vanishing trace. A convenient choice are the d1d-1 mutually orthogonal operatorsNote that these are the generalized diagonal Gell-Mann matrices in reversed order.

with 1kd11\leq k\leq d-1 obeying \Tr(LkLk)=\Tr(Lk2)=2\Tr(L_{k}^{\dagger}L_{k})=\Tr(L_{k}^{2})=2. For the order

the (d21)×(d21)(d^{2}-1)\times(d^{2}-1) Jacobian matrix is again lower block-triangular (jk,l) =(j^{\prime}_{k,l})\ =. Here, the block DD is not diagonal but lower triangular since

Since the diagonal entries of DD are merely real numbers we find again that

where cdc_{d} is a constant that can be dropped since the Haar measure will be normalized at the end anyhow. As the composite parameterization of the unitary group and the special unitary group share the same structure the discussion between (LABEL:recursion) – (LABEL:Moverline) essentially remains the same, meaning that (ignoring irrelevant constants) one finds again the recursion formula

where M1=M1{λm,n=0(m,n){(1,2),,(1,d)}}\overline{M}_{1}=\left.M_{1}\right|_{\{\lambda_{m,n}=0|(m,n)\notin\{(1,2),\mathellipsis,(1,d)\}\}} and λm,nλm+1,n+1\lambda_{m,n}\rightarrow\lambda_{m+1,n+1} in Jd1J_{d-1}. Here, the relevant operators of (LABEL:derivs2) have the form

containing the orthogonal matrices Ox,1O_{x,1} and O1,yO_{1,y} that also appeared in the previous proof. The 2(d1)×2(d1)2(d-1)\times 2(d-1) elements of M1\overline{M}_{1} are determined by (compare with the order (LABEL:basisorderSU))

with k{1,,2(d1)}k\in\{1,\mathellipsis,2(d-1)\}. Now consider the coefficients of (LABEL:Yexp2) and (LABEL:Zexp2) for the different operator basis elements occurring in (LABEL:m1blocko): First, notice that M1\overline{M}_{1} is again lower triangular as in the previous proof since (LABEL:Yexp2) and (LABEL:Yexp) are identical and \bullet \Tr(Ox,1Y1,mOx,1TZ1,x)=0\Tr\left(O_{x,1}Y_{1,m}O_{x,1}^{T}Z_{1,x}\right)=0 for arbitrary mm. Note: O1,yY1,mO1,yTO_{1,y}Y_{1,m}O_{1,y}^{T} is antisymmetric, while Z1,xZ_{1,x} is symmetric. \bullet \Tr(Ox,1X1,mOx,1TZ1,x)=0\Tr\left(O_{x,1}X_{1,m}O_{x,1}^{T}Z_{1,x}\right)=0 for m<xm<x:

Note: Ox,1=n=xdexp(iY1,nλ1,n)O_{x,1}=\prod_{n=x}^{d}\exp(iY_{1,n}\lambda_{1,n}) does not have off-diagonal elements 1Ox,1m\left\langle 1\right|O_{x,1}\left|m\right\rangle and xOx,1m\left\langle x\right|O_{x,1}\left|m\right\rangle for m<xm<x. Thus, it again suffices to compute the diagonal entries of M1\overline{M}_{1}, half of which are already known from (LABEL:diagelements1)

and the definition of Om,1O_{m,1} together with (LABEL:explicit)

Since (LABEL:diag2) differs only by the factor two from (LABEL:diagelements1) we again obtain for JdJ_{d} the result (LABEL:finalJd)

up to an irrelevant multiplicative constant cdc^{\prime}_{d}. Hence, the Haar measure on SU(d)\mathcal{SU}(d) reads

The normalizing constant NdN_{d} is given by the integral

Since there are d1d-1 parameters λk,l\lambda_{k,l} with k=lk=l and d(d1)/2d(d-1)/2 parameters λk,l\lambda_{k,l} with k>lk>l one finally obtains

Remarks on integrals over unitary groups

As previously mentioned, our results can be used to compute group integrals, i.e. integrals of the form f(U,U)dU\intop\nolimits f(U,U^{*})dU where one integrates over the entire group U(d)\mathcal{U}(d) or SU(d)\mathcal{SU}(d), respectively. At least three things are needed when one intends to explicitly compute such integrals: A parameterization of the corresponding group, exact knowledge of the parameter ranges and the normalized Haar measure. All this is provided in the present paper. Theorems 1 – 4 can straightforwardly be applied without knowledge of further technicalities (e.g. details appearing in the proofs). Whether or not a given integral can be solved analytically in this way of course depends on the integrand. However, for many physical problems the function f(U,U)f(U,U^{*}) is a polynomial in the components of UU and UU^{*}. In this case, when UU and dUdU are inserted in parameterized form according to Theorems 1 – 4, we have that the integrand is a polynomial in cosλm,n\cos\lambda_{m,n}, sinλm,n\sin\lambda_{m,n} and e±iλm,ne^{\pm i\lambda_{m,n}}. Neglecting the computational effort, such integrals can always be solved analytically (see Ref. and references therein). Besides that, our results constitute a good starting point for the integration of non-polynomial functions using numerical methods.

A detailed analysis on integrals that can be solved in this way shall be presented in a subsequent paper. We are convinced that due to the simplicity of the parameterization and the associated Haar measure, it is possible to find several general results and to gain a better understanding of integrals over U(d) / SU(d)\mathcal{U}(d)\ /\ \mathcal{SU}(d). In order not to go beyond the scope of this paper we conclude with simple examples that can be compared with existing results as a consistency check.

For the special case p=4p=4 the general solution

simplifies to n=2d2(n1)2(n+1)=2d(d+1)\prod_{n=2}^{d}{2(n-1)\over 2(n+1)}={2\over d(d+1)} as in agreement with Ref. . Note that in this way we have found a simple necessary criterion for testing if a set of matrices constitutes a unitary design. Namely, as there are no distinguished matrix elements and since 1U12t=1U1t1U1t|\left\langle 1\right|U\left|1\right\rangle|^{2t}=\left\langle 1\right|U\left|1\right\rangle^{t}\left\langle 1\right|U^{*}\left|1\right\rangle^{t} it holds: A set of unitaries {Ui}N\{U_{i}\}_{N} is a unitary tt-design only if

for all k,l{1,,d}k,l\in\{1,\mathellipsis,d\}, where wiw_{i} is the weighting of UiU_{i} (wi=1Nw_{i}={1\over N} for unweighted designs). Further criteria can be constructed analogously.

2 Example 2

where 1β1-1\leq\beta\leq 1. Using a symbolic computation software, we explicitly and analytically twirled the maximally entangled state Ψ=1di=1dii\left|\Psi\right\rangle={1\over\sqrt{d}}\sum_{i=1}^{d}\left|i\right\rangle\otimes\left|i\right\rangle of dimensions d=2,3,4,5d=2,3,4,5 utilizing Theorem 1 and 3

In all cases, this yielded a Werner state with β=1\beta=1, demonstrating once more the operationality and validity of our results. Note that our results also enable analytical twirling of multipartite qudit states.

3 Example 3

To solve the integral dd1(1\Tr(ρB2))dU\intop\nolimits{d\over d-1}(1-\Tr(\rho_{B}^{2}))dU we can associate each uiu_{i} with a matrix element of a d2×d2d^{2}\times d^{2} unitary matrix. In this way, the average C2\langle C^{2}\rangle reduces to a sum of integrals over the polynomials I4=kUl4dUI_{4}=\intop\nolimits|\left\langle k\right|U\left|l\right\rangle|^{4}dU and I2,2=kUl2mUn2dUI_{2,2}=\intop\nolimits|\left\langle k\right|U\left|l\right\rangle|^{2}|\left\langle m\right|U\left|n\right\rangle|^{2}dU where kUl\left\langle k\right|U\left|l\right\rangle and mUn\left\langle m\right|U\left|n\right\rangle denote distinct matrix elements. Now, taking account of (LABEL:reddensity), it is a simple combinatorial problem to show that in \Tr(ρB2)dU\intop\nolimits\Tr(\rho_{B}^{2})dU the term I4I_{4} appears d2d^{2} times and I2,2I_{2,2} appears 2(d1)d22(d-1)d^{2} times. Hence,

From (LABEL:collinsrel) we already know that I4=2d2(d2+1)I_{4}={2\over d^{2}(d^{2}+1)} for integrals over U(d2)\mathcal{U}(d^{2}). It remains to determine I2,2I_{2,2} for two arbitrary but distinct matrix elements kUl\left\langle k\right|U\left|l\right\rangle and mUn\left\langle m\right|U\left|n\right\rangle. By computing

analogously to (LABEL:bintegral) – (LABEL:eintegral) one finds with d2UC12=sin2(λ1,d2)|\left\langle d^{2}\right|U_{C}\left|1\right\rangle|^{2}=\sin^{2}(\lambda_{1,d^{2}}) that I2,2=1d2(d2+1)=12I4I_{2,2}={1\over d^{2}(d^{2}+1)}={1\over 2}I_{4}. Consequently, the average entanglement of a bipartite qudit system is

Summary

In this paper we adopted the concept of the composite parameterization of the unitary group U(d)\mathcal{U}(d) to the special unitary group SU(d)\mathcal{SU}(d). We showed that both parameterizations can be used equivalently to describe orthonormal vectors and subspaces with the minimal number of parameters. The introduced parameterizations are completely factorized and therefore beneficial for numerical optimizations. We also determined the infinitesimal volume element in terms of the introduced parameters. We derived a general formula of the normalized Haar measure for both the unitary U(d)\mathcal{U}(d) and the special unitary group SU(d)\mathcal{SU}(d) of arbitrary dimension. The found expressions give theoretical insights into the differential structure of U(d)\mathcal{U}(d) and SU(d)\mathcal{SU}(d). Moreover, the Haar measure plays an important role in all kinds of unbiased randomizations. It was stressed that our results also constitute a framework for computing high-order group integrals. By means of our approach, we analytically solved several exemplary integrals and found that the solutions are in agreement with the literature. As integrals over unitary groups appear in various fields from particle physics to quantum optics to quantum information, it is to be expected that our results will find several interesting applications. Acknowledgments: The authors want to thank Jan Bouda, Artem Kaznatcheev, Patrick Ludl, David Rottensteiner and the Anonymous Referee for helpful remarks and their valuable comments on the manuscript. Christoph Spengler and Marcus Huber acknowledge financial support from the Austrian Science Fund (FWF) - Project P21947N16.

Appendix A Some explicit expressions for 𝒰​(d)𝒰𝑑\mathcal{U}(d)

Appendix B Some explicit expressions for 𝒮​𝒰​(d)𝒮𝒰𝑑\mathcal{SU}(d)

Appendix C Differential matrix representation for 𝒰​(d)𝒰𝑑\mathcal{U}(d)

Adopting the matrix representation [λm,n][\lambda_{m,n}] introduced in Section 3.1 to differentials, the normalized Haar measure may be written as

This notation is useful for the construction of a normalized Haar measure for problems which are independent of certain parameters λk,l\lambda_{k,l} (see discussion in Section 3.1 and Ref. , as well as Example 1). Since in such cases the dependence on λk,l\lambda_{k,l} and dλk,ld\lambda_{k,l} can be removed from the Haar measure, one can replace the corresponding entry Δk,l\Delta_{k,l} by a constant. If one sets Δk,l=1\Delta_{k,l}=1 then (LABEL:harald) preserves the normalization of the reduced Haar measure. Moreover, this notation could lead to a better understanding of the differential geometry of U(d)\mathcal{U}(d).

Appendix D Differential matrix representation for 𝒮​𝒰​(d)𝒮𝒰𝑑\mathcal{SU}(d)

Analogously, the normalized Haar measure on SU(d)\mathcal{SU}(d) may be written as

References