On the constrained classical capacity of infinite-dimensional covariant ...

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Sep 29, 2014 - arXiv:1409.8085v1 [quant-ph] 29 Sep 2014. On the constrained classical capacity of infinite-dimensional covariant channels. A. S. Holevo.
arXiv:1409.8085v1 [quant-ph] 29 Sep 2014

On the constrained classical capacity of infinite-dimensional covariant channels A. S. Holevo Steklov Mathematical Institute, Moscow Abstract The additivity of the minimal output entropy and that of the χcapacity are known to be equivalent for finite-dimensional irreducibly covariant channels. In this paper we formulate a list of conditions allowing to establish similar equivalence for infinite-dimensional irreducibly channels with constrained input. This is then applied to Bosonic Gaussian channels with quadratic input constraint to extend the classical capacity results of the recent paper [2] to the case where the complex structures associated with the channel and with the constraint operator need not commute. In particular, this implies a multimode generalization of the ”threshold condition”, obtained for single mode in [9]) and the proof of the fact that under this condition the classical ”Gaussian capacity” resulting from optimization over Gaussian inputs is equal to the full classical capacity.

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Introduction: finite dimensions

For the background of this section we refer to [5], [4]. Let Φ be a quantum channel in d-dimensional Hilbert space H. A quantum analog of the Shannon capacity is the χ-capacity ( " #! ) X X Cχ (Φ) = max S Φ π(x)ρ(x) − π(x)S(Φ[ρ(x)]) , (1) π

x

x

where S(ρ) = −Trρ log ρ is the von Neumann entropy, and the maximum is over state ensembles i.e. finite probability distributions π ascribing probabilities π(x) to density operators ρ(x). The classical capacity of the quantum channel Φ, defined as the maximal transmission rate per use of the channel, with coding and decoding chosen for increasing number n of independent uses of the channel Φ⊗n = |Φ ⊗ ·{z · · ⊗ Φ} n

1

such that the error probability goes to zero as n → ∞, is equal to C(Φ) = limn→∞ (1/n)Cχ (Φ⊗n ). In the case where the χ-capacity is additive, Cχ (Φ⊗n ) = nCχ (Φ),

(2)

one has C(Φ) = Cχ (Φ). An obvious upper estimate for Cχ (Φ) is ˇ Cχ (Φ) ≤ max S (Φ [ρ]) − S(Φ), ρ

(3)

where the minimal output entropy of the quantum channel Φ is defined as ˇ S(Φ) = min S(Φ(ρ)). ρ

For some channels (3) may become equality, allowing to reduce the additivity of Cχ to the additivity of the minimal output entropy  (4) Sˇ Φ⊗n = nSˇ (Φ) .

This is the case for irreducibly covariant channels. Channel Φ is covariant if there is a continuous (projective) unitary representation g → Vg of a symmetry group G in H such that   Φ Vg ρVg∗ = Ug Φ [ρ] Ug∗ , (5)

where Ug are unitary operators, and irreducibly covariant if the representation g → Vg is irreducible. Assuming compactness of G, one may show, see e.g. [3], that for irreducibly covariant channel max S (Φ [ρ]) = S(Φ [I/d]),

(6)

ˇ Cχ (Φ) = max S (Φ [ρ]) − S(Φ) = S (Φ[I/d]) − Sˇ (Φ) ,

(7)

ρ

and

ρ

making (3) the equality. The optimal (generalized) ensemble for Cχ (Φ) is  0 π (dg), Vg ρ0 Vg∗ where π 0 is the invariant probability measure on G and ρ0 is a minimizer for S(Φ(ρ)). Assume moreover that additivity of the minimal output entropy (4) holds, then   ˇ n max S (Φ [ρ]) − S(Φ) = nCχ (Φ) ≤ Cχ (Φ⊗n ) ρ i h   ≤ max S Φ⊗n ρ(n) − Sˇ Φ⊗n ρ(n)   ˇ = n max S (Φ [ρ]) − S(Φ) , ρ

2

where the first equality follows from (7), the first inequality – from the definition of Cχ , the second inequality – from (3) applied to Φ⊗n , the second equality – from the equality i h  (8) max S Φ⊗n ρ(n) = n max S (Φ [ρ]) ρ

ρ(n)

⊗n valid  for all channels, and from the condition (4). Thus Cχ (Φ ) = nCχ (Φ) = ˇ n S (Φ [I/d]) − S(Φ) and

C(Φ) = Cχ (Φ) = S (Φ[I/d]) − Sˇ (Φ) .

The equality (8) is a simple corollary of (sub)additivity of the von Neumann entropy with respect to tensor products (cf. lemma 2 below). For irreducibly covariant channels it is just a consequence of (6).

2

Infinite-dimensional case

Let H be a separable complex Hilbert space, L(H) the algebra of all bounded operators in H, T(H) be the space of trace-class operators, and S(H) be the convex set of density operators in H. Quantum channel is a linear completely positive trace-preserving map Φ in T(H). Generalized ensemble is a pair {π(dx), ρ(x)} where π is a probability measure on a standard Borel space X and x → ρ(x) is a measurable map from X to S(H). The average state of the generalized ensemble π is defined as the barycenter of the probability measure Z ρ¯π = ρ(x) π(dx). X

The conventional ensembles correspond to finitely supported measures. In the infinite-dimensional case one usually has to consider the input constraints to avoid infinite values of the capacities. Let H be a positive selfadjoint operator in H, which usually represents energy of the input. We consider the input states with constrained energy: TrρH ≤ E, where E is a fixed positive constant. Since the operator H can R ∞be unbounded, care should be taken in defining the trace; we put TrρH = 0 λ dmρ (λ), where mρ (λ) = TrρE(λ), and E(λ) is the spectral function of the selfadjoint operator H. Then the constrained χ− capacity is given by the following generalization of the expression (1): Cχ (Φ, H, E) =

sup

χ(π),

(9)

π:Trρ¯π H≤E

where χ(π) = S(Φ[¯ ρπ ]) −

Z

S(Φ[ρ(x)])π(dx)

(10)

X

To ensure that this expression is defined correctly, certain additional conditions upon the channel Φ and the constraint operator H should be imposed (see [6], [5], Sec. 11.5), which are always fulfilled in the Gaussian case we consider below. 3

Denote H (n) = H ⊗ I · · · ⊗ I + · · · + I ⊗ · · · ⊗ I ⊗ H, then the constrained classical capacity is given by the expression C(Φ, H, E) = lim

n→∞

1 Cχ (Φ⊗n , H (n) , nE). n

(11)

Consider the following constrained set of states EE = {ρ : TrρH ≤ E} , We have an obvious estimate Cχ (Φ, H, E) ≤ sup S (Φ [ρ]) − inf S(Φ [ρ]). ρ

ρ∈EE

(12)

Proposition 1 Consider the following assumptions: 1. supρ∈EE S (Φ [ρ]) is attained on a state ρ0E ; 2. inf ρ S(Φ(ρ)) is attained on a state ρ0 ; 3. Φ is a covariant channel in the sense (5), and there exists a Borel proba0 bility measure πE on G such that Z 0 (dg). Vg ρ0 Vg∗ πE ρ0E = G

4. the minimal output entropy of the channel Φ is additive in the sense (4), Then under the conditions 1-3   Cχ (Φ, H, E) = sup S (Φ [ρ]) − inf S(Φ [ρ]) = S Φ ρ0E − S(Φ [ρ0 ]), ρ∈EE

ρ

(13)

the optimal ensemble for Cχ consisting of the states Vg ρ0 Vg∗ with the probability 0 distribution πE (dg). If, in addition the condition 4 holds, then Cχ (Φ⊗n , H (n) , nE) = nCχ (Φ, H, E) and

  C(Φ, H, E) = Cχ (Φ, H, E) = S Φ ρ0E − S(Φ [ρ0 ]).

the first statement it is sufficient to substitute the ensemble  0Proof. To prove πE (dg), Vg ρ0 Vg∗ into the expression (10). For covariant channels the integral term is equal to S(Φ[ρ0 ]), thus we obtain that the right-hand side of (12) is also a lower estimate for Cχ (Φ, H, E). To prove the second statement we use lemma 11.20 of [5] Lemma 2 sup

S(Φ⊗n [ρ(n) ]) = n

sup ρ:Tr ρH≤E

ρ(n) :Tr ρ(n) H (n) ≤nE

4

S(Φ[ρ]).

Proof. We give the proof here for completeness. We first show that sup ρ(n) :Tr ρ(n) H (n) ≤nE

S(Φ⊗n [ρ(n) ]) ≤ n

sup

S(Φ[ρ]).

(14)

ρ:Tr ρH≤E

Indeed, denoting byP ρj the partial state of ρ(n) in the j−th tensor factor of n 1 and letting ρ¯ = n j=1 ρj , we have

⊗n HA

S(Φ⊗n [ρ(n) ]) ≤

n X j=1

S(Φ[ρj ]) ≤ nS(Φ[¯ ρ]),

where in the first inequality we used subadditivity of the quantum entropy, while in the second – its concavity. Moreover, Tr ρ¯H = n1 Tr ρ(n) H (n) ≤ E, hence (14) follows. In the opposite direction, take ρ(n) = ρ0⊗n and use additivity of entropy E for product states. Then we have similarly to the finite-dimensional case     n S Φ ρ0E − S(Φ [ρ0 ]) = nCχ (Φ, H, E) ≤ Cχ (Φ⊗n , H (n) , nE) i h i  h  ≤ max S Φ⊗n ρ(n) − min S Φ⊗n ρ(n) ρ(n) ρ(n) :Trρ(n) H (n) ≤nE   = n max S (Φ [ρ]) − min S (Φ [ρ]) ρ ρ:TrρH≤E    0  = n S Φ ρE − S(Φ [ρ0 ]) ,

where the first equality follows from (13), the first inequality from the definition of Cχ , the second inequality from (12) applied to Φ⊗n , the second equality from lemma 2 and the condition 4. Summarizing,     Cχ (Φ⊗n , H (n) , nE) = nCχ (Φ, H, E) = n S Φ ρ0E − S(Φ [ρ0 ]) , hence the second statement follows.

3

The case of Bosonic Gaussian channels

In the papers [2], [8], [1] a solution of the quantum Gaussian optimizers conjecture was given for gauge-covariant or contravariant Bosonic Gaussian channels. In particular, the constrained classical capacity was computed under the assumption that the constraint operator is gauge-invariant with respect to the same complex structure as the channel. Basing on observations of previous section and using the fact that a general Bosonic Gaussian channel is irreducibly covariant under the group of displacements (the Weyl group), we can relax this restriction. In this section we systematically use the notations and some results from the book [5] where further references are given. Let H be the space of an irreducible

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representation {z → V (z); z ∈ Z} of Canonical Commutation Relations, where Z is a finite-dimensional symplectic space (R2s , ∆), where   0 1  −1 0      0 1   .. ∆= ≡ diag . (15)  . −1 0    0 1  −1 0

A centered Gaussian state ρ on L(H) is determined by its covariance matrix α which is a real symmetric s × s-matrix satisfying i α ≥ ± ∆. 2 The entropy of ρ is equal to S(ρ) =

  I 1 Sp g abs(∆−1 α) − , 2 2

(16)

where Sp is used to denote trace of a matrix as distinct from the trace Tr of operators in the underlying Hilbert space [7]. The operator A = ∆−1 α has the eigenvalues ±iαj . Hence its matrix is diagonalizable (in the complex domain). For any diagonalizable matrix M = U diag(mj )U −1 , we denote abs(M ) = U diag(|mj |)U −1 . P Let Φ be a centered Bosonic Gaussian channel, while H = sj,k=1 ǫjk Rj Rk , where ǫ = [ǫjk ] is a symmetric positive definite matrix, is a quadratic energy operator. Notice that it always has an associated complex structure JH satisfying [ǫ∆, JH ] = 0. This is the orthogonal operator from the polar decomposition of the operator −ǫ∆, see sec. 12.2.3 [5] for detail. Any centered Gaussian channel Φ is characterized by the matrix parameters (K, µ), satisfying  i µ ≥ ± ∆ − K t ∆K . 2 Its action on the centered Gaussian state with a covariance matrix α is described by the equation α → K t αK + µ. The condition 1 follows from the argument of sec. 12.5 [5], moreover ρ0E is a centered Gaussian state with a covariance matrix     I α0E = arg max Sp g abs(∆−1 K t αK + µ ) − . α: Spαǫ≤E 2

A Bosonic Gaussian channel is irreducibly covariant with respect to the representation {z → V (z)} in the sense Φ[V (z)ρV (z)∗ ] = V (K s z)Φ[ρ]V (K s z)∗ , 6

z ∈ Z,

where K s = ∆−1 K t ∆, see e.g. sec. 12.4.2 in [5]. Assuming that Φ is gauge-covariant or contravariant with respect to a complex structure J in Z, the conditions 2 and 4 follow from the results of the paper [2] concerning the minimal output entropy. Moreover, ρ0 can be taken as the vacuum state related to the complex structure J. It is shown in sec. 12.3.2 of [5] that the vacuum state related to the complex structure J is pure centered Gaussian state with the covariance matrix 12 ∆J. Then the condition 3 is fulfilled provided α0 ≥ In this case ρ0E

=

Z

1 ∆J. 2

(17)

0 V (z)ρ0 V (z)∗ πE (dz),

Z

0 where πE (dz) is centered Gaussian distribution on Z with the covariance matrix α0 − 12 ∆J. One can check this by comparing the quantum characteristic functions of both sides. The optimizing ensemble consists thus of the J−coherent states 0 V (z)ρ0 V (z)∗ with the probability distribution πE (dz). The constrained classical capacity of the channel Φ is equal to

C(Φ; H, E)

= = −

Cχ (Φ; H, E)    t  1 I −1 K αK + µ ) − max Sp g abs(∆ 2 α: Spαǫ≤E 2     1 I 1 . Spg abs(∆−1 K t ∆JK + µ ) − 2 2 2

(18)

Gauge-covariance of the channel Φ with respect to a complex structure J is equivalent to the conditions [K, J] = 0,

[∆−1 µ, J] = 0.

(19)

Given a symmetric µ ≥ 0, one can always find a complex structure J, satisfying [∆−1 µ, J] = 0; it is just the orthogonal operator from the polar decomposition of the operator ∆−1 µ in the Euclidean space (Z, µ). Then the first equation becomes a restriction for admissible K. For gauge-contravariant channels it is replaced by {K, J} = 0. In the paper [9] the Gaussian capacities obtained by optimization over Gaussian inputs where computed for a generic non-degenerated single-mode channel when the input signal energy is above certain threshold. Our observations imply in particular that these Gaussian capacities are in fact equal to the full classical capacities, and the inequality (17) appears as the multimode generalization of the threshold condition in [9]. Let us confirm this by calculation of the example of squeezed noise channel. The channel is described by the parameters     1 1 0 µ1 0 ; µ1 µ2 ≥ k 2 − 1 . K=k , µ= 0 1 0 µ2 4 7

This describes attenuation (0 < k < 1), amplification (1 < k) and additive noise (k = 1) channels, with the background squeezed noise. Take the Hamiltonian  0 −1 2 2 H = q + p with the corresponding complex structure JH = . 1 0 The complex structure of the channel satisfying (19) is given by p   µ 0 − /µ 2 1 J= p , µ1 /µ2 0 which does not commute with JH unless µ1 = µ2 . The covariance matrix of the squeezed vacuum is  p  1 1 µ1 /µ2 p 0 . ∆J = 0 2 2 µ2 /µ1

The eigenvalues of the matrix   " 0   −1 1 t p ∆ K ∆JK + µ = k2 2 − µ1 + 2 µ1 /µ2

µ2 +

k2 2

# p µ2 /µ1

0

   √ √ are equal to ±i µ1 µ2 + k 2 /2 , hence the second term in (18) is g µ1 µ2 + k 2 − 1 /2 . To compute the first term, we can restrict to diagonal covariance matrices   1 α1 0 , α1 + α2 ≤ E, α1 α2 ≥ . α= 0 α2 4 The matrix   ∆−1 K t αK + µ =



2 0  µ2 + k α2 2 0 − µ1 + k α1



p has the eigenvalues ±i (µ1 + k 2 α1 ) (µ2 + k 2 α2 ), so that the maximized expresp (µ1 + k 2 α1 ) (µ2 + k 2 α2 ) − 1/2 . Since g(x) is increasing, we have to sion is g   maximize µ1 + k 2 α1 µ2 + k 2 α2 under the constraints α1 +α2 ≤ E, α1 α2 ≥ 1 4 . The first constraint gives the values α01 = E/2 + (µ2 − µ1 ) /2k 2 ,

α02 = E/2 − (µ2 − µ1 ) /2k 2

corresponding to the maximal value of the first term    1 2 g k E + (µ1 + µ2 ) − 1 . 2

The second constraint will be automatically fulfilled provided we impose the p p condition (17) which amounts to α01 ≥ 12 µ1 /µ2 , α02 ≥ 21 µ2 /µ1 , or, introducp ing the squeezing parameter η = µ2 /µ1    1 2√ −1 −1 E≥ 1 + 2 µ1 µ2 . η+η + η−η 2 k 8

Under this condition

=g



C(Φ; H, E) = Cχ (Φ; H, E)     1 2 √ k E + (µ1 + µ2 ) − 1 − g µ1 µ2 + k 2 − 1 /2 . 2

These values up to notations coincide with those computed in [9], Cor. 2.

References [1] V. Giovannetti, R. Garcia-Patron, N. J. Cerf, A. S. Holevo, Ultimate classical communication rates of quantum optical channels, Nature Photonics, 2014, 216, 6 pp. [2] V.Giovannetti, A.S.Holevo, R.Garcia-Patron, A solution of the Gaussian optimizer conjecture, arXiv:1312.2251; accepted for publication in Commun. Math. Phys. [3] A. S. Holevo, Additivity conjecture and covariant channels. Int. J. Quant. Inform., 3, (2005), 41-48. [4] A. S. Holevo and V. Giovannetti, Quantum channels and their entropic characteristics, Rep. Prog. Phys. 75 (2012), 046001. [5] A. S. Holevo, Quantum systems, channels, information. A mathematical introduction, De Gruyter, Berlin–Boston, 2012. [6] A. S. Holevo and M. E. Shirokov, Continuous ensembles and the χ-capacity of infinite-dimensional channels, Probab. Theory and Appl. 50 (2005), 8698. [7] A. S. Holevo, M. Sohma, O. Hirota, Error exponents for quantum channels with constrained inputs, Rep. Math. Phys., 46 (2000), 343-358. [8] A. Mari, V. Giovannetti, and A. S. Holevo, Quantum state majorization at the output of bosonic Gaussian channels, Nature Communications, 5 (2014), 3826, 5 pp. [9] J. Sch¨ afer, E. Karpov, R. Garc´ıa-Patr´ on, O. V. Pilyavets, and N. J. Cerf, Equivalence Relations for the Classical Capacity of Single-Mode Gaussian Quantum Channels, Phys. Rev. Lett. 111, (2013) 030503.

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