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Quantum Information Theory with Gaussian Systems

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5 <strong>Gaussian</strong> private quantum channels<br />

Repeating our task in this notation, we want to ensure that any two discretely<br />

randomized tensor products T Σ(α) and T Σ(β) of N coherent input states <strong>with</strong> f<br />

modes each are nearly indistinguishable, T Σ(α) − T Σ(β) 1 < ǫ, if they obey the<br />

energy constraint |α| 2 , |β| 2 ≤ 2NfEmax, i.e. if each single mode contributes at most<br />

energy Emax.<br />

5.2 Security estimation<br />

Since the relevant distinguishability T Σ(α) − T Σ(β) 1 is not easily accessible, we<br />

use the triangle inequality and derive a bound in terms of the trace norm distances<br />

T Σ(α) −T [](α) 1 and T [](α) −T(α) 1 , which determine the quality of the involved<br />

approximations and can thus be bounded, and T(α)−T(β) 1, which can be bounded<br />

by the relative entropy distance. These quantities are introduced by applying the<br />

triangle inequality for the trace norm:<br />

<br />

TΣ(α) − T Σ(β) 1 ≤ T Σ(α) − T [](α) 1 + T Σ(β) − T [ ](β) 1 + T [](α) − T [ ](β) 1<br />

≤ T Σ(α) − T [](α) 1 + T Σ(β) − T [ ](β) 1 + T [](α) − T(α) 1<br />

+ T [](β) − T(β) 1 + T(α) − T(β) 1 .<br />

(5.5)<br />

We proceed by deriving bounds for each term. The trace norm distance of two<br />

density operators ρ, ρ ′ can be estimated by the relative entropy distance S(ρ ρ ′ ) =<br />

tr[ρ (log ρ − log ρ ′ )] between the operators [97, Thm. 5.5]. This is used to establish<br />

2 <br />

T(α) − T(β)1 ≤ 2 S T(α) T(β) . (5.6)<br />

The exponential form (2.34a) for the density operator of a <strong>Gaussian</strong> state allows to<br />

express the relative entropy in terms of the symplectic eigenvalues γn of its covariance<br />

matrix:<br />

106<br />

S T(α) T(β) = tr T(α) log T(α) − log T(β) <br />

= tr T(0) − T(α − β) log T(0) <br />

= 1<br />

2<br />

= 1<br />

2<br />

= 1<br />

2<br />

2Nf <br />

i,j=1<br />

2Nf <br />

i,j=1<br />

2Nf <br />

i,j=1<br />

since T(α) = W α T(0)W ∗ α<br />

M ′ i,j tr T(0) − T(α − β) R ′ i R ′ <br />

j by (2.35)<br />

M ′ i,j<br />

M ′ i,j<br />

<br />

tr T(0)R ′ i R ′ ′<br />

j − tr T(α − β)R i R ′ <br />

j<br />

<br />

<br />

tr T(0)R ′ i R ′ <br />

j −<br />

tr T(0) R ′ i − (α′ − β ′ ′<br />

)i R j − (α ′ − β ′ <br />

)j

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