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ENTANGLEMENT OF GAUSSIAN STATES Gerardo Adesso

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1.3. Theory of bipartite entanglement 21<br />

separability (see Sec. 1.3.2.1), i.e. how much the partial transposition of<br />

ϱ fails to be positive. The negativity N (ϱ) [283, 74] is defined as<br />

<br />

ϱ<br />

N (ϱ) =<br />

Ti<br />

<br />

− 1 1 ,<br />

2<br />

(1.40)<br />

where<br />

Ô1 <br />

= Tr Ô † Ô (1.41)<br />

is the trace norm of the operator Ô. The negativity is a computable<br />

measure of entanglement, being<br />

<br />

N (ϱ) = max 0, − <br />

<br />

, (1.42)<br />

where the λ −<br />

k ’s are the negative eigenvalues of the partial transpose.<br />

In continuous variable systems, the negativity is still a proper entanglement<br />

measure [253], even though a related measure is more often used,<br />

the logarithmic negativity EN (ϱ) [253, 74, 186],<br />

k<br />

λ −<br />

k<br />

EN (ϱ) = log ϱ Ti 1 = log [1 + 2N (ϱ)] . (1.43)<br />

The logarithmic negativity is additive and, despite being non-convex, is<br />

a full entanglement monotone under LOCC [186]; it is an upper bound<br />

for the distillable entanglement [74], EN (ϱ) ≥ ED(ϱ), and it is the exact<br />

entanglement cost under operations preserving the positivity of the<br />

partial transpose [12]. The logarithmic negativity will be our measure of<br />

choice for the quantification of bipartite entanglement of Gaussian states<br />

(see Part II) and on it we will base the definition of a new entanglement<br />

measure for continuous variable systems, the contangle [GA10], which will<br />

be exploited in the analysis of distributed multipartite entanglement of<br />

Gaussian states (see Part III).<br />

• Squashed entanglement.— Another interesting entanglement measure is<br />

the squashed entanglement Esq(ϱ) [55] which is defined as<br />

<br />

1<br />

Esq(ϱAB) = inf<br />

E 2 I(ϱABE)<br />

<br />

: trE{ϱABE} = ϱAB , (1.44)<br />

where I(ϱABE) = S(ϱAE) + S(ϱBE) − S(ϱABE) − S(ϱE) is the quantum<br />

conditional mutual information, which is often also denoted as I(A; B|E).<br />

The motivation behind Esq comes from related quantities in classical cryptography<br />

that determine correlations between two communicating parties<br />

and an eavesdropper. The squashed entanglement is a convex entanglement<br />

monotone that is a lower bound to EF (ϱ) and an upper bound to<br />

ED(ϱ), and is hence automatically equal to EV (ϱ) on pure states. It<br />

is also additive on tensor products, and continuous [5]. Cherry on the<br />

cake, it is also monogamous i.e. it satisfies Eq. (1.34) for arbitrary systems<br />

[133]. The severe drawback which affects this otherwise ideal measure<br />

of entanglement is its computability: in principle the minimization<br />

in Eq. (1.44) must be carried out over all possible extensions, including<br />

infinite-dimensional ones, which is highly nontrivial. Maybe the task can<br />

be simplified, in the case of Gaussian states, by restricting to Gaussian

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