ENTANGLEMENT OF GAUSSIAN STATES Gerardo Adesso
ENTANGLEMENT OF GAUSSIAN STATES Gerardo Adesso
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