In the case of systems composed of
m>2
The definitions of fully separable and fully entangled multipartite states naturally generalizes that of separable and entangled states in the bipartite case, as follows.[1]
The state
\varrho | |
A1\ldotsAm |
m
A1,\ldots,Am
l{H} | |
A1\ldotsAm |
=l{H} | |
A1 |
⊗ \ldots ⊗
l{H} | |
Am |
\varrho | |
A1\ldotsAm |
=
k | |
\sum | |
i=1 |
pi
i | |
\varrho | |
A1 |
⊗ \ldots ⊗
i. | |
\varrho | |
Am |
\varrho | |
A1\ldotsAm |
As in the bipartite case, the set of
m
m
\sumi\Omega
n | |
i |
\varrho | |
A1\ldotsAm |
\to
| |||||||||||||||||||
\operatorname{Tr |
[\sumi \Omega
n\varrho | |
A1\ldotsAm |
n) | |
(\Omega | |
i |
\dagger]}.
As mentioned above, though, in the multipartite setting we also have different notions of partial separability.
The state
\varrho | |
A1\ldotsAm |
m
A1,\ldots,Am
\{I1,\ldots,Ik\}
Ii
I=\{1,\ldots,m\},
k | |
\cup | |
j=1 |
Ij=I
\varrho | |
A1\ldotsAm |
=
N | |
\sum | |
i=1 |
pi
i | |
\varrho | |
1 |
⊗ \ldots ⊗
i. | |
\varrho | |
k |
The state
\varrho | |
A1\ldotsAm |
1
(m-1)
\{I1=\{k\},I2=\{1,\ldots,k-1,k+1,\ldots,m\}\},1\leqk\leqm
An
m
s
\{I1,\ldots,Ik\}
Ik
N\leqs
An equivalent definition to Full m-partite separability is given as follows: The pure state
|\Psi | |
A1\ldotsAm |
\rangle
m
A1,\ldots,Am
m
|\Psi | |
A1\ldotsAm |
\rangle=
|\psi | |
A1 |
\rangle ⊗ \ldots ⊗
|\psi | |
Am |
\rangle.
|\Psi | |
A1\ldotsAm |
\rangle=
| |||||||||||
\sum | |||||||||||
i=1 |
m
In the multipartite case there is no simple necessary and sufficient condition for separability like the one given by the PPT criterion for the
2 ⊗ 2
2 ⊗ 3
The characterization of separability in terms of positive but not completely positive maps can be naturally generalized from the bipartite case, as follows.[1]
Any positive but not completely positive (PnCP) map
Λ | |
A2\ldotsAm |
:l{B}(l{H} | |
A2\ldotsAm |
)\to
l{B}(l{H} | |
A1 |
)
(I | |
A1 |
⊗
Λ | |
A2\ldotsAm |
)[\varrho | |
A1\ldotsAm |
]\geq0,
I | |
A1 |
l{H} | |
A1 |
\varrho | |
A1\ldotsAm |
Λ | |
A2\ldotsAm |
:l{B}(l{H} | |
A2\ldotsAm |
)\to
l{B}(l{H} | |
A1 |
)
The definition of entanglement witnesses and the Choi–Jamiołkowski isomorphism that links PnCP maps to entanglement witnesses in the bipartite case can also be generalized to the multipartite setting.We therefore get a separability condition from entanglement witnesses for multipartite states: the state
\varrho | |
A1\ldotsAm |
\operatorname{Tr}(W\varrho | |
A1\ldotsAm |
)\geq0
W
\varrho | |
A1\ldotsAm |
W
\operatorname{Tr}(W\varrho | |
A1\ldotsAm |
)<0
The above description provides a full characterization of
m
m
The "range criterion" can also be immediately generalized from the bipartite to the multipartite case. In the latter case the range of
\varrho | |
A1\ldotsAm |
\{|\phi | |
A1 |
\rangle,\ldots,
|\phi | |
Am |
\rangle\}
| |||||||||||||||
\varrho | |||||||||||||||
A1\ldotsAm |
\{A | |
k1 |
\ldots
A | |
kl |
\}\subset\{A1\ldotsAm\}
k1,\ldots,kl
\varrho | |
A1\ldotsAm |
| |||||||||||||||
\varrho | |||||||||||||||
A1\ldotsAm |
The "realignment criteria" from the bipartite case are generalized to permutational criteria in the multipartite setting: if the state
\varrho | |
A1\ldotsAm |
[R\pi(\varrho
A1\ldotsAm |
)] | |
i1j1,i2j2,\ldots,injn |
\equiv\varrho | |
\pi(i1j1,i2j2,\ldots,injn) |
\pi
||R\pi(\varrho
A1\ldotsAm |
)]||\operatorname{Tr}\leq1
Finally, the contraction criterion generalizes immediately from the bipartite to the multipartite case.[1]
Many of the axiomatic entanglement measures for bipartite states, such as relative entropy of entanglement, robustness of entanglement and squashed entanglement can be generalized to the multipartite setting.[1] The relative entropy of entanglement, for example, can be generalized to the multipartite case by taking a suitable set in place of the set of bipartite separable states. One can take the set of fully separable states, even though with this choice the measure will not distinguish between truly multipartite entanglement and several instances of bipartite entanglement, such as
EPRAB ⊗ EPRCD
k
In the case of squashed entanglement, its multipartite version can be obtained by simply replacing the mutual information of the bipartite system with its generalization for multipartite systems, i.e.
I(A1:\ldots:AN)=S(A1)+\ldots+S(AN)-S(A1\ldotsAN)
However, in the multipartite setting many more parameters are needed to describe the entanglement of the states, and therefore many new entanglement measures have been constructed, especially for pure multipartite states.
In the multipartite setting there are entanglement measures that simply are functions of sums of bipartite entanglement measures, as, for instance, the global entanglement, which is given by the sum of concurrences between one qubit and all others. For these multipartite entanglement measures the 'monotonicity under LOCC is simply inherited from the bipartite measures. But there are also entanglement measures that were constructed specifically for multipartite states, as the following:[1]
The first multipartite entanglement measure that is neither a direct generalization nor an easy combination of bipartite measures was introduced by Coffman et al. and called tangle.[1]
Definition:
\tau(A:B:C)=\tau(A:BC)-\tau(AB)-\tau(AC),
2
The tangle measure is permutationally invariant; it vanishes on all states that are separable under any cut; it is nonzero, for example, on the GHZ-state; it can be thought to be zero for states that are 3-entangled (i.e. that are not product with respect to any cut) as, for instance, the W-state. Moreover, there might be the possibility to obtain a good generalization of the tangle for multiqubit systems by means of hyperdeterminant.[1]
This was one of the first entanglement measures constructed specifically for multipartite states.[1]
Definition:
The minimum of
logr
r
This measure is zero if and only if the state is fully product; therefore, it cannot distinguish between truly multipartite entanglement and bipartite entanglement, but it may nevertheless be useful in many contexts.[1]
This is an interesting class of multipartite entanglement measures obtained in the context of classification of states. Namely, one considers any homogeneous function of the state: if it is invariant under SLOCC (stochastic LOCC) operations with determinant equal to 1, then it is an entanglement monotone in the strong sense, i.e. it satisfies the condition of strong monotonicity.[1]
It was proved by Miyake that hyperdeterminants are entanglement monotones and they describe truly multipartite entanglement in the sense that states such as products of
EPR
The geometric measure of entanglement[3] of
\psi
\|\psi-\phi\|2
with respect to all the separable states
\phi=
N | |
otimes | |
i=1 |
\phii.
This approach works for distinguishable particles or the spin systems. For identical or indistinguishable fermions or bosons, the full Hilbert space is not the tensor product of those of each individual particle. Therefore, a simple modification is necessary. For example, for identical fermions, since the full wave function
\psi
\phi
\phi
\psi
This entanglement measure is a generalization of the entanglement of assistance and was constructed in the context of spin chains. Namely, one chooses two spins and performs LOCC operations that aim at obtaining the largest possible bipartite entanglement between them (measured according to a chosen entanglement measure for two bipartite states).[1]