# Difference between revisions of "IsSeparable"

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|name=IsSeparable | |name=IsSeparable | ||

|desc=Determines whether or not a bipartite operator is separable | |desc=Determines whether or not a bipartite operator is separable | ||

− | |req=[http://cvxr.com/cvx/ | + | |req=[http://cvxr.com/cvx/ CVX] |

|rel=[[InSeparableBall]]<br />[[IsBlockPositive]]<br />[[IsPPT]]<br />[[IsPSD]]<br />[[OperatorSchmidtDecomposition]]<br />[[OperatorSchmidtRank]]<br />[[SymmetricExtension]]<br />[[SymmetricInnerExtension]] | |rel=[[InSeparableBall]]<br />[[IsBlockPositive]]<br />[[IsPPT]]<br />[[IsPSD]]<br />[[OperatorSchmidtDecomposition]]<br />[[OperatorSchmidtRank]]<br />[[SymmetricExtension]]<br />[[SymmetricInnerExtension]] | ||

|cat=[[List of functions#Entanglement_and_separability|Entanglement and separability]] | |cat=[[List of functions#Entanglement_and_separability|Entanglement and separability]] |

## Latest revision as of 16:36, 13 June 2018

IsSeparable | |

Determines whether or not a bipartite operator is separable | |

Other toolboxes required | CVX |
---|---|

Related functions | InSeparableBall IsBlockPositive IsPPT IsPSD OperatorSchmidtDecomposition OperatorSchmidtRank SymmetricExtension SymmetricInnerExtension |

Function category | Entanglement and separability |

` IsSeparable` is a function that determines whether a bipartite operator is separable or entangled. A value of 0 indicates that the operator is entangled, a value of 1 indicates that the operator is separable, and a value of -1 indicates that the script was unable to determine whether the operator is separable or entangled.

## Syntax

`SEP = IsSeparable(X)``SEP = IsSeparable(X,DIM)``SEP = IsSeparable(X,DIM,STR)``SEP = IsSeparable(X,DIM,STR,VERBOSE)``SEP = IsSeparable(X,DIM,STR,VERBOSE,TOL)`

## Argument descriptions

`X`: A bipartite positive semidefinite operator.`DIM`(optional, by default has both subsystems of equal dimension): A 1-by-2 vector containing the dimensions of the two subsystems that`X`acts on.`STR`(optional, default 2): An integer that determines how hard the script should work to determine separability before giving up (`STR = -1`means that the script won't stop working until it finds an answer). Other valid values are`0, 1, 2, 3, ...`. In practice, if`STR >= 4`then most computers will run out of memory and/or the sun will explode before computation completes.`VERBOSE`(optional, default 1): A flag (either 0 or 1) that indicates that the script will or will not display a line of text describing how it proved that`X`is or is not separable.`TOL`(optional, default`eps^(3/8)`): The numerical tolerance used throughout the script.

## Examples

### Determining entanglement of a bound entangled state

The following code constructs a two-qutrit bound entangled state based on the "Tiles" unextendible product basis. This state's entanglement can not be detected by the positive partial transpose criterion, but the following code shows that it is indeed entangled.

```
>> v = UPB('Tiles');
>> rho = eye(9);
>> for j = 1:5
rho = rho - v(:,j)*v(:,j)';
end
>> rho = rho/4; % we are now done constructing the bound entangled state
>> IsSeparable(rho)
Determined to be entangled via the realignment criterion. Reference:
K. Chen and L.-A. Wu. A matrix realignment method for recognizing entanglement.
Quantum Inf. Comput., 3:193-202, 2003.
ans =
0
```

The following code performs the same computation, but has `VERBOSE` set to 0 so that the method of proving that `rho` is entangled is not displayed.

```
>> IsSeparable(rho,[3,3],2,0)
ans =
0
```

### Mixtures with the maximally-mixed state

Every state that is sufficiently close to the maximally-mixed state is separable, so for every entangled state $\rho \in M_A \otimes M_B$, the state $\sigma_p := p\rho + \tfrac{1}{d_A d_B}(1-p)I$ is separable as long as $p$ is small enough.

For the remainder of this example, $\rho$ is the same bound entangled state based on the "Tiles" UPB from the previous example. It was shown in ^{[1]} that the Filter Covariance Matrix Criterion detects the entanglement in $\sigma_p$ when $p = 0.8723$, which we can verify as follows:

```
>> p = 0.8723; sigma = p*rho + (1-p)*eye(9)/9;
>> IsSeparable(sigma)
Determined to be entangled via the Filter Covariance Matrix Criterion. Reference:
O. Gittsovich, O. Gühne, P. Hyllus, and J. Eisert. Unifying several separability
conditions using the covariance matrix criterion. Phys. Rev. A, 78:052319, 2008.
ans =
0
```

However, if we decrease $p$ to $p = 0.8722$ then a stronger test of entanglement is needed to determine that $\sigma_p$ is entangled:

```
>> p = 0.8722; sigma = p*rho + (1-p)*eye(9)/9;
>> IsSeparable(sigma)
Determined to be entangled by not having a 2-copy symmetric extension. Reference:
A. C. Doherty, P. A. Parrilo, and F. M. Spedalieri. A complete family of separability
criteria. Phys. Rev. A, 69:022308, 2004.
ans =
0
```

If we decrease $p$ further, then $\sigma_p$ becomes separable:

```
>> p = 0.2; sigma = p*rho + (1-p)*eye(9)/9;
>> IsSeparable(sigma)
Determined to be separable by closeness to the maximally mixed state. Reference:
L. Gurvits and H. Barnum. Largest separable balls around the maximally mixed bipartite
quantum state. Phys. Rev. A, 66:062311, 2002.
ans =
1
```

If we increase $p$ back to $p = 0.4$ then $\sigma_p$ is still separable, but a stronger test is required to prove its separability:

```
>> p = 0.4; sigma = p*rho + (1-p)*eye(9)/9;
>> IsSeparable(sigma)
Determined to be separable via the semidefinite program based on 2-copy symmetric extensions from reference:
M. Navascues, M. Owari, and M. B. Plenio. A complete criterion for separability detection. Phys. Rev. Lett.,
103:160404, 2009.
ans =
1
```

If we increase $p$ slightly more to $p = 0.45$ then $\sigma_p$ is still separable, but none of the default tests for separability are strong enough to determine this. To prove separability, we can increase the `STR` argument to 3:

```
>> p = 0.45; sigma = p*rho + (1-p)*eye(9)/9;
>> IsSeparable(sigma)
ans =
-1
>> IsSeparable(sigma,[3,3],3)
Determined to be separable via the semidefinite program based on 3-copy symmetric extensions from reference:
M. Navascues, M. Owari, and M. B. Plenio. A complete criterion for separability detection. Phys. Rev. Lett., 103:160404, 2009.
ans =
1
```

### Isotropic states

It is well-known that isotropic states $(1-\alpha)I/d^2 + \alpha|\psi_+\rangle\langle\psi_+| \in M_d \otimes M_d$ are separable if and only if $\alpha \leq 1/(d+1)$,^{[2]} which can be verified in the $d = 3$ case as follows:

```
>> d = 3;
>> IsSeparable(IsotropicState(d, 1/(d+1)))
Determined to be separable by being a small rank-1 perturbation of the maximally-mixed state. Reference:
G. Vidal and R. Tarrach. Robustness of entanglement. Phys. Rev. A, 59:141-155, 1999.
ans =
1
>> IsSeparable(IsotropicState(d, 1/(d+1)+0.0001))
Determined to be entangled via the realignment criterion. Reference:
K. Chen and L.-A. Wu. A matrix realignment method for recognizing entanglement. Quantum Inf. Comput., 3:193-202, 2003.
ans =
0
```

### Werner states

It is well-known that Werner states $\frac{1}{d^2-d\alpha}(I\otimes I - \alpha S) \in M_d \otimes M_d$ are separable if and only if $\alpha \leq 1/d$,^{[3]} which can be verified in the $d = 3$ case as follows:

```
>> d = 3;
>> IsSeparable(WernerState(d, 1/d))
Determined to be separable by closeness to the maximally mixed state. Reference:
L. Gurvits and H. Barnum. Largest separable balls around the maximally mixed bipartite quantum state. Phys. Rev. A, 66:062311, 2002.
ans =
1
>> IsSeparable(WernerState(d, 1/d+0.0001))
Determined to be entangled via the PPT criterion. Reference:
A. Peres. Separability criterion for density matrices. Phys. Rev. Lett., 77:1413-1415, 1996.
ans =
0
```

## Notes

In general, we are much better at proving that an operator is entangled than we are at proving that it is separable. Thus, if this script returns a value of -1 (indicating that it was unable to prove that the operator is separable or entangled) then that is a pretty good indicator that the operator is probably separable.

## Source code

Click on "expand" to the right to view the MATLAB source code for this function.

## References

- ↑ O. Gittsovich, O. Gühne, P. Hyllus, and J. Eisert. Unifying several separability conditions using the covariance matrix criterion. Phys. Rev. A, 78:052319, 2008. E-print: arXiv:0803.0757 [quant-ph]
- ↑ M. Horodecki and P. Horodecki. Reduction criterion of separability and limits for a class of distillation protocols. Phys. Rev. A, 59:4206–4216, 1999. E-print: arXiv:quant-ph/9708015
- ↑ R. F. Werner. Quantum states with Einstein-Podolsky-Rosen correlations admitting a hidden-variable model.
*Phys. Rev. A*, 40(8):4277–4281.