The PPT Criterion
The PPT criterion — also called the Peres–Horodecki criterion — is the single most useful separability test. It is dead simple to apply (transpose a subsystem, check positivity) and, in the smallest cases, it is exact.
The criterion
Peres (necessity). If a bipartite state is separable, then its partial transpose is positive semidefinite: .
Equivalently, the contrapositive is the working tool: if has any negative eigenvalue, then is entangled. A state with is called PPT; one with a negative partial-transpose eigenvalue is NPT.
The proof of necessity is a one-liner. A separable state is a convex mixture of products, . Partial transposition acts only on , so . Each transposed density operator is again a valid (positive) density operator, so is a convex mixture of positive operators — hence positive. Entanglement is the only thing that can break this.
When is PPT also sufficient?
In general, NPT entangled is only a one-way implication: there exist entangled states that are nonetheless PPT (the bound-entangled states of the next lesson). The famous exception is small dimensions.
Horodecki (sufficiency in and ). For two qubits () and for a qubit–qutrit (), is separable if and only if .
So for two qubits the criterion is complete: PPT separable, and NPT entangled. Beyond this equivalence fails, and PPT becomes a necessary but not sufficient test.
Worked example: Werner state threshold
Recall the Werner state . Its partial transpose has eigenvalues (three-fold) and (once). The smallest is
which is negative exactly when . Therefore:
- : PPT, hence (two qubits) separable.
- : NPT, hence entangled.
This matches the negativity result of the previous lesson, which was nonzero precisely for — negativity is just the magnitude of this single negative eigenvalue. At we get , so the state is entangled.
Try it
For the Werner state at , compute the smallest partial-transpose eigenvalue
and decide whether the state is entangled. Return true if it is
entangled (NPT), false if it is PPT/separable.
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