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Abstract: A separable density matrix is a positive semidefinite hermitean matrix with trace 1 that is the convex combination of tensor products of pure states (ie rank one). The set of such is convex, closed and has a non-empty interior. But it is next to impossible to figure how many products one needs in convex combination to produce a separable density matrix. I will talk about some results I got this summer.