
We give a short proof of the cross norm characterization of separability due to O. Rudolph and show how its computation, for a fixed chosen error, can be reduced to a linear programming problem whose dimension grows polynomially with the inverse of the error.
7 pages. To appear in Phys. Lett. A
Foundations, quantum information and its processing, quantum axioms, and philosophy, Quantum Physics, Applications of functional analysis in quantum physics, separability, tensor norms, FOS: Physical sciences, multipartite quantum system, Tensor products in functional analysis, Quantum Physics (quant-ph), density matrix
Foundations, quantum information and its processing, quantum axioms, and philosophy, Quantum Physics, Applications of functional analysis in quantum physics, separability, tensor norms, FOS: Physical sciences, multipartite quantum system, Tensor products in functional analysis, Quantum Physics (quant-ph), density matrix
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