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Simply Exponential Approximation of the Permanent of Positive Semidefinite Matrices (1704.03486v1)

Published 11 Apr 2017 in math.CO, cs.DS, math.PR, and quant-ph

Abstract: We design a deterministic polynomial time $cn$ approximation algorithm for the permanent of positive semidefinite matrices where $c=e{\gamma+1}\simeq 4.84$. We write a natural convex relaxation and show that its optimum solution gives a $cn$ approximation of the permanent. We further show that this factor is asymptotically tight by constructing a family of positive semidefinite matrices.

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