New framework for convex optimization on moment polytopes yields first efficient algorithms for computing quantum functionals and tensor parameters with quantitative convergence rates.

New framework for convex optimization on moment polytopes yields first efficient algorithms for computing quantum functionals and tensor parameters with quantitative convergence rates.