  We study the problem of reconstructing a positive discrete measure on a
compact set $K \subseteq \mathbb{R}^n$ from a finite set of moments (possibly
known only approximately) via convex optimization. We give new uniqueness
results, new quantitative estimates for approximate recovery and a new
sum-of-squares based hierarchy for approximate super-resolution on compact
semi-algebraic sets.
