  In this short note we propose a simple two-stage sparse phase retrieval
strategy that uses a near-optimal number of measurements, and is both
computationally efficient and robust to measurement noise. In addition, the
proposed strategy is fairly general, allowing for a large number of new
measurement constructions and recovery algorithms to be designed with minimal
effort.
