Super-resolution imaging without prior knowledge using spatial modes sorting

ORAL

Abstract

We show an obvious resolution improvement for two point-sources separation estimation below the Rayleigh limit when using MPLC (multi-plane light conversion) based spatial mode sorting in comparison to when using classical direct imaging with a limited number of photons and no prior information. In this paper, we will describe the experiment and present our experimental results.

* The authors acknowledge the National Science Foundation (NSF) and Department of Energy (DoE)for Engineering Research Center for Quantum Networks (CQN). awarded under cooperative agreement number 1941583

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Presenters

  • Itay Ozer

    University of Arizona

Authors

  • Itay Ozer

    University of Arizona

  • Michael Grace

    Raytheon BBN Technologies, Raytheon BBN

  • Saikat Guha

    University of Arizona