Publications

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End-to-end Optimization of Metasurfaces for Imaging with Compressed Sensing
In ACS Photonics, 2024.
We present a framework for the end-to-end optimization of metasurface imaging systems that reconstruct targets using compressed sensing, a technique for exploiting sparsity in imaging. Our metasurface designs approach the ideal performance of a Gaussian matrix and hence the mathematical limits of compressed sensing.
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Transcending shift-invariance in the paraxial regime via end-to-end inverse design of freeform nanophotonics
In Optics Express, 2023.
We present a method for the nanophotonic inverse design of compact imaging systems whose resolution is not constrained by paraxial shift-invariance. Our design is done end-to-end, integrating density-based full-Maxwell topology optimization with a fully iterative elastic-net reconstruction algorithm.