---
res:
  bibo_abstract:
  - We present a framework for the end-to-end optimization of metasurface imaging
    systems that reconstruct targets using compressed sensing, a technique for solving
    underdetermined imaging problems when the target object exhibits sparsity (i.e.
    the object can be described by a small number of non-zero values, but the positions
    of these values are unknown). We nest an iterative, unapproximated compressed
    sensing reconstruction algorithm into our end-to-end optimization pipeline, resulting
    in an interpretable, data-efficient method for maximally leveraging metaoptics
    to exploit object sparsity. We apply our framework to super-resolution imaging
    and high-resolution depth imaging with a phase-change material. In both situations,
    our end-to-end framework computationally discovers optimal metasurface structures
    for compressed sensing recovery, automatically balancing a number of complicated
    design considerations to select an imaging measurement matrix from a complex,
    physically constrained manifold with millions ofdimensions. The optimized metasurface
    imaging systems are robust to noise, significantly improving over random scattering
    surfaces and approaching the ideal compressed sensing performance of a Gaussian
    matrix, showing how a physical metasurface system can demonstrably approach the
    mathematical limits of compressed sensing.@eng
  bibo_authorlist:
  - foaf_Person:
      foaf_givenName: Gaurav
      foaf_name: Arya, Gaurav
      foaf_surname: Arya
  - foaf_Person:
      foaf_givenName: William F.
      foaf_name: Li, William F.
      foaf_surname: Li
  - foaf_Person:
      foaf_givenName: Charles
      foaf_name: Roques-Carmes, Charles
      foaf_surname: Roques-Carmes
      foaf_workInfoHomepage: http://www.librecat.org/personId=e2e68fc9-6505-11ef-a541-eb4e72cc3e82
  - foaf_Person:
      foaf_givenName: Marin
      foaf_name: Soljačić, Marin
      foaf_surname: Soljačić
  - foaf_Person:
      foaf_givenName: Steven G.
      foaf_name: Johnson, Steven G.
      foaf_surname: Johnson
  - foaf_Person:
      foaf_givenName: Zin
      foaf_name: Lin, Zin
      foaf_surname: Lin
  bibo_doi: 10.1021/acsphotonics.4c00259
  dct_date: 2024^xs_gYear
  dct_isPartOf:
  - http://id.crossref.org/issn/2330-4022
  dct_language: eng
  dct_publisher: American Chemical Society@
  dct_subject:
  - end-to-end
  - optimization
  - metasurface
  - imaging
  - compressed sensing
  dct_title: End-to-end optimization of metasurfaces for imaging with compressed sensing@
...