Geometric deep optical sensing

Author:

Yuan Shaofan1ORCID,Ma Chao1ORCID,Fetaya Ethan2ORCID,Mueller Thomas3ORCID,Naveh Doron2ORCID,Zhang Fan45ORCID,Xia Fengnian1ORCID

Affiliation:

1. Department of Electrical Engineering, Yale University, New Haven, CT, USA.

2. Faculty of Engineering, Bar-Ilan University, Ramat Gan, Israel.

3. Institute of Photonics, Vienna University of Technology, Vienna, Austria.

4. Department of Physics, The University of Texas at Dallas, Richardson, TX, USA.

5. Department of Physics, Massachusetts Institute of Technology, Cambridge, MA, USA.

Abstract

Geometry, an ancient yet vibrant branch of mathematics, has important and far-reaching impacts on various disciplines such as art, science, and engineering. Here, we introduce an emerging concept dubbed “geometric deep optical sensing” that is based on a number of recent demonstrations in advanced optical sensing and imaging, in which a reconfigurable sensor (or an array thereof) can directly decipher the rich information of an unknown incident light beam, including its intensity, spectrum, polarization, spatial features, and possibly angular momentum. We present the physical, mathematical, and engineering foundations of this concept, with particular emphases on the roles of classical and quantum geometry and deep neural networks. Furthermore, we discuss the new opportunities that this emerging scheme can enable and the challenges associated with future developments.

Publisher

American Association for the Advancement of Science (AAAS)

Subject

Multidisciplinary

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