Geometric deep optical sensing

Shaofan Yuan, Chao Ma, Ethan Fetaya, Thomas Mueller, Doron Naveh, Fan Zhang, Fengnian Xia

Research output: Contribution to journalReview articlepeer-review

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.

Original languageEnglish
Article numbereade1220
JournalScience
Volume379
Issue number6637
DOIs
StatePublished - 17 Mar 2023

All Science Journal Classification (ASJC) codes

  • General

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