From 3D to 2D and back again

Author:

Dinc Niyazi Ulas12ORCID,Saba Amirhossein1,Madrid-Wolff Jorge2,Gigli Carlo1ORCID,Boniface Antoine2,Moser Christophe2ORCID,Psaltis Demetri1

Affiliation:

1. Optics Laboratory , École polytechnique fédérale de Lausanne , Lausanne , Switzerland

2. Laboratory of Applied Photonics Devices , École polytechnique fédérale de Lausanne , Lausanne , Switzerland

Abstract

Abstract The prospect of massive parallelism of optics enabling fast and low energy cost operations is attracting interest for novel photonic circuits where 3-dimensional (3D) implementations have a high potential for scalability. Since the technology for data input–output channels is 2-dimensional (2D), there is an unavoidable need to take 2D-nD transformations into account. Similarly, the 3D-2D and its reverse transformations are also tackled in a variety of fields such as optical tomography, additive manufacturing, and 3D optical memories. Here, we review how these 3D-2D transformations are tackled using iterative techniques and neural networks. This high-level comparison across different, yet related fields could yield a useful perspective for 3D optical design.

Funder

Swiss National Science Foundation

Publisher

Walter de Gruyter GmbH

Subject

Electrical and Electronic Engineering,Atomic and Molecular Physics, and Optics,Electronic, Optical and Magnetic Materials,Biotechnology

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