Diffractive Magic Cube Network with Super-high Capacity Enabled by Mechanical Reconfiguration

TL;DR

This paper introduces a diffractive magic cube network that significantly enhances optical system capacity through mechanical reconfiguration and neural network optimization, enabling high-channel multiplexing for advanced optical applications.

Contribution

It proposes a novel diffractive magic cube network utilizing a deep neural network to optimize mechanically reconfigurable optical channels, achieving super-high capacity with low crosstalk.

Findings

Demonstrated 144-channel holograms experimentally

Achieved 108-channel single/double focus generation

Generated 60-channel multi-mode OAM beams

Abstract

Free-space wavefront manipulation devices have emerged as powerful platforms for advanced optical information systems. In response to the challenges posed by the exponential growth of optical information, optical multiplexing and dynamic reconfigurable devices are being actively explored to the enhance system capacity. Among them, coarse-grained mechanically reconfigurable mechanism offers a cost-effective and low-complexity approach for capacity enhancement. However, the channel numbers achieved in current studies are insufficient for practical applications because of inadequate mechanical transformations and suboptimal optimization models. In this article, a diffractive magic cube network (DMCN) is proposed to advance the multiplexing capacity of mechanically reconfigurable system. We utilized the diffractive deep neural network (D2NN) model to jointly optimize the subset of channels generated by the combination of three mechanical operations, permutation, translation, and rotation. The 144-channel holograms, 108-channel single/double focus, 60-channel single/multi-mode OAM beam generation were experimentally demonstrated using diffractive optical elements (DOEs). An equivalent connectivity law was formulated to improve model scalability. Our strategy not only provides a novel paradigm to improve system capacity to super-high level with low crosstalk, but also paves the way for new advancements in optical storage, computing, communication, and photolithography.