Broadband Unidirectional Visible Imaging Using Wafer-Scale Nano-Fabrication of Multi-Layer Diffractive Optical Processors
arXiv:2412.11374 · doi:10.1038/s41377-025-01971-2
Abstract
We present a broadband and polarization-insensitive unidirectional imager that operates at the visible part of the spectrum, where image formation occurs in one direction while in the opposite direction, it is blocked. This approach is enabled by deep learning-driven diffractive optical design with wafer-scale nano-fabrication using high-purity fused silica to ensure optical transparency and thermal stability. Our design achieves unidirectional imaging across three visible wavelengths (covering red, green and blue parts of the spectrum), and we experimentally validated this broadband unidirectional imager by creating high-fidelity images in the forward direction and generating weak, distorted output patterns in the backward direction, in alignment with our numerical simulations. This work demonstrates the wafer-scale production of diffractive optical processors, featuring 16 levels of nanoscale phase features distributed across two axially aligned diffractive layers for visible unidirectional imaging. This approach facilitates mass-scale production of ~0.5 billion nanoscale phase features per wafer, supporting high-throughput manufacturing of hundreds to thousands of multi-layer diffractive processors suitable for large apertures and parallel processing of multiple tasks. Our design can seamlessly integrate into conventional optical systems, broadening its applicability in fields such as security, defense, and telecommunication. Beyond broadband unidirectional imaging in the visible spectrum, this study establishes a pathway for artificial-intelligence-enabled diffractive optics with versatile applications, signaling a new era in optical device functionality with industrial-level massively scalable fabrication.
23 Pages, 6 Figures
References in corpus (29)
- All-Optical Machine Learning Using Diffractive Deep Neural Networks
- A Generative Model for Inverse Design of Metamaterials
- Single-chip photonic deep neural network for instantaneous image classification
- Large-scale neuromorphic optoelectronic computing with a reconfigurable diffractive processing unit
- Deep learning in nano-photonics: inverse design and beyond
- Inverse design enables large-scale high-performance meta-optics reshaping virtual reality
- Image sensing with multilayer, nonlinear optical neural networks
- Analysis of Diffractive Optical Neural Networks and Their Integration with Electronic Neural Networks
- Spectrally-Encoded Single-Pixel Machine Vision Using Diffractive Networks
- All-Optical Information Processing Capacity of Diffractive Surfaces
- Misalignment Resilient Diffractive Optical Networks
- Leaky-wave metasurfaces for integrated photonics
- Optical Fourier surfaces
- Snapshot Multispectral Imaging Using a Diffractive Optical Network
- Diffractive all-optical computing for quantitative phase imaging
- Inverse-designed low-index-contrast structures on silicon photonics platform for vector-matrix multiplication
- Massively Parallel Universal Linear Transformations using a Wavelength-Multiplexed Diffractive Optical Network
- To image, or not to image: Class-specific diffractive cameras with all-optical erasure of undesired objects
- Universal Linear Intensity Transformations Using Spatially-Incoherent Diffractive Processors
- All-optical image denoising using a diffractive visual processor
- Data class-specific all-optical transformations and encryption
- Unidirectional Imaging using Deep Learning-Designed Materials
- Multiplane Quantitative Phase Imaging Using a Wavelength-Multiplexed Diffractive Optical Processor
- Deep learning-based color holographic microscopy
- Neural Étendue Expander for Ultra-Wide-Angle High-Fidelity Holographic Display
- Multispectral Quantitative Phase Imaging Using a Diffractive Optical Network
- Pyramid diffractive optical networks for unidirectional image magnification and demagnification
- All-Optical Phase Conjugation Using Diffractive Wavefront Processing
- Unidirectional imaging with partially coherent light