Skip to content
DraconiticResearch
Search Sources API
178,970 studies31 sourcesUpdated 34 min ago
PreprintarXiv licencearXiv

Wavelength-Multiplexed 2D Beam Steering via a Passive Diffractive Network

Abstract

We introduce a wavelength-addressable diffractive optical network that transforms illumination wavelength into a high-dimensional control parameter for arbitrarily programmable 2D beam steering. The proposed passive architecture comprises cascaded spatially optimized diffractive layers, jointly designed using deep learning, to rapidly map distinct wavelengths to predefined/desired output angles. Unlike conventional single-layer dispersive optical elements, which are physically restricted to 1D linear mapping, this framework harnesses complex wavefront transformations to utilize the illumination wavelength as an intrinsic addressing key for arbitrary 2D beam steering, eliminating the need for mechanical scanning or electronic phase control. We numerically demonstrate wavelength-controlled beam steering across 625 wavelength channels spanning 400-750 nm, realizing a 25 x 25 array of independently addressable beam positions with subwavelength positioning accuracy and high channel fidelity. Unlike conventional gratings, which constrain wavelength routing to a linear trajectory, the proposed diffractive network performs nonlocal wavefront transformations, enabling arbitrary wavelength-to-angle mappings across a 2D field of view. We further validate the proposed framework experimentally in both the terahertz and visible spectral regimes, demonstrating wavelength-multiplexed beam steering using 3D fabricated passive diffractive layers at terahertz frequencies and phase-only spatial light modulators in the visible spectrum. This wavelength-addressable diffractive architecture establishes a compact and scalable paradigm for high-speed programmable beam steering, with potential applications in optical communications, routing, imaging, sensing, and emerging photonic information-processing systems.

Versions

Related

  1. Wavelength-Multiplexed Nonlinear Computing with a Single-Layer Diffractive Optical Processor
    Yongkang Cheng, Che-Yung Shen, Yuntian Wang +2
    arXivPreprintarXiv licenceFull textApplied physics & instrumentationOptics & photonicsarXiv
  2. Scalable Megapixel resolution Solid-State LiDAR architecture by Dual-MEMS coarse-fine Diffractive Beam Steering with Crosstalk Mitigation
    Rajesh Shrestha, Yefu Zhang, Lily McKenna +4
    Optics ExpressPeer-reviewedLicence not statedApplied physics & instrumentationCrossref
  3. Meta-Optics-Based Diffractive Learning Machine for Angle-Multiplexed Multi-Task Processing
    Mingcheng Luo, Jianmin Xiong, Jiayong Peng +4
    arXivPreprintCC BY 4.0Full textOptics & photonicsarXiv
  4. Edge-enhanced diffractive neural networks based on spin-multiplexed nonlocal metasurfaces
    Qianqian He, Kenan Guo, Jumin Qiu +3
    arXivPreprintarXiv licenceFull textApplied physics & instrumentationOptics & photonicsarXiv
  5. Terabit-scale wavelength-multiplexed transmitter enabled by thin-film lithium tantalate
    Shivaprasad U. Hulyal, Dengyang Fang, Jiachen Cai +5
    arXivPreprintCC BY 4.0Full textApplied physics & instrumentationOptics & photonicsarXiv
BibTeX
@misc{shen2026wavelengthmultiplexed,
  title = {{Wavelength-Multiplexed 2D Beam Steering via a Passive Diffractive Network}},
  author = {Che-Yung Shen and Yuhang Li and Cagatay Isil and Tianyi Gan and Mona Jarrahi and Aydogan Ozcan},
  howpublished = {arXiv},
  year = {2026},
  month = jun,
  doi = {10.48550/arxiv.2606.16261},
  eprint = {2606.16261},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2606.16261},
}
RIS
TY  - UNPB
TI  - Wavelength-Multiplexed 2D Beam Steering via a Passive Diffractive Network
AU  - Che-Yung Shen
AU  - Yuhang Li
AU  - Cagatay Isil
AU  - Tianyi Gan
AU  - Mona Jarrahi
AU  - Aydogan Ozcan
PY  - 2026
DA  - 2026/06/15
PB  - arXiv
DO  - 10.48550/arxiv.2606.16261
UR  - https://arxiv.org/abs/2606.16261
AB  - We introduce a wavelength-addressable diffractive optical network that transforms illumination wavelength into a high-dimensional control parameter for arbitrarily programmable 2D beam steering. The proposed passive architecture comprises cascaded spatially optimized diffractive layers, jointly designed using deep learning, to rapidly map distinct wavelengths to predefined/desired output angles. Unlike conventional single-layer dispersive optical elements, which are physically restricted to 1D linear mapping, this framework harnesses complex wavefront transformations to utilize the illumination wavelength as an intrinsic addressing key for arbitrary 2D beam steering, eliminating the need for mechanical scanning or electronic phase control. We numerically demonstrate wavelength-controlled beam steering across 625 wavelength channels spanning 400-750 nm, realizing a 25 x 25 array of independently addressable beam positions with subwavelength positioning accuracy and high channel fidelity. Unlike conventional gratings, which constrain wavelength routing to a linear trajectory, the proposed diffractive network performs nonlocal wavefront transformations, enabling arbitrary wavelength-to-angle mappings across a 2D field of view. We further validate the proposed framework experimentally in both the terahertz and visible spectral regimes, demonstrating wavelength-multiplexed beam steering using 3D fabricated passive diffractive layers at terahertz frequencies and phase-only spatial light modulators in the visible spectrum. This wavelength-addressable diffractive architecture establishes a compact and scalable paradigm for high-speed programmable beam steering, with potential applications in optical communications, routing, imaging, sensing, and emerging photonic information-processing systems.
ER  -