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physics.optics2024
Inverse-designed Photonic Computing Core for Parallel Matrix-vector Multiplication
Kaiyuan Wang, Yunlong Li, Tiange Wu +3
On-chip optical neural networks (ONNs) have recently emerged as an attractive hardware accelerator for deep learning applications, characterized by high computing density, low late…
physics.optics2023
Fully Tunable On-Chip Meta-Generator for Multidimensional Poincaré Sphere mapping
Jing Luan, Tiange Wu, Shuang Zheng +7
The angular momentum of light can be elegantly mapped onto high-order Poincare spheres, providing a powerful framework for describing structured light beams. Such beams have shown…
physics.optics2019★ 3 cited
Digitized Adjoint Method for Inverse Design of Digital Nanophotonic Devices
Xinshu Ren, Weijie Chang, Longhui Lu +3
We present a digitized adjoint method for realizing efficient inverse design of "digital" subwavelength nanophotonic devices. We design a single-mode 3-dB power divider and a dual-…