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20242026
most citedLiDAR 2.0: Hierarchical Curvy Waveguide Detailed Routing for Large-Scale Photonic Integrated Circuits

4 citations · 5 across the 11 of their papers we have counts for

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8 papers · 1 filter

physics.optics2026

Harnessing Photonics for Machine Intelligence

Hanqing Zhu, Shupeng Ning, Hongjian Zhou +4

The exponential growth of machine-intelligence workloads is colliding with the power, memory, and interconnect limits of the post-Moore era, motivating compute substrates that scal…

physics.optics2026

ReDON: Recurrent Diffractive Optical Neural Processor with Reconfigurable Self-Modulated Nonlinearity

Ziang Yin, Qi Jing, Raktim Sarma +3

Diffractive optical neural networks (DONNs) have demonstrated unparalleled energy efficiency and parallelism by processing information directly in the optical domain. However, thei…

physics.optics2025

Democratizing Electronic-Photonic AI Systems: An Open-Source AI-Infused Cross-Layer Co-Design and Design Automation Toolflow

Hongjian Zhou, Ziang Yin, Jiaqi Gu

Photonics is becoming a cornerstone technology for high-performance AI systems and scientific computing, offering unparalleled speed, parallelism, and energy efficiency. Despite th…

physics.optics2025

Toward Large-Scale Photonics-Empowered AI Systems: From Physical Design Automation to System-Algorithm Co-Exploration

Ziang Yin, Hongjian Zhou, Nicholas Gangi +4

In this work, we identify three considerations that are essential for realizing practical photonic AI systems at scale: (1) dynamic tensor operation support for modern models rathe…

physics.optics2025

Toward Lifelong-Sustainable Electronic-Photonic AI Systems via Extreme Efficiency, Reconfigurability, and Robustness

Ziang Yin, Hongjian Zhou, Chetan Choppali Sudarshan +2

The relentless growth of large-scale artificial intelligence (AI) has created unprecedented demand for computational power, straining the energy, bandwidth, and scaling limits of c…

physics.optics2025

SP2RINT: Spatially-Decoupled Physics-Inspired Progressive Inverse Optimization for Scalable, PDE-Constrained Meta-Optical Neural Network Training

Pingchuan Ma, Ziang Yin, Qi Jing +8

DONNs leverage light propagation for efficient analog AI and signal processing. Advances in nanophotonic fabrication and metasurface-based wavefront engineering have opened new pat…

physics.optics2024

SimPhony: A Device-Circuit-Architecture Cross-Layer Modeling and Simulation Framework for Heterogeneous Electronic-Photonic AI System

Ziang Yin, Meng Zhang, Amir Begovic +3

Electronic-photonic integrated circuits (EPICs) offer transformative potential for next-generation high-performance AI but require interdisciplinary advances across devices, circui…

physics.optics2024

Multi-Dimensional Reconfigurable, Physically Composable Hybrid Diffractive Optical Neural Network

Ziang Yin, Yu Yao, Jeff Zhang +1

Diffractive optical neural networks (DONNs), leveraging free-space light wave propagation for ultra-parallel, high-efficiency computing, have emerged as promising artificial intell…