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Real-Time Singularity Modulation With a Liquid Crystal On-Chip Optical Computing System for High-Fidelity Imaging
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DOI：10.1002/lpor.202501529.png)
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Abstract
En 中文
The existence of discontinuous and time-varying singularities poses a fundamental challenge to phase modulation and imaging performance within optical systems. We first present a liquid crystal on-chip optical computing system (LCOC) integrating a liquid crystal microlens array (LC-MLA) and a polymer-dispersed liquid crystal (PDLC) film. The LCOC architecture comprises a cascade of two optical convolutional layers and a nonlinear activation layer, enabling programmable optical computation. By exploiting the electronic tunability of the LC-MLA for adaptive linear filtering and the scattering nonlinearity of the PDLC film, the system transforms discontinuous singularity distributions into continuous functions. Through optoelectronic co-optimization, our approach achieves real-time singularity modulation. Experimental results show that the LCOC suppresses singularities with a root-mean-square error (RMSE) of 0.03725 λ $\lambda $ , improving imaging fidelity. The system outperforms both single-layer optical and digital neural networks, offering a promising route toward high-performance, adaptive optical computing.
Keywords:
deep optics
joint optimization
liquid crystal microlens array
on-chip system
optical computing
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