2 citations · 4 across the 4 of their papers we have counts for
4 papers
A mode-multiplexed photonic integrated vector dot-product core from inverse design
Zheyuan Zhu, Raktim Sarma, Seth Smith-Dryden +2
Photonic computing has the potential of harnessing the full degrees of freedom (DOFs) of the light field, including wavelength, spatial mode, spatial location, phase quadrature, an…
A physical neural network training approach toward multi-plane light conversion design
Zheyuan Zhu, Joe H. Doerr, Guifang Li +1
Multi-plane light converter (MPLC) designs supporting hundreds of modes are attractive in high-throughput optical communications. These photonic structures typically comprise >10 p…
Fixed-point iterative linear inverse solver with extended precision
Zheyuan Zhu, Andrew B. Klein, Guifang Li +1
Solving linear systems is a ubiquitous task in science and engineering. Because directly inverting a large-scale linear system can be computationally expensive, iterative algorithm…
Training of mixed-signal optical convolutional neural network with reduced quantization level
Joseph Ulseth, Zheyuan Zhu, Guifang Li +1
Mixed-signal artificial neural networks (ANNs) that employ analog matrix-multiplication accelerators can achieve higher speed and improved power efficiency. Though analog computing…