Tensor-Train Decomposed Synaptic Interconnections for Compact and Scalable Photonic Neural Networks
Xian Xiao, S. J. Ben Yoo · 2020
We propose a compact and scalable photonic neural network architecture based on tensor-train decomposed synaptic interconnections with Mach-Zehnder interferometers as building blocks. At the scale of 1024×1024, our architecture exhibits 1164× fewer MZIs and 10.2× fewer cascaded stages.