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physics.optics2026
Scalable optical neural network with nonlocally coupled coherent photonic processor
Chun Ren, Ryota Tanomura, Kazuki Ichinose +5
Optical neural networks (ONNs) based on programmable photonic integrated circuits (PICs) offer a promising route toward low-latency and energy-efficient deep learning. However, con…
physics.optics2024
Sub-quadratic scalable approximate linear converter using multi-plane light conversion with low-entropy mode mixers
Yoshitaka Taguchi
Optical computing is emerging as a promising platform for energy-efficient, high-throughput hardware in deep learning. A key challenge lies in the realization of optical matrix-vec…