3 papers
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…
eess.SP2023
Standalone gradient measurement of matrix norm for programmable unitary converters
Yoshitaka Taguchi, Yasuyuki Ozeki
Programmable unitary converters are powerful tools for realizing unitary transformations, advancing fields of computing and communication. The accuracy of these unitary transformat…