1 citations · 2 across the 4 of their papers we have counts for
4 papers
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…
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…
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…
Iterative configuration of programmable unitary converter based on few layer redundant multi-plane light conversion
Yoshitaka Taguchi, Yunzhuo Wang, Ryota Tanomura +2
Programmable unitary photonic devices are emerging as promising tools to implement unitary transformation for quantum information processing, machine learning, and optical communic…