Photonics × Machine Learning
Keisuke Kojima, Toshiaki Koike–Akino · 2024
We will present the recent progress of generative AI for the design of photonic devices, including variable autoencoders and diffusion models, and latent space optimization. We also review our non-traditional way of implementing optical neural networks using data re-uploading technique originally proposed for quantum computing.