TR2025-110
Photonics × Machine Learning
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- , "Photonics × Machine Learning", IEEE Photonics Society Summer Topicals Meeting, DOI: 10.1109/SUM65312.2025.11121763, July 2025.BibTeX TR2025-110 PDF
- @inproceedings{Kojima2025jul,
- author = {Kojima, Keisuke and Koike-Akino, Toshiaki},
- title = {{Photonics × Machine Learning}},
- booktitle = {IEEE Photonics Society Summer Topicals Meeting},
- year = 2025,
- month = jul,
- publisher = {IEEE},
- doi = {10.1109/SUM65312.2025.11121763},
- issn = {2376-8614},
- isbn = {979-8-3315-0903-3},
- url = {https://www.merl.com/publications/TR2025-110}
- }
- , "Photonics × Machine Learning", IEEE Photonics Society Summer Topicals Meeting, DOI: 10.1109/SUM65312.2025.11121763, July 2025.
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Abstract:
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.