TR2024-154

Photonics × Machine Learning

    •  Kojima, K., Koike-Akino, T., "Photonics × Machine Learning", FIOLS, September 2024.
      BibTeX TR2024-154 PDF
      • @inproceedings{Kojima2024sep,
      • author = {Kojima, Keisuke and Koike-Akino, Toshiaki}},
      • title = {Photonics × Machine Learning},
      • booktitle = {FIOLS},
      • year = 2024,
      • month = sep,
      • url = {https://www.merl.com/publications/TR2024-154}
      • }
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  • Research Areas:

    Communications, Machine Learning

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