Category: Programmable photonics

"Nature" perspective - Inference in artificial intelligence with deep optics and photonics

G. Wetzstein, A. Ozcan, S. Gigan, Shanhui Fan, D. Englund, M. Soljačić, C. Denz, D. A. B. Miller and D. Psaltis “Inference in artificial intelligence with deep optics and photonics,” Nature 588, 39-47 (2020) https://doi.org/10.1038/s41586-020-2973-6 Open access link https://rdcu.be/cbBRj

A new way of making, using and understanding optics

“A new way of making, using and understanding optics,” Annual Meeting of the International Max Planck Research School – Physics of Light on Oct. 21, 2020, Erlangen, Germany (virtual conference).

"Nature" review - Programmable photonic circuits

W. Bogaerts, D. Pérez, J. Capmany, D. A. B. Miller, J. Poon, D. Englund, F. Morichetti and A. Melloni “Programmable photonic circuits,” Nature 586, 207–216 (2020). https://doi.org/10.1038/s41586-020-2764-0 Open access link https://rdcu.be/b8caY

Complicated photonic circuits that set themselves up

“Self-configuring silicon photonics,” European Optical Society Annual Meeting (EOSAM), 7 – 11 September 2020 (online meeting), in TOM 1- Silicon Photonics and Guided-Wave Optics, Session 2. .

Automatically measuring and generating arbitrary optical fields

D. A. B. Miller, “Analyzing and generating multimode optical fields using self-configuring networks,” Optica 7, 794-801 (2020) https://doi.org/10.1364/OPTICA.391592 Supplementary material at this link and at https://doi.org/10.6084/m9.figshare.12476123