Accelerating Artificial Intelligence with Programmable Silicon Photonics
Advances in the fabrication of large-scale integrated silicon photonics have sparked interest in optical systems that process information at high speeds with ultra-low energy consumption. Photonic systems, which have historically been used for optical telecommunications, have recently been demonstra...
Main Author: | Bandyopadhyay, Saumil |
---|---|
Other Authors: | Englund, Dirk R. |
Format: | Thesis |
Published: |
Massachusetts Institute of Technology
2023
|
Online Access: | https://hdl.handle.net/1721.1/151430 |
Similar Items
-
Hardware error correction for programmable photonics
by: Bandyopadhyay, Saumil, et al.
Published: (2022) -
Photonics for artificial intelligence and neuromorphic computing
by: Shastri, BJ, et al.
Published: (2021) -
Frequency down-conversion for quantum networking with nitrogen-vacancy centers in diamond
by: Bandyopadhyay, Saumil
Published: (2018) -
Accelerating Fielding of Artificial Intelligence Programs with the DAF-MIT AI Accelerator
by: Foy, Kylie
Published: (2024) -
Programmable nanophotonics for quantum information processing and artificial intelligence
by: Harris, Nicholas Christopher
Published: (2018)