Reinforcement learning for photonic component design
We present a new fab-in-the-loop reinforcement learning algorithm for the design of nano-photonic components that accounts for the imperfections present in nanofabrication processes. As a demonstration of the potential of this technique, we apply it to the design of photonic crystal grating couplers...
Main Authors: | Donald Witt, Jeff Young, Lukas Chrostowski |
---|---|
Format: | Article |
Language: | English |
Published: |
AIP Publishing LLC
2023-10-01
|
Series: | APL Photonics |
Online Access: | http://dx.doi.org/10.1063/5.0159928 |
Similar Items
-
Cryogenic optical packaging using photonic wire bonds
by: Becky Lin, et al.
Published: (2023-12-01) -
High-speed photonics interconnects /
by: Chrostowski, Lukas, et al.
Published: (2013) -
Silicon Photonic Biosensors Using Label-Free Detection
by: Enxiao Luan, et al.
Published: (2018-10-01) -
Photonic architecture for reinforcement learning
by: Fulvio Flamini, et al.
Published: (2020-01-01) -
Roadmapping the next generation of silicon photonics
by: Sudip Shekhar, et al.
Published: (2024-01-01)