Optical Switches

Agrahari, Rajan; Ghosh, Sambit Kumar; Bhattacharyya, Somak

doi:10.1002/9781119819264.ch1

Cited by 1 publication

(1 citation statement)

References 50 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…There is, however, an interesting challenge in applying gradient-based algorithms to design optical switches. ,,, An optical switch consists of tunable elements where certain physical properties such as indices can be varied, as well as nontunable elements where the physical properties are fixed. During the operation of the switch, the physical properties of the tunable elements are varied such that the device can switch between performing different functionalities, while the physical properties of the nontunable elements are kept constant.…”

Section: Introductionmentioning

confidence: 99%

Inverse Design of Optical Switch Based on Bilevel Optimization Inspired by Meta-Learning

et al. 2023

View full text Add to dashboard Cite

We introduce the concept of meta-learning into the design of active optical switches. An optical switch consists of both tunable and nontunable elements. It has been difficult to apply conventional inverse design methods to optical switches, since the optimal choice of the tunable elements depends on the design of the nontunable elements. Here we show that a bilevel optimization scheme, closely related to the concept of meta-learning, can be used for the design of active optical switches. In this scheme, the inner and outer loops correspond to the optimization of the tunable and nontunable elements, respectively. We illustrate this scheme with two designs of optical switches based on different tuning mechanisms. This approach is generally applicable for the design of optical switches as well as other active and tunable optical devices.

show abstract