Design and optimization of active photonic devices
Abstract/Contents
- Abstract
- As light passes through a dielectric structure, its properties, such as phase, amplitude, and propagation direction, are determined by the material properties and the structure's design. Active photonic devices, characterized by their tunable properties, such as refractive index, unlock groundbreaking opportunities in various fields, including information processing, optical communication, and exotic physics phenomena. This thesis focuses on exploring the design, optimization, and theory of optical neural networks and nonreciprocal devices by harnessing the tunability of active photonic components. The first part of the thesis delves into the design of a coherent optical neural network utilizing microring resonators for optical computing. The proposed architecture consists of tunable microring resonators as components for linear matrix-multiplication layers and re- configurable nonlinear activation functions. It offers advantages in both device footprint and energy efficiency. We discuss the algorithms developed to train direct tunable parameters in the network using the transfer matrix method and automatic differentiation. The second part of the thesis focuses on nonreciprocal devices based on dynamic modu- lation. We discuss the design for nonreciprocal polarization rotation without using magneto-optical materials, the optimization algorithms using adjoint methods, and a novel modal circulator that achieves amplitude nonreciprocity while preserving mirror symmetry.
Description
| Type of resource | text |
|---|---|
| Form | electronic resource; remote; computer; online resource |
| Extent | 1 online resource. |
| Place | California |
| Place | [Stanford, California] |
| Publisher | [Stanford University] |
| Copyright date | 2023; ©2023 |
| Publication date | 2023; 2023 |
| Issuance | monographic |
| Language | English |
Creators/Contributors
| Author | Wang, Jiahui |
|---|---|
| Degree supervisor | Fan, Shanhui |
| Thesis advisor | Fan, Shanhui |
| Thesis advisor | Brongersma, Mark |
| Thesis advisor | Safavi-Naeini, Amir |
| Degree committee member | Brongersma, Mark |
| Degree committee member | Safavi-Naeini, Amir |
| Associated with | Stanford University, School of Humanities and Sciences |
| Associated with | Stanford University, Department of Applied Physics |
Subjects
| Genre | Theses |
|---|---|
| Genre | Text |
Bibliographic information
| Statement of responsibility | Jiahui Wang. |
|---|---|
| Note | Submitted to the Department of Applied Physics. |
| Thesis | Thesis Ph.D. Stanford University 2023. |
| Location | https://purl.stanford.edu/hz378cv2537 |
Access conditions
- Copyright
- © 2023 by Jiahui Wang
- License
- This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).
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