Illustrated tutorial on global optimization in nanophotonics

TL;DR

This tutorial introduces global optimization techniques tailored for photonic inverse design, providing practical guidance, code examples, and discussing how physical intuition aids in evaluating solutions.

Contribution

It offers a comprehensive tutorial with algorithms, methodology, and code for applying global optimization in photonics, addressing reproducibility and efficiency issues.

Findings

Provides a rigorous methodology for global optimization in photonics

Includes code and examples for practical application

Discusses the role of physical intuition in solution assessment

Abstract

Numerical optimization for the inverse design of photonic structures is a tool which is providing increasingly convincing results -- even though the wave nature of problems in photonics makes them particularly complex. In the meantime, the field of global optimization is rapidly evolving but is prone to reproducibility problems, making it harder to identify the right algorithms to use. This paper is thought as a tutorial on global optimization for photonic problems. We provide a general background on global optimization algorithms and a rigorous methodology for a physicist interested in using these tools -- especially in the context of inverse design. We suggest algorithms and provide explanations for their efficiency. We provide codes and examples as an illustration than can be run online, integrating quick simulation code and Nevergrad, a state-of-the-art benchmarking library. Finally, we show how physical intuition can be used to discuss optimization results and to determine whether the solutions are satisfactory or not.