Quantized Inverse Design for Photonic Integrated Circuits

Frederik Schubert; Yannik Mahlau; Konrad Bethmann; Fabian Hartmann; Reinhard Caspary; Marco Munderloh; Jörn Ostermann; Bodo Rosenhahn

doi:10.1021/acsomega.4c10958

Quantized Inverse Design for Photonic Integrated Circuits

Frederik Schubert^*, Yannik Mahlau^*, Konrad Bethmann, Fabian Hartmann, Reinhard Caspary, Marco Munderloh, Jörn Ostermann, Bodo Rosenhahn

^*Corresponding author for this work

Research output: Contribution to journal › Article › Research › peer review

Abstract

The inverse design of photonic integrated circuits (PICs) presents distinctive computational challenges, including their large memory requirements. Advancements in the two-photon polymerization (2PP) fabrication process introduce additional complexity, necessitating the development of more flexible optimization algorithms to enable the creation of multimaterial 3D structures with unique properties. This paper presents a memory efficient reverse-mode automatic differentiation framework for finite-difference time-domain (FDTD) simulations that can handle complex constraints arising from novel fabrication methods. Our method is based on straight-through gradient estimation that enables nondifferentiable shape parametrizations. We demonstrate the effectiveness of our approach by creating increasingly complex structures to solve the coupling problems in PICs. The results highlight the potential of our method for future PIC design and practical applications.

Original language	English
Pages (from-to)	5080-5086
Number of pages	7
Journal	ACS Omega
Volume	10
Issue number	5
E-pub ahead of print	27 Jan 2025
DOIs	https://doi.org/10.1021/acsomega.4c10958 https://doi.org/10.48550/arXiv.2407.10273
Publication status	Published - 11 Feb 2025

Keywords

physics.optics
physics.comp-ph

ASJC Scopus subject areas

General Chemistry
General Chemical Engineering

Access to Document

10.1021/acsomega.4c10958Licence: CC BY 4.0
10.48550/arXiv.2407.10273Licence: Arxiv nonexclusive-distrib 1.0

Cite this

@article{26ccb6d608b04e8889018218f7e485c8,

title = "Quantized Inverse Design for Photonic Integrated Circuits",

abstract = "The inverse design of photonic integrated circuits (PICs) presents distinctive computational challenges, including their large memory requirements. Advancements in the two-photon polymerization (2PP) fabrication process introduce additional complexity, necessitating the development of more flexible optimization algorithms to enable the creation of multimaterial 3D structures with unique properties. This paper presents a memory efficient reverse-mode automatic differentiation framework for finite-difference time-domain (FDTD) simulations that can handle complex constraints arising from novel fabrication methods. Our method is based on straight-through gradient estimation that enables nondifferentiable shape parametrizations. We demonstrate the effectiveness of our approach by creating increasingly complex structures to solve the coupling problems in PICs. The results highlight the potential of our method for future PIC design and practical applications.",

keywords = "physics.optics, physics.comp-ph",

author = "Frederik Schubert and Yannik Mahlau and Konrad Bethmann and Fabian Hartmann and Reinhard Caspary and Marco Munderloh and J{\"o}rn Ostermann and Bodo Rosenhahn",

note = "Publisher Copyright: {\textcopyright} 2025 The Authors. Published by American Chemical Society.",

year = "2025",

month = feb,

day = "11",

doi = "10.1021/acsomega.4c10958",

language = "English",

volume = "10",

pages = "5080--5086",

journal = "ACS Omega",

issn = "2470-1343",

publisher = "American Chemical Society",

number = "5",

}

TY - JOUR

T1 - Quantized Inverse Design for Photonic Integrated Circuits

AU - Schubert, Frederik

AU - Mahlau, Yannik

AU - Bethmann, Konrad

AU - Hartmann, Fabian

AU - Caspary, Reinhard

AU - Munderloh, Marco

AU - Ostermann, Jörn

AU - Rosenhahn, Bodo

PY - 2025/2/11

Y1 - 2025/2/11

N2 - The inverse design of photonic integrated circuits (PICs) presents distinctive computational challenges, including their large memory requirements. Advancements in the two-photon polymerization (2PP) fabrication process introduce additional complexity, necessitating the development of more flexible optimization algorithms to enable the creation of multimaterial 3D structures with unique properties. This paper presents a memory efficient reverse-mode automatic differentiation framework for finite-difference time-domain (FDTD) simulations that can handle complex constraints arising from novel fabrication methods. Our method is based on straight-through gradient estimation that enables nondifferentiable shape parametrizations. We demonstrate the effectiveness of our approach by creating increasingly complex structures to solve the coupling problems in PICs. The results highlight the potential of our method for future PIC design and practical applications.

AB - The inverse design of photonic integrated circuits (PICs) presents distinctive computational challenges, including their large memory requirements. Advancements in the two-photon polymerization (2PP) fabrication process introduce additional complexity, necessitating the development of more flexible optimization algorithms to enable the creation of multimaterial 3D structures with unique properties. This paper presents a memory efficient reverse-mode automatic differentiation framework for finite-difference time-domain (FDTD) simulations that can handle complex constraints arising from novel fabrication methods. Our method is based on straight-through gradient estimation that enables nondifferentiable shape parametrizations. We demonstrate the effectiveness of our approach by creating increasingly complex structures to solve the coupling problems in PICs. The results highlight the potential of our method for future PIC design and practical applications.

KW - physics.optics

KW - physics.comp-ph

UR - http://www.scopus.com/inward/record.url?scp=85216201891&partnerID=8YFLogxK

U2 - 10.1021/acsomega.4c10958

DO - 10.1021/acsomega.4c10958

M3 - Article

SN - 2470-1343

VL - 10

SP - 5080

EP - 5086

JO - ACS Omega

JF - ACS Omega

IS - 5

ER -

Quantized Inverse Design for Photonic Integrated Circuits

Abstract

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

PhoenixD: Cluster of Excellence 2122/1: Photonics, Optics, and Engineering – Innovation Across Disciplines

Cite this

Quantized Inverse Design for Photonic Integrated Circuits

Abstract

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Projects

PhoenixD: Cluster of Excellence 2122/1: Photonics, Optics, and Engineering – Innovation Across Disciplines

Cite this