Rethink of impedance matching for traveling wave electro-optic modulators

Conventional design paradigms for traveling-wave electro-optic modulators (EOMs) traditionally require strict impedance matching. Yet practical ultra-broadband EOMs often employ terminal loads different from 50 Ω, suggesting this criterion warrants re-evaluation. This work revisits the impedance matching principles for traveling-wave EOMs using equivalent transmission-line models and numerical simulations. It is shown that employing a slightly low terminal impedance purposefully suppresses near-DC voltage build-up, which flattens the overall electro-optic response and artificially extends the 3-dB bandwidth without degrading high-frequency performance. Conversely, utilizing a moderately low source impedance maximizes the actual modulation voltage swing across the electrodes, which is beneficial for achieving better modulation depth. Experimental validations on 6-mm thin-film lithium niobate (TFLN) Mach-Zehnder modulators (MZMs) reveal that integrating a 36.3 Ω on-chip terminal resistor expands the 3-dB bandwidth from 68 GHz (with a 50 Ω external load) to 107 GHz. Despite this apparent enhancement, OOK transmission performance remains unchanged up to 120 Gbaud, with negligible variation in symbol error rate (SER). These results indicate that classical conjugate-matching-based RF design rules do not directly translate to optimal EO bandwidth performance, and instead suggest a co-optimization framework for electrode impedance and RF driver design in ultra-broadband EOM systems.

Authors

Institutions

Publication Details

Journal
Optics Communications
Published
2026-10-13
DOI
https://doi.org/10.1016/j.optcom.2026.133867
Primary Topic
Photorefractive and Nonlinear Optics
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Rethink of impedance matching for traveling wave electro-optic modulators

Binfeng Yun, Wanghua Zhu, 胡国华 Guohua Hu, 牛宏胜 Niu Hongsheng et al.
Optics Communications
Photorefractive and Nonlinear Optics
article

Rethink of impedance matching for traveling wave electro-optic modulators

Binfeng Yun, Wanghua Zhu, 胡国华 Guohua Hu, 牛宏胜 Niu Hongsheng, Chen Guo, renxuan liu, Lei Zhou, Qichao Wang, Jin Wang, Yifei Chen
article en

Abstract

Conventional design paradigms for traveling-wave electro-optic modulators (EOMs) traditionally require strict impedance matching. Yet practical ultra-broadband EOMs often employ terminal loads different from 50 Ω, suggesting this criterion warrants re-evaluation. This work revisits the impedance matching principles for traveling-wave EOMs using equivalent transmission-line models and numerical simulations. It is shown that employing a slightly low terminal impedance purposefully suppresses near-DC voltage build-up, which flattens the overall electro-optic response and artificially extends the 3-dB bandwidth without degrading high-frequency performance. Conversely, utilizing a moderately low source impedance maximizes the actual modulation voltage swing across the electrodes, which is beneficial for achieving better modulation depth. Experimental validations on 6-mm thin-film lithium niobate (TFLN) Mach-Zehnder modulators (MZMs) reveal that integrating a 36.3 Ω on-chip terminal resistor expands the 3-dB bandwidth from 68 GHz (with a 50 Ω external load) to 107 GHz. Despite this apparent enhancement, OOK transmission performance remains unchanged up to 120 Gbaud, with negligible variation in symbol error rate (SER). These results indicate that classical conjugate-matching-based RF design rules do not directly translate to optimal EO bandwidth performance, and instead suggest a co-optimization framework for electrode impedance and RF driver design in ultra-broadband EOM systems.

Optics CommunicationsVol. 623
Southeast University (CN)
National Natural Science Foundation of China, Ministry of Science and Technology of the People's Republic of China
Openalex Percentile: Top 19%
Photorefractive and Nonlinear Optics
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.