Perspective of high-speed Mach-Zehnder modulators based on nonlinear optics and complex band structures

Abstract

Optical modulators are essential building blocks for high-capacity optical communication and massively parallel computing. Among all types of optical modulators, travelling-wave Mach-Zehnder modulators (TW-MZMs) featuring high speed and efficiency are widely used, and have been developed on a variety of integrated material platforms. Existing methods to design and simulate TW-MZMs so far strongly rely on the peculiar material properties, and thus inevitably involve complicated electrical-circuit models. As a result, these methods diverge significantly. In addition, they become increasingly inefficient and inaccurate for TW-MZMs with extending length and levitating modulation speed, posing formidable challenges for millimeter-wave and terahertz operation. Here, we present an innovative perspective to understand and analyze high-speed TW-MZMs. Our perspective leverages nonlinear optics and complex band structures of RF photonic crystals, and is thus entirely electromagnetic-wave-based. Under this perspective, we showcase the design, optoelectronic simulation and experimental validation of high-speed TW-MZMs based on Si and LiNbO${}_3$, and further demonstrate unambiguous advantages in simplicity, accuracy and efficiency over conventional methods. Our approach can essentially be applied to nearly any integrated material platform, including those based on semiconductors and electro-absorption materials. With high-frequency electrode designs and optoelectronic co-simulation, our approach facilitates the synergy and convergence of electronics and photonics, and offers a viable route to constructing future high-speed millimeter-wave and terahertz photonics and quantum systems.

References in corpus (20)

• Deep Learning with Coherent Nanophotonic Circuits
• Parallel convolution processing using an integrated photonic tensor core
• All-optical signal processing platforms for CMOS compatible integrated nonlinear optics
• Photonics for artificial intelligence and neuromorphic computing
• Optical modulators with two-dimensional layered materials
• 11 TeraFLOPs per second photonic convolutional accelerator for deep learning optical neural networks
• High-Performance Hybrid Silicon and Lithium Niobate Mach-Zehnder Modulators for 100 Gbit/s and Beyond
• Universal Dynamics of Kerr Frequency Comb Formation in Microresonators
• Single-chip photonic deep neural network for instantaneous image classification
• Modeling of octave-spanning Kerr frequency combs using a generalized mean-field Lugiato-Lefever model
• Lithium niobate photonic-crystal electro-optic modulator
• Graphene Phase Modulator
• Lithium tantalate electro-optical photonic integrated circuits for high volume manufacturing
• High-order tensor flow processing using integrated photonic circuits
• Complex k band diagrams of 3D metamaterial/photonic crystals
• Entangling microwaves with optical light
• Nonlinear Integrated Microwave Photonics
• Ultrabroadband thin-film lithium tantalate modulator for high-speed communications
• Systematic Investigation of Millimeter-Wave Optic Modulation Performance in Thin-Film Lithium Niobate
• Lithium Niobate Michelson Interferometer Modulator on Silicon-On-Insulator Platform