ITO Mach-Zehnder Modulator on Si

Amin, Rubab; Maiti, Rishi; Carfano, Caitlin; Ma, Zhizhen; Tahersima, Mohammad H.; Lilach, Yigal; Ratnayake, Dilan; Dalir, Hamed; Sorger, Volker J.

doi:10.1364/cleo_at.2019.jth2a.45

Cited by 4 publications

(2 citation statements)

References 6 publications

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“…A recent paper reported indium tin oxide (ITO) based modulator giving a V p L of 0.059 VÁcm, but with a loss over 33 dB. 32 The modulator presented here has therefore significant advantage compared to a non-MEMS based modulator in this metric. Due to an exponential decay of the optical field from the waveguide, the phase sensitivity improves with smaller gaps.…”

mentioning

confidence: 90%

Low-voltage MEMS optical phase modulators and switches on a indium phosphide membrane on silicon

Liu

Pagliano

Veldhoven

et al. 2019

Applied Physics Letters

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mentioning

confidence: 90%

Low-voltage MEMS optical phase modulators and switches on a indium phosphide membrane on silicon

Liu

Pagliano

Veldhoven

et al. 2019

Applied Physics Letters

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“…Typical integrated optical systems include generation [1][2][3][4], coupling , splitting , modulation [82][83][84][85][86][87][88][89][90][91][92][93][94][95][96][97][98], and detection [99][100][101][102] of photons. Among them, on-chip beam splitting is not only the key link of photon propagation, but also an important part of integrated devices such as Mach Zehnder interferometer (MZI) [103,104] and microcavity [105][106][107]. It is closely related to the efficient utilization of sources and low loss propogation.…”

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confidence: 99%

Methods and applications of on-chip beam splitting: A review

Tian

Meng

et al. 2022

Front. Phys.

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The construction of large-scale integrated photonic circuit cannot be separated from the important role played by silicon-based optoelectronic devices. As a basic and important link in on-chip photon propagation, beam splitting is of great significance for the efficient utilization of sources and the compact integration of optoelectronic devices. It is widely used in power splitting, polarization separation, wavelength division multiplexing and other scenarios. This paper reviews the on-chip beam splitting methods in recent years, which are mainly divided into the following categories: y-branch, multimode interference coupling, directional coupling, and inverse design. This paper introduces their research status, including optimization design methods, functions and applications in large-scale quantum chips and optoelectronic hybrid integration, looking forward to providing a reference for the further research of beam splitting methods and the wide application of beam splitters in the frontier field in the future.

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High-performance optoelectronics for integrated photonic neural networks

Thomaschewski

Nouri

et al. 2023

AI and Optical Data Sciences IV

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Integrated optoelectronic devices represents a fundamental building block of hardware accelerators for photonics neural networks. Nanophotonic electro-optic modulators and detectors have significant performance advantages in power efficiency, communication bandwidth, and parallelism compared to conventional free-space photonics. Here, we present strategies and experimental validations of novel high-performance nanophotonic opto-electronic devices, involving heterogeneous integration of emerging materials into silicon photonic integrated circuits to exploit new functionality and device-scaling laws for efficient and ultrafast modulators, detectors, and photonic nonvolatile memory. The optoelectronic implementations of neural networks are demonstrated which significantly extends the spectrum of information processing capabilities.

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ITO Mach-Zehnder Modulator on Si

Cited by 4 publications

References 6 publications

Low-voltage MEMS optical phase modulators and switches on a indium phosphide membrane on silicon

Low-voltage MEMS optical phase modulators and switches on a indium phosphide membrane on silicon

Methods and applications of on-chip beam splitting: A review

High-performance optoelectronics for integrated photonic neural networks

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