On-Chip Integration of GaN-Based Laser, Modulator, and Photodetector Grown on Si

Feng, Meixin; Wang, Jin; Zhou, Rui; Sun, Qian; Gao, Hongwei; Zhou, Yu; Liu, Jianxun; Huang, Yinbo; Zhang, Shuming; Ikeda, Masao; Wang, Huaibing; Zhang, Yuantao; Wang, Yongjin; Yang, Hui

doi:10.1109/jstqe.2018.2815906

Cited by 73 publications

(35 citation statements)

References 25 publications

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“…Data processing on photonic platforms is a promising approach because of the potential advantages over electrical approaches, where large bandwidth, high efficiency, ultrafast modulation speed, and low cross talk are crucial [4]. Critical photonic components, such as lasers [5], modulators [6], switches [7], filters [8], multiplexers [9,10], photodetectors [11][12][13][14][15], and memory cells, have been developed on different material platforms, such as silicon nitride (SiN), GeSi, III-V semiconductors, and others [16][17][18], with silicon-on-insulator (SOI) being the dominant platform. Furthermore, Si waveguides, owing to their thermal conductivity performance, have the potential to be doped to act as integrated heaters to enable wider applications [19].…”

Section: Introductionmentioning

confidence: 99%

Experimental investigation of silicon and silicon nitride platforms for phase-change photonic in-memory computing

Li¹,

Youngblood²,

Cheng³

et al. 2020

Optica

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Advances in artificial intelligence have greatly increased demand for data-intensive computing. Integrated photonics is a promising approach to meet this demand in big-data processing due to its potential for wide bandwidth, high speed, low latency, and low-energy computing. Photonic computing using phase-change materials combines the benefits of integrated photonics and co-located data storage, which of late has evolved rapidly as an emerging area of interest. In spite of rapid advances of demonstrations in this field on both silicon and silicon nitride platforms, a clear pathway towards choosing between the two has been lacking. In this paper, we systematically evaluate and compare computation performance of phase-change photonics on a silicon platform and a silicon nitride platform. Our experimental results show that while silicon platforms are superior to silicon nitride in terms of potential for integration, modulation speed, and device footprint, they require trade-offs in terms of energy efficiency. We then successfully demonstrate single-pulse modulation using phase-change optical memory on silicon photonic waveguides and demonstrate efficient programming, memory retention, and readout of > 4 bits of data per cell. Our approach paves the way for in-memory computing on the silicon photonic platform. Published by The Optical Society under the terms of the Creative Commons Attribution 4.0 License. Further distribution of this work must maintain attribution to the author(s) and the published article's title, journal citation, and DOI.

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Section: Introductionmentioning

confidence: 99%

Experimental investigation of silicon and silicon nitride platforms for phase-change photonic in-memory computing

Li¹,

Youngblood²,

Cheng³

et al. 2020

Optica

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“…[321]. Most demonstrations of integrated modulators have focused on performance at IR wavelengths; however, a number of the modulator material systems that have been explored are transmissive in the UV-tovisible wavelength range, for instance, SiN [335,336], InGaN/GaN [337], AlN [328,338], and LiNbO 3 [339][340][341]. Whatever the most promising materials may be, we anticipate that this switch technology will be under widespread and rapid development over the next few years given the crucial role switching plays in trapped-ion control.…”

Section: B Integrated Photonics For Light Deliverymentioning

confidence: 99%

Trapped-ion quantum computing: Progress and challenges

Bruzewicz

Chiaverini

McConnell

et al. 2019

Applied Physics Reviews

1,105

644

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Trapped ions are among the most promising systems for practical quantum computing (QC). The basic requirements for universal QC have all been demonstrated with ions and quantum algorithms using few-ion-qubit systems have been implemented. We review the state of the field, covering the basics of how trapped ions are used for QC and their strengths and limitations as qubits. In addition, we discuss what is being done, and what may be required, to increase the scale of trapped ion quantum computers while mitigating decoherence and control errors. Finally, we explore the outlook for trapped-ion QC. In particular, we discuss near-term applications, considerations impacting the design of future systems of trapped ions, and experiments and demonstrations that may further inform these considerations. CONTENTS

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“…77,78) The monolithic integration of edge-emitting laser diodes together with modulators, amplifiers, and detectors forming a twosection device, has recently been investigated. Such on-chip integration offers many advantages, including small footprint, high speed, and low power consumption.…”

Section: Integrated Photonics For Visible Light Communicationsmentioning

confidence: 99%

Light based underwater wireless communications

Oubei

Shen

Kammoun

et al. 2018

Jpn. J. Appl. Phys.

120

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Underwater wireless optical communication (UWOC) is a wireless communication technology that uses visible light to transmit data in underwater environment. Compared to radio-frequency (RF) and acoustic underwater techniques, UWOC has many advantages including large information bandwidth, unlicensed spectrum and low power requirements. This review paper provides an overview of the latest UWOC research. Additionally, we present a detailed description of transmitter and receiver technologies which are key components of UWOC systems. Moreover, studies investigating underwater optical channel models for both simple attenuation and the impact of turbulence including air bubbles and inhomogeneous salinity and temperature are also described. Future research challenges are identified and outlined.

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On-Chip Integration of GaN-Based Laser, Modulator, and Photodetector Grown on Si

Cited by 73 publications

References 25 publications

Experimental investigation of silicon and silicon nitride platforms for phase-change photonic in-memory computing

Experimental investigation of silicon and silicon nitride platforms for phase-change photonic in-memory computing

Trapped-ion quantum computing: Progress and challenges

Light based underwater wireless communications

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