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Silicon-Based Nonlinear Optical Signal Processing
Author(s): Jian Wang; Yun Long
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Book Description

This Spotlight reviews the recent progress in chip-scale optical signal processing based on silicon photonics platforms. Topics include wavelength conversion and signal regeneration based on degenerate four-wave mixing (FWM) in a silicon waveguide; two types of wavelength conversion via amplitude modulation; four-level pulse amplitude modulation (PAM-4) signal regeneration; high-speed optical binary logic and high-base computing; and hybrid computing functions. The book describes how to implement an optical data exchange based on the parametric depletion effect of a non-degenerate FWM process. The role of resonant structures and graphene in silicon waveguide devices to enhance nonlinear interactions is also discussed.

Book Details

Date Published: 13 July 2018
Pages: 46
ISBN: 9781510621428
Volume: SL40

Table of Contents
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1 Introduction

2 Chip-Scale Wavelength Conversion and Signal Regeneration
2.1 Wavelength conversion of OFDM m-QAM signals
2.2 Wavelength conversion of multichannel Nyquist 16-QAM signals
2.3 Wavelength conversion of PAM-4 signals and its application in signal regeneration

3 Chip-Scale Optical Logic and Computing
3.1 Optical binary half-adder and half-subtracter
3.2 Optical quaternary addition/subtraction
3.3 Optical octal addition/subtraction
3.4 Optical hexadecimal addition/subtraction

4 Chip-Scale Optical Data Exchange

5 Chip-Scale Graphene/Silicon Optical Signal Processing

6 Discussion

7 Conclusion

Preface

To meet the increasing demand for higher-throughput data traffic, high-speed optical signal transmission is necessary, ranging from long-distance optical communication links to short-distance data centers and access networks, and even micro-/nanoscale chip-to-chip optical interconnects. Moreover, optical signal processing, especially chip-scale nonlinear optical signal processing based on photonic integeration platforms, is considered to be a crucial technology for next-generation data processing at network nodes to facilitate ultracompact, efficient, and low-power data management. In this Spotlight, we review the recent research progress in chip-scale optical signal processing based on silicon photonics platforms. First, we give a brief introduction of silicon photonics and nonlinear optical signal processing. Various nonlinear optical signal processing technologies are summarized. Second, we report wavelength conversion and signal regeneration based on degenerate four-wave mixing (FWM) in a silicon waveguide. Orthogonal frequency division multiplexing (OFDM) m-ary quadrature amplitude modulation (m-QAM) wavelength conversion and multichannel Nyquist 16-ary quadrature amplitude modulation (16-QAM) wavelength conversion are demonstrated. The use of a wavelength converter for four-level pulse amplitude modulation (PAM-4) signal regeneration is also demonstrated. Third, we present high-speed optical binary logic and high base computing using degenerate and non-degenerate FWM in a silicon-organic hybrid slot waveguide or a silicon waveguide. Optical binary half-adder/half-subtracter and two-/three-input quaternary/octal/hexadecimal hybrid computing functions are reported. Fourth, we propose and implement optical data exchange based on the parametric depletion effect of a non-degenerate FWM process in a silicon-organic hybrid slot waveguide. Fifth, we introduce resonant structure and graphene into silicon waveguide devices to enhance the nonlinear interactions. Enhanced FWM and its application in selective wavelength conversion are demonstrated. The obtained results of various chip-scale nonlinear optical signal processing indicate possible integration of diverse optical signal processing functions on a monolithic chip. Finally, we discuss the emerging applications of grooming silicon-based nonlinear optical signal processing.

Jian Wang
Yun Long
July 2018


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