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Hardware Error Correction for MZI-Based Matrix Computation.

Huihuang Hou1,2, Pengfei Xu3, Zhiping Zhou3,4

  • 1Key Laboratory of Optoelectronic Materials Chemistry and Physics, Fujian Institute of Research on the Structure of Matter, Chinese Academy of Sciences, Fuzhou 350002, China.

Micromachines
|May 27, 2023
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Summary
This summary is machine-generated.

Silicon-based optoelectronic computation using Mach-Zehnder interferometers (MZI) offers a path to faster artificial intelligence. This study identifies MZI hardware errors and proposes a novel architecture to significantly enhance computational precision for improved optoelectronic systems.

Keywords:
Mach–Zehnder interferometerhardware error correctionmatrix computation

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Area of Science:

  • Optoelectronics
  • Silicon Photonics
  • Artificial Intelligence Hardware

Background:

  • Electronic systems face computational speed limitations with advancing artificial intelligence.
  • Silicon-based optoelectronic computation, particularly Mach-Zehnder interferometer (MZI)-based matrix computation, is a promising alternative.
  • Precision concerns in MZI computation hinder its widespread adoption.

Purpose of the Study:

  • Identify primary hardware error sources in MZI-based matrix computation.
  • Review existing hardware error correction strategies for MZI devices and meshes.
  • Propose a new architecture to enhance MZI computation precision without increasing device footprint.

Main Methods:

  • Analysis of hardware error sources in Mach-Zehnder interferometer (MZI) devices.
  • Literature review of error correction techniques for MZI-based optoelectronic systems.
  • Development and simulation of a novel MZI architecture for improved matrix computation.

Main Results:

  • Detailed identification of key hardware error contributors in MZI computation.
  • Comprehensive summary of current error mitigation approaches.
  • A proposed architecture demonstrating significant precision enhancement potential.

Conclusions:

  • Addressing hardware errors is crucial for realizing accurate MZI-based optoelectronic computation.
  • The proposed architecture offers a viable solution for high-precision matrix operations.
  • This advancement paves the way for faster and more accurate AI systems.