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Related Experiment Video

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Generation and Coherent Control of Pulsed Quantum Frequency Combs

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Parallel photonic acceleration processor for matrix-matrix multiplication.

Ying Huang, Hengsong Yue, Wei Ma

|June 15, 2023

Summary

This summary is machine-generated.

We developed a photonic processor using wavelength division multiplexing (WDM) and Mach-Zehnder interferometers (MZI) for faster matrix multiplication. This optical computing approach achieved 90.5% accuracy on MNIST handwritten digit recognition.

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Area of Science:

Optics and Photonics
Computer Science
Artificial Intelligence

Background:

Matrix-matrix multiplication is fundamental to deep learning and AI.
Current electronic processors face limitations in speed and energy efficiency for large-scale computations.
Photonic computing offers a promising alternative for high-speed, low-power acceleration.

Purpose of the Study:

To propose and demonstrate a novel photonic acceleration processor for efficient matrix-matrix multiplication.
To leverage wavelength division multiplexing (WDM) and Mach-Zehnder interferometer (MZI) arrays for parallel optical computation.
To evaluate the performance of the proposed system in a real-world machine learning task.

Main Methods:

Utilized a wavelength division multiplexing (WDM) system for dimensional expansion.
Employed a non-coherent Mach-Zehnder interferometer (MZI) array for optical matrix multiplication.
Implemented a reconfigurable 8x8 MZI array to process a 2x2 arbitrary nonnegative valued matrix.
Tested the system on the Modified National Institute of Standards and Technology (MNIST) handwritten dataset for classification.

Main Results:

Successfully demonstrated matrix-matrix multiplication using the WDM-MZI photonic processor.
Achieved a high inference accuracy of 90.5% in a classification task.
Validated the effectiveness of the proposed architecture for accelerating computations.

Conclusions:

The developed photonic acceleration processor offers an effective solution for large-scale integrated optical computing.
WDM and MZI technologies are crucial for enabling high-performance optical matrix multiplication.
This approach paves the way for advanced convolution acceleration processors in optical systems.