Demonstration of reconfigurable and tunable all-optical matrix-vector multiplication using nonlinear wave mixing
- 10 June 2025
- journal article
- Published by Optica Publishing Group in Optics Letters
- Vol. 50 (12) , 4018-4021
Abstract
Recent interest has grown in processing matrix operations within the optical domain due to its potential advantages in bandwidth, latency, and parallelism. While optical implementations of matrix-vector multiplication (MVM) have been demonstrated, they still partially rely on the electronic domain to perform the matrix operation. In this paper, we demonstrate MVM using nonlinear wave mixing, enabling the matrix operation to be performed in the optical domain. Each column of the matrix is modulated onto different subcarriers, in which the column elements are serialized in time. The vector elements are encoded onto separate CW tones at different wavelengths. The MVM operation is carried out using nonlinear wave mixing in a single periodically poled lithium niobate waveguide, in which the elements of the output vector are serialized in time. We show MVM at two different clock rates (3 and 5 GHz) and for different input vectors. The resulting output vectors have error standard deviations of 2.89–3.55%, corresponding to 4.8–5.1 bits of precision.Keywords
Funding Information
- Defense Advanced Research Projects Agency (HR001120C0174, HR001120C0088)
This publication has 22 references indexed in Scilit:
- Single-chip photonic deep neural network with forward-only trainingNature Photonics, 2024
- Higher-dimensional processing using a photonic tensor core with continuous-time dataNature Photonics, 2023
- The physics of optical computingNature Reviews Physics, 2023
- Deep learning with coherent VCSEL neural networksNature Photonics, 2023
- An on-chip photonic deep neural network for image classificationNature, 2022
- Photonic matrix multiplication lights up photonic accelerator and beyondLight: Science & Applications, 2022
- Parallel convolutional processing using an integrated photonic tensor coreNature, 2021
- Integrated microwave photonicsNature Photonics, 2019
- Neuromorphic photonic networks using silicon photonic weight banksScientific Reports, 2017
- Deep learning with coherent nanophotonic circuitsNature Photonics, 2017