Optical Matrix

Optical matrix multipliers are photonic devices designed to perform matrix-vector multiplications, a fundamental operation in machine learning, with significantly improved speed and energy efficiency compared to electronic counterparts. Current research focuses on optimizing these devices, employing architectures based on Mach-Zehnder interferometers and microring resonators, and utilizing data-driven models (including neural networks and transfer learning techniques) to address challenges like calibration and the impact of manufacturing imperfections. This work aims to improve the accuracy, efficiency, and scalability of optical computing for applications such as accelerating deep neural network inference, ultimately impacting the energy consumption and performance of artificial intelligence systems.