Photonic Accelerator

Photonic accelerators leverage the speed and energy efficiency of light to accelerate computationally intensive tasks, primarily focusing on deep neural network (DNN) inference and training. Current research emphasizes developing efficient architectures, such as those based on Mach-Zehnder interferometers and microring resonators, and optimizing algorithms to mitigate challenges like thermal sensitivity and hardware noise, including exploring sparse architectures and in-situ calibration techniques. This field holds significant promise for improving the performance and energy efficiency of AI applications, particularly in resource-constrained environments like edge computing, and for solving complex problems like partial differential equations.