Integrated Circuit Architectures for Photonic Computing

Photonic integrated circuits allow the computations required for artificial neural networks to be performed using light. By doing so, they obviate many of the challenges associated with electronic computers, paving the way to a new class of information processing hardware. Such hardware could help address the growing demand for machine learning and artificial intelligence in areas such as medical diagnosis, telecommunications, and high-performance and scientific computing. However, interfacing electronics are still required, at a minimum to control the photonic devices. This project researchers the microelectronic integrated circuits required to interface to photonic neural networks for computing. In collaboration with industry partners, the objective is to co-design the combined electronic/photonic neural network.

Faculty Supervisor:

Tony Chan Carusone

Student:

Partner:

Huawei Technologies Canada Co Ltd (Markham, ON)

Discipline:

Engineering

Sector:

Information and cultural industries; Professional, scientific and technical services

University:

University of Toronto

Program: