Photo of Lin Chang

Artificial intelligence & robotics

Lin Chang

Providing solutions to performance bottlenecks in photonic chips for computing, communication, and sensing.

Year Honored
2023

Organization
Peking University

Region
China

Hails From
China
Lin Chang’s main research direction is integrated optics. Through developing heterogenous integration technology based on wafer bonding and low-loss waveguide processes compatible with various materials, he has broken the limitation of material types integrated on photonic chips, increasing the number of materials that can be integrated on a single chip to more than four​.

This technology enables the full integration of different functional components in optical systems, greatly enhancing the integration of photonic chips. Based on this platform, Lin proposed new on-chip light source structures. Through the self-injection locking mechanism between different materials, ultra-narrow linewidth integrated lasers and microcomb were achieved, significantly reducing the noise of on-chip light sources and enhancing parallelism​.

Based on the multi-material integrated photonic chip platform technology, Lin achieved large-scale parallel photonic chip systems, addressing the bottleneck of information processing efficiency in traditional photonic chips. In data center optical modules, using microcombs as multi-channel light sources to replace traditional lasers, he increased the number of channels in the optical module to 20, achieving a total rate of 2T/s, more than five times higher than previous levels.

Lin and his collaborator also explored parallel computation based on photonic chips, achieving a fully chip-based optical processor for convolutional neural networks with a computing density of 1 TOPS mm-2, providing a potential solution for the large-scale production and popularization of future optical computing. Additionally, he actively promotes the application of multi-material photonic chip-related technologies.