The Laboratory of Intelligent and Quantum Photonics is within the Ming Hsieh Department of Electrical and Computer Engineering. Our research focuses on new optical computing architectures and neuromorphic devices for low-energy and high-density computing, leveraging the power of light with large bandwidth and low loss in data movement. Beyond computing, our expertises in ultrafast optics, laser interferometry and integrated optics are exploited for molecular sensing, parallel light detection and ranging (Lidar), and volumetric imaging, with significant improvements in acquisition speed, sensitivity, accuracy, and resolving power, etc.
Jan 31, 2023 – Zaijun received the 2023 SPIE OPTO AI/ML Best Paper Award for the work “Deep Learning with Coherent VCSEL Neural Networks“.
Oct. 24, 2022 – Zaijun Chen gave a talk entitled “Large-scale optical neural network with VCSEL arrays“ at the conference of Coherent Network Computing 2022, Stanford University.
Oct. 20, 2022 – our work “Delocalized photonic deep learning on the internet’s edge” is published in Science, see highlights in MIT news.
July 07, 2022 – our work on “Coherent VCSEL Network Computing” was presented in the post-deadline section at 27th OptoElectronics and Communications Conference (OECC) and 2022 International Conference on Photonics in Switching and Computing (PSC), Japan (2022)