Welcome to the Integrated OptoElectronics Group (IOER), where our dedication lies in advancing the field of
photonic integrated circuits (PICs). Our primary focus is on exploring advanced design approaches and
unlocking the vast potential of PICs in various domains, including optical communications, optical signal
processing and computing, optical I/O chiplets, photonic design automation, integrated photonic sensors, and
integrated lidar systems.
This work demonstrates an efficient and ultra-compact solution of mode multiplexer on silicon for few-mode
fibers. Eight spatial modes can be selectively excited including LP01, LP11a, LP11b and LP21b in the two
orthogonal polarizations, with experimental chip-to-fiber peak coupling efficiencies all above −5.5 dB. The
demonstrated design is very compact with a total on-chip footprint of <35×35 µm².
Wu Zhou, Zunyue Zhang, Hao Chen, Hon Ki Tsang, and Yeyu Tong,
"Ultra-compact and efficient integrated multichannel mode multiplexer in silicon for few-mode fibers",
Laser Photonics Rev 18, 2300460.
2024.
Leveraging photonic
integration and photonic computing acceleration, we proposed and demonstrated a scalable integrated
silicon photonic processor that enables high-capacity optical fiber communications using various fiber
spatial
modes.
Kaihang LU†, Zengqi CHEN†, Hao Chen†, Wu Zhou, Zunyue Zhang, Hon Ki Tsang, and Yeyu Tong,
"Empowering high-dimensional optical fiber communications with integrated photonic processors",
Nature Communications, 15, 3515,
2024.
This work demonstrates the use of a bi-level optimization algorithm to address the fabrication-constrained
inverse design.
A precise gradient of a desired figure of merit can be obtained, thereby eliminating the
need for
gradient estimation with robust convergence properties. We validate our
method through optimization tasks for various photonic integrated components. The optimized designs are also
fabricated and characterized in the experiment.
Hao Chen, Mingyuan Zhang, and Yeyu Tong,
"Always-Feasible Photonic Inverse Design with a Differentiable Conditional Design Generator",
ACS Photonics,
2024.