Photonic chip enables faster and more energy-efficient artificial intelligence programs

The nodes in these systems can be separated by more than one kilometer. Since metal wires dissipate as heat when transferring data at high speeds, these systems transfer data via fiber-optic cables. Unfortunately, a lot of energy is wasted in the process of converting electrical data into optical data (and back again) as signals are sent from one node to another.

In a study published in Nature Photonics, researchers at Columbia Engineering demonstrate an energy-efficient method for transferring larger quantities of data over the fiber-optic cables that connect the nodes. This new technology improves on previous attempts to transmit multiple signals simultaneously over the same . Instead of using a different laser to generate each , the new chips require only a single laser to generate hundreds of distinct wavelengths of light that can simultaneously transfer independent streams of data.

A simpler, more energy-efficient method for data transfer

The millimeter-scale system employs a technique called wavelength-division multiplexing (WDM) and devices called Kerr frequency combs that take a single color of light at the input and create many new colors of light at the output. The critical Kerr frequency combs developed by Michal Lipson, Higgins Professor of Electrical Engineering and Professor of Applied Physics, and Alexander Gaeta, David M. Rickey Professor of Applied Physics and Materials Science and Professor of Electrical Engineering, allowed the researchers to send clear signals through separate and precise wavelengths of light, with space in between them.

Photonic integrated link driven by Kerr frequency comb. Credit: The Lightwave Research Laboratory/Columbia Engineering

Photonic Integrated Chip placed on a dime. Credit: Lightwave Research Laboratory/Columbia Engineering

Illustration of a disaggregated data center based on Kerr frequency comb-driven silicon photonic links. Credit: Lightwave Research Laboratory/Columbia Engineering