High-speed low-power neuromorphic photonic information processing with chaotic cavities

  • Danckaert, Jan (Administrative Promotor)
  • Bienstman, Peter, (Co-Promotor)

Project Details

Description

The human brain still outperforms digital computers in its flexibility and in its performance on pattern recognition tasks like image and speech recognition. Moreover, it is able to achieve this at very
modest power consumption levels, typically the power equivalent to a light bulb, whereas (super)computers require orders of magnitude more power. In this project, we want to take inspiration from the brain to build a novel class of computing system that is not only bio- inspired, but also uses light as the fundamental carrier of information, as opposed to electricity in current computers. Compared to electronics, photonics has the advantage that many physical effects can be extremely fast. Moreover, we will build our systems using the same mature mass-fabrication silicon technology that is used for computer chips, but now building chips that operate on light. All of
this opens up the potential to solve certain classes of problems (routing of internet signals, processing of medical images, ...) at very high speed, low power consumption and low cost
AcronymFWOAL960
StatusActive
Effective start/end date1/01/2031/12/23

Keywords

  • photonic
  • neuromorphic
  • computing

Flemish discipline codes

  • Machine learning and decision making
  • Nanophotonics