The connectivity of current optical chips has been revolutionised, and a wafer thin slice of silicon has replaced cumbersome 3D-optics! In research led by Monash and RMIT Universities in Melbourne, a sophisticated photonic integrated circuit establishes bridges between data superhighways.
This photonic chip has the potential to accelerate artificial intelligence development on a worldwide scale and offers important real-world applications like:
Safer autonomous vehicles that can quickly understand their environment.
Enabling AI to identify medical issues more quickly.
Increasing the speed of natural language processing for apps like Google Homes, Alexa, and Siri
Smaller switches for quicker reconfiguration of the optical networks that carry our internet.
The exciting part about this chip is that it is self-calibrating! “We have demonstrated a self-calibrating programmable photonic filter chip, featuring a signal processing core and an integrated reference path for self-calibration,” explains the project’s lead investigator, Monash University ARC Laureate Fellow Professor Arthur Lowery.
“Self-calibration is significant because it makes tunable photonic integrated circuits useful in the real world; applications include optical communications systems that switch signals to destinations based on their colour, very fast computations of similarity (correlators), scientific instrumentation for chemical or biological analysis, and even astronomy. Electronics saw similar improvements in the stability of radio filters using digital techniques, that led to many mobiles being able to share the same chunk of spectrum: our optical chips have similar architectures, but can operate on signals with Terahertz bandwidths,” he adds.The connectivity of current optical chips has been revolutionised, and a wafer thin slice of silicon has replaced cumbersome 3D-optics! In research led by Monash and RMIT Universities in Melbourne, a sophisticated photonic integrated circuit establishes bridges between data superhighways.
This photonic chip has the potential to accelerate artificial intelligence development on a worldwide scale and offers important real-world applications like:
Safer autonomous vehicles that can quickly understand their environment.
Enabling AI to identify medical issues more quickly.
Increasing the speed of natural language processing for apps like Google Homes, Alexa, and Siri
Smaller switches for quicker reconfiguration of the optical networks that carry our internet.
The exciting part about this chip is that it is self-calibrating! “We have demonstrated a self-calibrating programmable photonic filter chip, featuring a signal processing core and an integrated reference path for self-calibration,” explains the project’s lead investigator, Monash University ARC Laureate Fellow Professor Arthur Lowery.
“Self-calibration is significant because it makes tunable photonic integrated circuits useful in the real world; applications include optical communications systems that switch signals to destinations based on their colour, very fast computations of similarity (correlators), scientific instrumentation for chemical or biological analysis, and even astronomy. Electronics saw similar improvements in the stability of radio filters using digital techniques, that led to many mobiles being able to share the same chunk of spectrum: our optical chips have similar architectures, but can operate on signals with Terahertz bandwidths,The connectivity of current optical chips has been revolutionised, and a wafer thin slice of silicon has replaced cumbersome 3D-optics! In research led by Monash and RMIT Universities in Melbourne, a sophisticated photonic integrated circuit establishes bridges between data superhighways.” he adds.
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