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Classical and quantum photonics with superior properties can be implemented in a variety of old (silicon, silicon nitride) and new (silicon carbide, diamond) photonic materials by combining state of the art optimization and machine learning techniques (photonics inverse design) with new fabrication approaches. In addition to making photonics more robust to errors in fabrication and temperature, more compact, and more efficient, this approach is also crucial for enabling new photonics applications, such as on chip laser driven particle accelerators, and semiconductor quantum simulators.
The Distinguished Lecturer Series brings leading minds from all areas relevant to the science of light to MPL in Erlangen. It presents the unique opportunity for scientific exchange with the speakers to a broad audience.
The topics range from terahertz optics with graphene, over self-organising proteins to particle accelerators on a chip. One special highlight will be the talk of the Canadian optical physicist Donna Strickland, Nobel laureate of 2018.
All lectures will start at 15.00 CET and will be transmitted via stream. If you would like to attend, please register here for our DLS newsletter:
mpl.mpg.de/new...
You will then receive the link for the zoom conference by e-mail shortly before the presentation.
Click here for an overview of all the lectures:
mpl.mpg.de/new...
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