School of Mathematical and Physical Sciences

EPic Laboratory

Emergent Photonics Laboratory

The Emergent Photonics Lab is a fertile research enviroment at the University of Sussex focused on the "emergent" photonic properties in complex nonlinear optical systems. The lab presently hosts the work of 17 researchers directed by Alessia Pasquazi and Marco Peccianti, the lab founders. In particular, the research staff now consists of three Post Doctoral researchers, seven PhD students and seven undergraduate research students. Research interests are split into two major directions, on integrated nonlinear photonic systems and their application in quantum technologies and in cutting edge Terahertz science. 

Emergent Photonics Laboratory (EPic), Dept. of Physics and Astronomy, Pevensey 2 4A20.

External Project-Specific Websites:

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OSA Student Chapter

osa chapter bannerThe Emergent Photonics Lab supports the established Optical Society of America Student Chapter at the University of Sussex. In collaboration with the Quantum Talks, short weekly seminars have been organised to encourage collaboration between research groups.

We welcome both internal and external students or staff who are interested in presenting, you can subscribe to the Quantum Talks here.

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Customizing supercontinuum generation via on-chip adaptive temporal pulse-splitting

20th November 2018
Nature Comms Ben FROG

Benjamin Wetzel, Maxwell Rowley, Alessia Pasquazi and Marco Peccianti have published an open access article in Nature Communications. 

Modern optical systems increasingly rely on complex physical processes that require accessible control to meet target performance characteristics. In particular, advanced light sources, sought for, for example, imaging and metrology, are based on nonlinear optical dynamics whose output properties must often finely match application requirements. However, in these systems, the availability of control parameters (e.g., the optical field shape, as well as propagation medium properties) and the means to adjust them in a versatile manner are usually limited. Moreover, numerically finding the optimal parameter set for such complex dynamics is typically computationally intractable. Here, we use an actively controlled photonic chip to prepare and manipulate patterns of femtosecond optical pulses that give access to an enhanced parameter space in the framework of supercontinuum generation. Taking advantage of machine learning concepts, we exploit this tunable access and experimentally demonstrate the customization of nonlinear interactions for tailoring supercontinuum properties.

More details can be found in the journal article itself or in the press release of the University of Sussex.