Programmable Integrated Photonics with Phase-Change Materials

Phase-change materials (PCMs) have emerged as a promising platform to modulate light in a nonvolatile manner—a reversible switching between their stable amorphous and crystalline states leads to an impressive refractive index contrast (∆n, ∆k ~1−3). The last decade has seen a growing interest in such a combination of properties for a variety of nonvolatile programmable devices, such as metasurfaces, tunable filters, phase/amplitude modulators, color pixels, thermal camouflage, photonic memories/computing, plasmonics, etc.

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3D integration enabling ultra-low noise isolator-free lasers in silicon photonics

Laser integration in silicon photonics has been tackled by heterogeneous integration with compound III-V materials. The availability of ultra-low-loss silicon nitride waveguides offer the possibilities in enabling ultra low noise lasers, through self-injection locking of lasers with ultra-high-Q microresonators.

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Professor Jeremy Witzens, Chair of the European Conference on Integrated Optics 2024

Jeremy Witzens received the Engineering Diploma degree from Ecole Polytechnique, France, in 2000, and the M.S. and Ph.D. degrees in electrical engineering from the California Institute of Technology, USA, in 2001 and 2005. From 2006 to 2009, he was a Senior Staff Engineer with Luxtera Inc. and from 2009 to 2010 a Principal Research Scientist with the University of Washington, Seattle, USA.

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Does the world need general-purpose programmable photonics?

A presentation by invited speaker Wim Bogaerts, Professor in Silicon Photonics, Ghent University-IMEC / Founder, Luceda Photonics. HE graduated in engineering (applied physics) at Ghent University in June 1998. He joined the Photonics Research Group of Ghent University-IMEC for a PhD, building the design and technology foundations for IMEC’s first silicon photonics technology platform on 200mm CMOS tools. This led to collaborations with tens of partners, growing into a silicon photonics multi-project-wafer service in IMEC, eventually known as ePIXfab. To enable the design of these photonic chips, the PI and his group developed the software package IPKISS, a parametric design framework for photonic circuits.

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Silicon photonics neural networks in optical communications

Is the title of the presentation by invited speaker Lorenzo Pavesi, Full professor, Department of Physics, Università di Trento, Italy. s Professor of Experimental Physics at the Department of Physics of the University of Trento (Italy). Born the 21st of November 1961, he received his PhD in Physics in 1990 at the Ecole Polytechnique Federale of Lausanne (Switzerland). In 1990 he became Assistant Professor, an Associate Professor in 1999 and Full Professor in 2002 at the University of Trento.

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