Session Overview |
Wednesday, May 29 |
14:00 |
Integrated devices for application in quantum optics and photonic machine learning
Imtiaz Alamgir, Institut national de la recherche scientifique, Canada Luigi Di Lauro, Institut national de la recherche scientifique, Canada Stefania Sciara, Institut national de la recherche scientifique, Canada Abdul Rahim Aadhi, Institut national de la recherche scientifique, Canada Celine Mazoukh, Institut national de la recherche scientifique, Canada Hao Yu, Institut national de la recherche scientifique, Canada Bennet Fischer, Institut national de la recherche scientifique, Canada Nicolas Perron, Institut national de la recherche scientifique, Canada Nicola Montaut, Institut national de la recherche scientifique, Canada Mario Chemnitz, Institut national de la recherche scientifique, Canada Brent Little, QXP Technology, Inc, China (People's Republic of) Sai Tak Chu, City University of Hong Kong, China (People's Republic of) David J. Moss, Optical Sciences Centre, Swinburne University of Technology, Australia Zhiming Wang, Institute of Fundamental and Frontier Sciences, University of Electronic Science and Technology of China, China (People's Republic of) * Roberto Morandotti, Institut national de la recherche scientifique, Canada Integrated photonics is playing a crucial role in advancing emerging technologies for information processing, particularly in the fields of machine learning and quantum science. On-chip devices present viable solutions for performing high-speed simultaneous operations while offering reduced power consumption and compact footprints. In this work, we use integrated photonics to demonstrate highly efficient, intelligent, and secure classical signal processing and quantum communication at telecommunication regimes. |
14:25 |
Generation of entangled photon pairs in nanostructures
* Frank Setzpfandt, Friedrich Schiller University, Germany Photonic nanostructures offer unprecedented possibilities for tailoring the properties of light. This also applies to non-classical properties like entanglement. However, the theoretical description of the nonlinear generation of non-classical light in nanostructures is challenging. Here we will discuss a general theoretical model to describe photon-pair generation in nanoscale systems. Based on this, we demonstrate that already single resonant nanostructures can be versatile sources for entangled quantum states of light. |
14:50 |
Mie-resonant Huygens' metawaveguide structures
* M. Saad Bin-Alam, National Research Council Canada, Canada Yunus Denizhan Cirmaci, Friedrich-Schiller-University Jena, Germany Jianhao Zhang, National Research Council Canada, Canada Ozan William Oner, University of Ottawa, Canada Gabriel Flizikowski, University of Ottawa, Canada Shahrzad Ramtinfard, University of Ottawa, Canada Ksenia Dolgaleva, University of Ottawa, Canada Jens Schmid, National Research Council Canada, Canada Isabelle Staude, Friedrich-Schiller-University Jena, Germany Pavel Cheben, National Research Council Canada, Canada Subwavelength dielectric nanoantennas exhibit electric and magnetic Mie resonances, which allow local-field enhancement in nanoscale volume. In recent years, the resonant dielectric nanoantennas have become an essential building block for designing 2D metamaterials, i.e., metasurfaces to control free space light characteristics. Here, we show a 1D metamaterial incorporated in metawaveguide-based integrated photonic components consisting of the Huygens’ Mie-resonant nanoantennas to control the propagating guided light characteristics. |
15:15 |
TBC
* Mirwais Aktary, Applied Nanotools, Canada TBC |
15:40 |
Adjoint Variable Method Unleashed: A Journey into Rapid Inverse Design Strategies
* Mohamed A. Swillam, The American university in Cairo, Egypt This paper explores the transformative role of the Adjoint Variable Method (AVM) in rapid inverse design strategies, particularly in the context of metasurfaces and integrated photonics. The AVM, a gradient-based optimization technique, efficiently acquires sensitivity information for design optimization. Recent applications of the AVM in metasurface engineering are highlighted, showcasing its versatility and efficiency in addressing design challenges. |