Conference Agenda

Topical Meetings and Sessions:

TOM 1 - Silicon Photonics and Guided-Wave Optics
TOM 2 - Computational, Adaptive and Freeform Optics
TOM 3 - Optical System Design, Tolerancing and Manufacturing
TOM 4 - Bio-Medical Optics
TOM 5 - Resonant Nanophotonics
TOM 6 - Optical Materials: crystals, thin films, organic molecules and polymers, syntheses, characterization and devices
TOM 7 - Thermal radiation and energy management
TOM 8 - Nonlinear and Quantum Optics
TOM 9 - Optics at Nanoscale (ONS)
TOM 10 - Optical Microsystems (OMS)
TOM 11 - Waves in Complex Photonic Media
TOM 12 - Optofluidics
TOM 13 - Ultrafast Optical Technologies and Applications
TOM 14 - Advances and Applications of Optics and Photonics
EU Project Session
Early Stage Researcher Session organised by SIOF
Grand Challenges of Photonics Session

More information on the Topical Meetings

Select a date or location to show only sessions at that day or location. Select a single session for detailed view (with abstracts and downloads when you are logged in as registered attendee). Plenary speeches, tutorials, and Early Researcher session will be updated very soon. Thank you for your patience!

Session Overview
TOM1 S01: Silicon Photonics and Guided-Wave Optics: Theory and optimisation
Wednesday, 15/Sept/2021:
16:15 - 18:15

Session Chair: Graham Trevor Reed, University of Southampton, United Kingdom
Location: Aula 17

1st Floor

Session Abstract

16:15 - 17:00
Special Invited
ID: 474 / TOM1 S01: 1
TOM 1 Silicon Photonics and Guided-Wave Optics

Optical physics does digital optimization—which we call Onsager computing-- for machine learning, control theory, backpropagation, etc.

Eli Yablonovitch, Srikrishna Vadlamani


Optimization is vital to Engineering, Artificial Intelligence, and to many areas of Science. Mathematically, we usually employ steepest-descent, or other digital algorithms. But, Physics itself, performs optimizations in the normal course of dynamical evolution. Nature provides us with the following optimization principles:

1. The Principle of Least Action;

2. The Variational Principle of Quantum Mechanics;

3. The Principle of Minimum Entropy Generation;

4. The First Mode to Threshold method;

5. The Principle of Least Time;

6. The Adiabatic Evolution method;

7. Quantum Annealing

17:00 - 17:30
ID: 299 / TOM1 S01: 2
TOM 1 Silicon Photonics and Guided-Wave Optics

High-performance photonic integrated devices with machine learning and optimization

Daniele Melati1, Mohsen Kamandar Dezfouli2, Yuri Grinberg2, Muhammad Al-Digeil2, Dan-Xia Xu2, Jens H. Schmid2, Pavel Cheben2, Abi Waqas3, Paolo Manfredi4, Jianhao Zhang1, Laurent Vivien1, Carlos Alonso-Ramos1

1Centre for Nanosciences and Nanotechnology, CNRS, Université Paris-Saclay, France; 2National Research Council Canada, Canada; 3Department of Telecommunication, Mehran University of Engineering and Technology, Pakistan; 4Department of Electronics and Telecommunications, Politecnico di Torino, Italy

High performance and large-scale integration are driving the design of innovative photonic devices based on non-trivial shapes and metamaterials. In this scenario, the number of design parameters vastly increases and a strong correlation between them is often introduced. Moreover, multiple figures of merit must be considered simultaneously to evaluate the performance of the selected devices, e.g., losses, bandwidth, or tolerance to fabrication uncertainty. In this invited talk we will present our recent work on the use of machine learning and optimization tools for the design of high-performance photonic components.

17:30 - 17:45
ID: 152 / TOM1 S01: 3
TOM 1 Silicon Photonics and Guided-Wave Optics

Oscillator Finite-Difference Time-Domain (O-FDTD) electric field propagation model: integrated photonics and networks

Ricardo M. R. Adão, Manuel Caño-Garcia, Christian Maibohm, Bruno Romeira, Jana B. Nieder

INL -International Iberian Nanotechnology Laboratory, Portugal

We present Lorentz Oscillator Model inspired Oscillator Finite-Difference Time-Domain (O-FDTD) method. Our formulation results in a single field equation that is simpler than any previously proposed FDTD model. We demonstrate its accuracy by simulating several key integrated photonics components and validate this model against theoretical models, conventional FDTD simulations, and experimental observations. The model's broad applicability is demonstrated for (but not limited to) three contrasting realms: planar dielectric photonics city-wide propagating radiofrequency signals and for the first time to 3D optical waveguides, that may play a key role in neuromorphic photonic computation.

17:45 - 18:15
ID: 190 / TOM1 S01: 4
TOM 1 Silicon Photonics and Guided-Wave Optics

Silicon nitride photonic integrated circuit based concept for multi-channel swept-source OCT

Rainer Hainberger1, Stefan Nevlacsil1, Paul Muellner1, Jochen Kraft2, Martin Sagmeister2, Gerald Meinhardt2, Stefan Jessenig2, Desiree Rist2, Deborah Morecroft2, Nanko Verwaal3, Leonhard Klein3, Matthias Voelker3, Moises Jezzini4, Padraic Morrissey4, Peter O’Brien4, Marcus Duelk5, Stefan Gloor5, Stefan Richter6, Michael Kempe6, Elisabet Rank7, Wolfgang Drexler7

1AIT Austrian Institute of Technology GmbH, 1210 Vienna, Austria; 2ams AG, 8141 Premstätten, Austria; 3Fraunhofer-Institut für Integrierte Schaltungen IIS, 91058 Erlangen, Germany; 4Tyndall National Institute, University College Cork, T12 R5CP Cork, Ireland; 5EXALOS AG, 8952 Schlieren, Switzerland; 6Carl Zeiss AG, 07745 Jena, Germany; 7Medical University of Vienna, 1090 Vienna, Austria

We report the development of a silicon nitride photonic integrated circuit (PIC) for the realization of a compact four-channel swept-source optical coherence tomography (OCT) system for retinal diagnostics at 840 nm. A power efficient polarization-rotation based path routing scheme is employed combining an on-chip polarization beam splitter and a readily-available off-chip quarter wave plate. As a proof of concept of this polarization-rotation based path routing approach we implement a passive PIC-based single-channel swept source OCT system and show in-vivo measurements of a human retina.