Conference Agenda

Please note small changes to the agenda are still possible.

Read about the Topical Meetings and sessions of the conference

Select a date or location to show sessions only on that day or location.
Select a single session for a detailed view (with abstracts and downloads when you are logged in as a registered attendee).

 
Show MetadataAuthors
 
Session Overview
Session
FS Complex S1: Optics with Complex Wavefronts
Time:
Thursday, 28/Aug/2025:
8:30am - 10:00am

Session Chair: Allard Mosk, Utrecht University, Netherlands, The
 Location: Commissiekamer 2

Show help for 'Increase or decrease the abstract text size'
Presentations
8:30am - 9:00am
INVITED

Optical single-pixel sensing for Nonlinear Ising Machines

Luana Olivieri, Andrew R. Cooper, Luke Peters, Vittorio Cecconi, Alessia Pasquazi, Marco Peccianti, Juan S. Totero Gongora

Loughborough University, United Kingdom

Photonic Ising machines leverage large-scale parallelism for solving large combinatorial problems, yet multiple minima hamper Metropolis-based algorithm. A double single-pixel detection approach enables adiabatic energetic transitions from nonlocal to local Hamiltonians, finding the ground state of complex landscapes.


9:00am - 9:30am
INVITED

Integrated or random nonlinear optical generator for machine learning

Andrea Morandi, Luis Mickeler, Rachel Grange

ETH Zurich, Switzerland

I will show experimental results with nonlinear quadratic materials, in particular lithium niobate and barium titanate, for optical computing.


9:30am - 10:00am
INVITED

Controlling photon pairs in complex media : from circuits to machine learning

Sylvain Gigan

Sorbonne University, France

controlling light in complex media by wavefront shaping allows focusing and imaging, but it is also possible to control quantum states, such as indistinguishable photon pairs. I will discuss how one can control such states through a multimode fiber, and how it can be used for various tasks, ranging from emulating simple quasi-unitary circuits, to basic machine learning tasks, with a potential quantum advantage.