We are happy to announce that the registration to attend the 13th edition of the Optoelectronics & Photonics Winter School is open. Deadline in on 8th December 2024

This year the school is about Artificial intelligence for Telecom and will be held from 19th till 25th of January 2025 at Hotel Monte Bondone (Trento - Italy).  
The School Directors are Prof. Lorenzo Pavesi and Prof. Pieter Bienstman. For more info look at the school site or write to This email address is being protected from spambots. You need JavaScript enabled to view it.

There are available only 50 places which will be allocated on a first-come, first-served basis. 

All are invited to join! 

 

Brillouin nonlinearity characterizations of a high refractive index silicon oxynitride platform [Invited]

Kaixuan Ye, Akshay Keloth, Yvan Klaver, Alessio Baldazzi, Gioele Piccoli, Matteo Sanna, Lorenzo Pavesi, Mher Ghulinyan, and David Marpaung  

 
Opt. Mater. Express 14, 2225-2238 (2024)

 

DOI: doi.org/10.1364/OME.522184

 

 

Quantum states generation and manipulation in a programmable silicon-photonic four-qubit system with high-fidelity and purity

Jong-Moo Lee, Jiho Park,Jeongho Bang, Young-Ik Sohn, Alessio Baldazzi, Matteo Sanna, Stefano Azzini, and Lorenzo Pavesi  

 
 
APL Photonics 9, 076110 (2024)

 

DOI: https://doi.org/10.1063/5.0207714

 

 

 

We are happy to announce the 13th edition of the Optoelectronics & Photonics Winter School. This year the school is about Artificial Intelligence for Telecom. The school will be held from 19th till 25th of January, 2025 on Monte Bondone (Trento), Italy. 

The School Directors are Lorenzo Pavesi (University of Trento) and Peter Bienstman (Ghent University). All are invited to join! 

More info at website of the school. 

 

Phd position in "Photonic neural networks and their applications"

The research is about the design, testing and modeling of photonic integrated neural network for time series analysis and optical communication data equalization at more than 10 Gbps. The PhD student will characterize the device by using state of the art photonic components and will demonstrate the working principle of the same. The neural networks will be based on linear and nonlinear photonic components such as microring resonator and optical semiconductor amplifiers.

 

Details about PhD application procedure will be available at https://www.unitn.it/en/ateneo/108113/announcement-of-selection-second-call

 

For more info: This email address is being protected from spambots. You need JavaScript enabled to view it.