Creating and sharing knowledge for telecommunications

What is nonclassical about quantum interference?

on 23-05-2024

... On Quantum Tech Day, Instituto de Telecomunicações, Aveiro, hosts the talk "What is nonclassical about quantum interference?”, with Lorenzo Catani, a researcher at International Iberian Nanotechnology Laboratory (INL), on 23rd May 2024, 02:30 p.m.

This event occurs in the scope of the Portuguese Quantum Communications Infrastructure - PTQCI project.

Lorenzo Catani's research mostly focuses on the intersection between quantum foundations and quantum computation. In particular, he aims to identify the features of quantum theory that constitute a departure from the classical worldview and to show how these can be resources for quantum computational advantage in information processing tasks. He also is conducting a new mathematical framework that provides a realistic and interpretationally unproblematic account of quantum theory.

He holds a BSc in Physics (2012) and an MSc in Theoretical Physics (2014) from the University of Bologna, where he was also a student of the Collegio Superiore, one of the Superior Graduate Schools in Italy. He also holds an MRes (2015) and a PhD (2018) from University College London, obtained as part of the doctoral training program in delivering quantum technologies. His doctoral thesis was titled Nonclassicality as a computational resource. Before moving to INL, he held postdoctoral positions at Chapman University in California (2018–2021) and Technische Universität Berlin (2021–2023).

Further on this project:
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LxMLS 2024 - 14th Lisbon Machine Learning School

on 11-07-2024

... LxMLS 2024 - 14th Lisbon Machine Learning School will be held this summer from July 11th to 17th, 2024. The call for participation is open until April 26, 2024.

The school covers a range of machine learning topics, from theory to practice, that are important in solving natural language processing problems arising in different application areas. It is organized jointly by Instituto Superior Técnico (IST), Instituto de Telecomunicações (IT), Instituto de Engenharia de Sistemas e Computadores, Investigação e Desenvolvimento em Lisboa (INESC-ID), Lisbon ELLIS Unit for Learning and Intelligent Systems (LUMLIS), Unbabel, Zendesk, and IBM Research

On its 14th edition, the LxMLS 2024 will delve into Machine Learning (ML) topics, spanning from theoretical underpinnings to practical applications, particularly focusing on addressing the challenges encountered in Natural Language Processing (NLP) tasks inherent in the analysis and utilization of web data.

We encourage the participation of researchers and graduate students specializing in NLP and Computational Linguistics, computer scientists with a keen interest in statistics and machine learning, as well as industry practitioners seeking a deeper comprehension of these domains.

Confirmed Speakers:
ADÈLE H. RIBEIRO Philipps-Universität Marburg | Germany
ALBERT GU Carnegie Mellon University | USA
ANDRÉ MARTINS University of Lisbon & Unbabel | Portugal
BHIKSHA RAJ Carnegie Mellon University | USA
DANQI CHEN Princeton University | USA
DESMOND ELLIOTT University Of Copenhagen | Denmark
KYUNGHYUN CHO New York University | USA
MÁRIO FIGUEIREDO University of Lisbon & Instituto de Telecomunicações | Portugal
MOHIT BANSAL University of North Carolina at Chapel Hill | USA
NOAH SMITH University of Washington & Allen Institute for Artificial Intelligence | USA
SARA HOOKER Cohere for AI | Canada

Apply here:
Any questions should be directed to:

Important Dates
Application Deadline: April 26, 2024
Notification of Admission: May 6, 2024
Early registration: May 07- June 28, 2024
Summer School: July 11-17, 2024

Please visit our webpage for up-to-date information: More Information..