Quantum Leap: Exploring the potential of Quantum Machine learning for Communication Networks

#WIE #communications #networks #wireless #6G #Quantum #Machine #Learning

PLEASE PAY ATTENTION TO THE TIME SCHEDULE BELOW (it was postponed by one hour after the 1st announcement) 
This event will be conducted in person. For those unable to attend face-to-face, the lecture will also be broadcasted live, making it accessible to a broader audience. 

Future 6G networks are expected to surpass the advances made in 5G, by providing the faster speeds, lower latency and extended coverage needed for emerging transformative applications, while at the same time achieving greater energy and spectral efficiency, as well as enhanced security and reliability. While 6G is currently in its initial phases of development and standardization, it is already foreseen to incorporate not just incremental technical enhacements but also pioneering innovations compared to its forerunner, 5G. Indeed, quantum technologies are expected to play an important role in 6G. This goes beyond mechanisms such as quantum key distribution for secure communications; it includes the integration of quantum computing for advanced data processing within 6G networks. As 6G networks are set to integrate artificial intelligence and machine learning even more intrinsically into their operation, the concept of quantum machine learning (QML) emerges as a promising opportunity to enable swift data processing, network optimization, and increased security and privacy. In this presentation, we will look at the fundamentals of quantum computing and quantum machine learning, explore the possibilities they offer for future 6G networks, and the potential for revolutionary advances they offer, while presenting some the important challenges associated with their integration into 6G networks.

  Date and Time




  • Date: 24 Nov 2023
  • Time: 03:00 PM to 05:00 PM
  • All times are (UTC+00:00) Lisbon
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FREE REGISTRATION (Please register here): https://www.eventbrite.com.au/e/quantum-leap-tickets-757838123227 


The Speaker will be in-person at Covilhã. 

(For Virtual participants: Link sent by organization after registration: ): https://videoconf-colibri.zoom.us/j/95115616018?pwd=WGM5ZWpqRTFXdEFUR25LRHZmUEh3dz09  

  • Auditório do Museu dos Lanifícios da UBI, Caminho do Biribau, Núcleo Museológico da Real Fabrica Veiga
  • Covilhã, Centro
  • Portugal 6200-060 Covilhã
  • Click here for Map

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  • Co-sponsored by Instituto de Telecomunicações; INESC Coimbra; Universidade da Beira Interior; IPC-ISEC


Soumaya Cherkaoui Soumaya Cherkaoui


Soumaya Cherkaoui is a Full Professor at Department of Computer and Software Engineering at Polytechnique Montréal, Canada. From 1999 to 2021, she was a professor at the department of Electrical and Computer Engineering at the Université de Sherbrooke, Québec, Canada. Before joining academia as a professor in 1999, she worked for industry as a project leader on projects targeted at the Aerospace Industry. Pr. Cherkaoui research interests lie at the convergence of communications and artificial intelligence, machine learning in next generation networks (5G and beyond/6G),  Sustainable machine learning, Quantum Machine Learning,  Federated Learning  and their applications (e.g., autonomous vehicles, smart grid, IoT, industrial IoT). Pr. Cherkaoui has held invited positions at leading institutions including the University of California at Berkeley. Bell Laboratories, Monash University, and the University of Toronto, as well as an adjunct position at Lulea University, in Sweden. Pr. Cherkaoui avails of a long research experience in the wireless networking. Her work resulted in technology transfer to companies and to patented technology. She has delivered several keynote addresses and invited talks in the area. Pr. Cherkaoui has published over 200 research papers in reputed journals and conferences. She has been a guest editor and a member of the editorial board of several IEEE, Wiley, and Elsevier Journals including IEEE JSAC, IEEE Network, IEEE Systems and Computer Networks. Her work was awarded with recognitions and best paper awards including the Mirela Notare Award in 2033, the best paper award at IEEE LCN 2021, and a best paper award at IEEE ICC in 2017. She has chaired prestigious conferences such as IEEE LCN 2019 and has served as a symposium co-chair for flagship conferences including IEEE ICC 2018, IEEE Globecom 2018, IEEE Globecom 2015, IEEE ICC 2014, and IEEE PIMRC 2011. She was also Chair of the IEEE Communications Society Technical Committee on IoT-Ad hoc and Sensor Networks. She is a professionnal engineer in Canada.

Address:Polytechnique Montreal, Montréal (QC), Canada,