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DTSTAMP:20231219T112610Z
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DTSTART;TZID=Europe/Lisbon:20231124T150000
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DESCRIPTION: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 sec
 urity and reliability. While 6G is currently in its initial phases of deve
 lopment and standardization\, it is already foreseen to incorporate not ju
 st incremental technical enhacements but also pioneering innovations compa
 red 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 o
 f quantum computing for advanced data processing within 6G networks. As 6G
  networks are set to integrate artificial intelligence and machine learnin
 g even more intrinsically into their operation\, the concept of quantum ma
 chine learning (QML) emerges as a promising opportunity to enable swift da
 ta processing\, network optimization\, and increased security and privacy.
  In this presentation\, we will look at the fundamentals of quantum comput
 ing and quantum machine learning\, explore the possibilities they offer fo
 r future 6G networks\, and the potential for revolutionary advances they o
 ffer\, while presenting some the important challenges associated with thei
 r integration into 6G networks.\n\nCo-sponsored by: Instituto de Telecomun
 icações\; INESC Coimbra\; Universidade da Beira Interior\; IPC-ISEC\n\nS
 peaker(s): Soumaya Cherkaoui\, \n\nAuditório do Museu dos Lanifícios da 
 UBI\, Caminho do Biribau\, Núcleo Museológico da Real Fabrica Veiga\, Co
 vilhã\, Centro\, Portugal\, 6200-060 Covilhã\, Virtual: https://events.v
 tools.ieee.org/m/383323
LOCATION:Auditório do Museu dos Lanifícios da UBI\, Caminho do Biribau\, 
 Núcleo Museológico da Real Fabrica Veiga\, Covilhã\, Centro\, Portugal\
 , 6200-060 Covilhã\, Virtual: https://events.vtools.ieee.org/m/383323
ORGANIZER:fjv@ubi.pt
SEQUENCE:38
SUMMARY:Quantum Leap: Exploring the potential of Quantum Machine learning f
 or Communication Networks
URL;VALUE=URI:https://events.vtools.ieee.org/m/383323
X-ALT-DESC:Description: <br /><p>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\, wh
 ile at the same time achieving greater energy and spectral efficiency\, as
  well as enhanced security and reliability. While 6G is currently in its i
 nitial phases of development and standardization\, it is already foreseen 
 to incorporate not just incremental technical enhacements but also pioneer
 ing innovations compared to its forerunner\, 5G. Indeed\, quantum technolo
 gies are expected to play an important role in 6G. This goes beyond mechan
 isms such as quantum key distribution for secure communications\; it inclu
 des the integration of quantum computing for advanced data processing with
 in 6G networks. As 6G networks are set to integrate artificial intelligenc
 e and machine learning even more intrinsically into their operation\, the 
 concept of quantum machine learning (QML) emerges as a promising opportuni
 ty to enable swift data processing\, network optimization\, and increased 
 security and privacy. In this presentation\, we will look at the fundament
 als of quantum computing and quantum machine learning\, explore the possib
 ilities they offer for future 6G networks\, and the potential for revoluti
 onary advances they offer\, while presenting some the important challenges
  associated with their integration into 6G networks.</p>
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