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SUMMARY:Seminar talk of Dr Toshiaki Koike-Akino (Mitsubishi Electric Resea
 rch Laboratories (MERL))
DTSTART:20240522T110000
DTEND:20240522T120000
DTSTAMP:20260527T151233Z
UID:37671abb3b845559d9673200b42816495175dc19670ab35ed8cd9a96
CATEGORIES:Conferences - Seminars
DESCRIPTION:Dr Toshiaki Koike-Akino\, Mitsubishi Electric Research Laborat
 ories (MERL)\n\n\n\n\nTitle: Post-Deep Learning: Emerging Quantum AI Techn
 ology\n\n \n\nAbstract:  Quantum computers hold the promise of revolutio
 nizing signal processing by exploiting quantum phenomena such as superposi
 tion and entanglement. In recent years\, several vendors have successfully
  manufactured commercial quantum processing units (QPUs)\, paving the way 
 for the use of noisy intermediate-scale quantum (NISQ) devices in various 
 real-world applications. To address the challenges posed by quantum noise
 \, researchers have proposed hybrid quantum-classical algorithms based on 
 the variational principle. These algorithms enable the configuration of qu
 antum neural networks (QNNs) on NISQ devices\, potentially offering comput
 ational efficiency advantages over traditional deep neural networks (DNNs)
 .In this seminar\, we will introduce an emerging quantum artificial intell
 igence (QAI) framework that aims to tackle the limitations of conventional
  AI methods and envision the potential post-deep learning paradigm. While 
 QNNs may not necessarily outperform DNNs in all scenarios\, they can lever
 age the exponentially large quantum states to achieve computational effici
 ency with a small number of quantum gates. The talk will review the lates
 t trends\, fundamentals\, applications\, and future prospects of quantum A
 I\, highlighting the exciting possibilities of harnessing the power of qua
 ntum mechanics for AI and beyond.\n\nBio: Toshiaki Koike-Akino received th
 e B.S. degree in electrical and electronics engineering\, the M.S. and Ph.
 D. degrees in communications and computer engineering from Kyoto Universit
 y\, Kyoto\, Japan\, in 2002\, 2003\, and 2005\, respectively. During 2006
 –2010\, he was a Postdoctoral Researcher with Harvard University\, Cambr
 idge\, MA\, USA\, and joined Mitsubishi Electric Research Laboratories (ME
 RL)\, Cambridge\, MA\, USA\, in 2010. His research interests include signa
 l processing for artificial intelligence\, data communications and biosens
 ing. He was the recipient of the YRP Encouragement Award 2005\, the 21st T
 ELECOM System Technology Award\, the 2008 Ericsson Young Scientist Award\,
  the IEEE GLOBECOM’08 Best Paper Award in Wireless Communications Sympos
 ium\, the 24th TELECOM System Technology Encouragement Award\, and the IEE
 E GLOBECOM’09 Best Paper Award in Wireless Communications Symposium. He 
 is a Fellow of Optica (formerly OSA).\n\n\n\n
LOCATION:ELA 1 https://plan.epfl.ch/?room==ELA%201
STATUS:CONFIRMED
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