Seminar talk of Dr Toshiaki Koike-Akino (Mitsubishi Electric Research Laboratories (MERL))


Event details

Date 22.05.2024
Hour 11:0012:00
Speaker Dr Toshiaki Koike-Akino, Mitsubishi Electric Research Laboratories (MERL)
Category Conferences - Seminars
Event Language English
Title: Post-Deep Learning: Emerging Quantum AI Technology
Abstract:  Quantum computers hold the promise of revolutionizing signal processing by exploiting quantum phenomena such as superposition 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 quantum neural networks (QNNs) on NISQ devices, potentially offering computational efficiency advantages over traditional deep neural networks (DNNs).In this seminar, we will introduce an emerging quantum artificial intelligence (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 leverage the exponentially large quantum states to achieve computational efficiency with a small number of quantum gates. The talk will review the latest trends, fundamentals, applications, and future prospects of quantum AI, highlighting the exciting possibilities of harnessing the power of quantum mechanics for AI and beyond.

Bio: Toshiaki Koike-Akino received the B.S. degree in electrical and electronics engineering, the M.S. and Ph.D. degrees in communications and computer engineering from Kyoto University, Kyoto, Japan, in 2002, 2003, and 2005, respectively. During 2006–2010, he was a Postdoctoral Researcher with Harvard University, Cambridge, MA, USA, and joined Mitsubishi Electric Research Laboratories (MERL), Cambridge, MA, USA, in 2010. His research interests include signal processing for artificial intelligence, data communications and biosensing. He was the recipient of the YRP Encouragement Award 2005, the 21st TELECOM System Technology Award, the 2008 Ericsson Young Scientist Award, the IEEE GLOBECOM’08 Best Paper Award in Wireless Communications Symposium, the 24th TELECOM System Technology Encouragement Award, and the IEEE GLOBECOM’09 Best Paper Award in Wireless Communications Symposium. He is a Fellow of Optica (formerly OSA).

Practical information

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  • Professors  G. De Micheli and V. Cevher


  • Gosia Baltaian