About the speaker
Dr. Soon Xin Ng (Michael) is an Associate Professor in telecommunications at the University of Southampton, UK. He received the BEng degree (First class) in electronic engineering and the PhD degree in telecommunications from the University of Southampton, UK, in 1999 and 2002, respectively. From 2003 to 2006, he was a postdoctoral research fellow working on collaborative European research projects known as SCOUT, NEWCOM and PHOENIX. Since August 2006, he has been a member of academic staff in the School of Electronics and Computer Science, University of Southampton. He was involved in the OPTIMIX and CONCERTO European projects as well as the IU-ATC and UC4G projects.
His research interests include adaptive coded modulation, coded modulation, channel coding, space-time coding, joint source and channel coding, iterative detection, OFDM, MIMO, cooperative communications, distributed coding, quantum error correction codes and joint wireless-and-optical-fibre communications. He is currently leading a team of researchers working on Quantum-assisted and Quantum-based communications. He has published over 190 IEEE research papers and co-authored two John Wiley/IEEE Press books in his research fields. He is a Senior Member of the IEEE, a Chartered Engineer and a Fellow of the Higher Education Academy in the UK
Keynote: Cooperative Classical and Quantum Communications
According to Moore's law, the number of transistors on micro-chip doubles every two years. Hence, the transistor size is expected to approach atomic scale in the near future due to our quest for miniaturization and more processing power. However, atomic level behaviour is governed by the laws of quantum physics, which are significantly different from those of classical physics. More explicitly, the inherent parallelism associated with quantum entities allows a quantum computer to carry out operations in parallel, unlike conventional computers. More significantly, quantum computers are capable of solving some challenging optimization problems in a fraction of the time required by a conventional computer. In other words, the inherent parallel processing capability of quantum computers can be exploited to dramatically reduce the detection complexity in future generation communications systems. However, the major impediment in the practical realization of quantum computers is the sensitivity of the quantum states, which collapse when they interact with their environment. Hence, powerful Quantum Error Correction (QEC) codes are needed for protecting the fragile quantum states from undesired influences and for facilitating the robust implementation of quantum computers. In this talk we will look at various problems and some potential solutions for jointly designing classical and quantum communications systems.