
Prof.
Kwang-Cheng Chen
IEEE Fellow
University of South Florida, USA
Kwang-Cheng Chen has been a Professor at the
Department of Electrical Engineering, University of
South Florida, since 2016. From 1987 to 2016, Dr.
Chen worked with SSE, Communications Satellite
Corp., IBM Thomas J. Watson Research Center,
National Tsing Hua University, HP Labs., and
National Taiwan University in mobile communications
and networks. He visited TU Delft (1998), Aalborg
University (2008), Sungkyunkwan University (2013),
and Massachusetts Institute of Technology
(2012-2013, 2015-2016). He founded a wireless IC
design company in 2001, which was acquired by
MediaTek Inc. in 2004. He has been actively
involving in the organization of various IEEE
conferences and serving editorships with a few IEEE
journals, together with various IEEE volunteer
services to the IEEE, Communications Society,
Vehicular Technology Society, and Signal Processing
Society, such as founding the Technical Committee on
Social Networks in the IEEE Communications Society.
Dr. Chen also has contributed essential technology
to various international standards, namely IEEE 802
wireless LANs, Bluetooth, LTE and LTE-A, 5G-NR, and
ITU-T FG ML5G. He has authored and co-authored over
350 IEEE publications, 4 books published by Wiley
and River (most recently, Artificial Intelligence in
Wireless Robotics, 2020), and more than 26 granted
US patents. Dr. Chen is an IEEE Fellow, AAIA Fellow,
and has received a number of awards including 2011
IEEE COMSOC WTC Recognition Award, 2014 IEEE Jack
Neubauer Memorial Award, 2014 IEEE COMSOC AP
Outstanding Paper Award, and paper awards in
conferences. Dr. Chen’s current research interests
include quantum communications and computing,
wireless networks, multi-agent systems and social
networks, and cybersecurity.
Speech Title: Quantum Computations – Architecture
and Implementation
Abstract: Quantum entanglement that puzzled
great minds like Einstein enables recent advances in
quantum computers, computations, and various quantum
information systems. In this talk, we will introduce
the difference of logic implementation between
quantum and classic computing, and then quantum
gate-based computing architecture and adiabatic
quantum computation while taking fault-tolerance
into consideration. Quantum neural networks will be
introduced to further illustrate unique aspects of
quantum computations, technological advantages, and
technical challenges. Quantum computations have been
successfully applied to some computational problems
that were not possible before, such as molecular
biology, cancer research, and precision medicine. In
addition, noisy and intermediate-scale quantum
(NISQ) information systems will be introduced by
incorporating fault-tolerant mechanisms.