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Quantum computers are expected to change the world by providing exponential speed-up in solving some very difficult problems. In this tutorial, we will discuss the fundamental principles of quantum computing algorithms to understand how a qubit is different from a classical bit. Important concepts such as superposition, entanglement, quantum gate, error correction, and no-cloning theorem will be discussed. After this talk, the audience will appreciate the power and also the limitations of quantum computing.
Speaker details:
Hiu Yung Wong is an Associate Professor and Silicon Valley AMDT Endowed Chair in Electrical Engineering, at San Jose State University. He received his Ph.D. degree in Electrical Engineering and Computer Science from the University of California, Berkeley in 2006. From 2006 to 2009, he worked as a Technology Integration Engineer at Spansion. From 2009 to 2018, he was a TCAD Senior Staff Application Engineer at Synopsys.
He received the Curtis W. McGraw Research Award from ASEE Engineering Research Council in 2022, the NSF CAREER award and the Newnan Brothers Award for Faculty Excellence in 2021, and Synopsys Excellence Award in 2010. He is the author of the book, “Introduction to Quantum Computing: From a Layperson to a Programmer in 30 Steps”. He is one of the founding faculties of the Master of Science in Quantum Technology at San Jose State University.
His research interests include the application of machine learning in simulation and manufacturing, cryogenic electronics, quantum computing, and wide bandgap device simulations. His works have produced 1 book, 1 book chapter, more than 100 papers, and 10 patents.
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