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Quantum Computing Architecture and Hardware for Engineers: Step by Step

De (autor): Hiu Yung Wong

Quantum Computing Architecture and Hardware for Engineers: Step by Step - Hiu Yung Wong

Quantum Computing Architecture and Hardware for Engineers: Step by Step

De (autor): Hiu Yung Wong

Hiu Yung Wong is an Associate Professor 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 Industry Sponsored Research Award and ERFA RSCA Award in 2024, the AMDT Endowed Chair Award, 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 120 papers, and 10 patents.

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Hiu Yung Wong is an Associate Professor 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 Industry Sponsored Research Award and ERFA RSCA Award in 2024, the AMDT Endowed Chair Award, 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 120 papers, and 10 patents.

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