IEEE SSCS/CAS Webinar: Introduction to Quantum Computing: From Algorithm to Hardware

#quantum-computing #analog #cas #circuits #rf #sscs #hpc
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  • Starts 12 October 2025 05:00 PM UTC
  • Ends 06 November 2025 07:00 PM UTC
  • No Admission Charge


  Speakers

San Jose State University

Topic:

Introduction to Quantum Computing: From Algorithm to Hardware

Quantum computing is expected to change the world by providing an exponential speed-up in solving some very difficult problems. In this tutorial, we will first discuss the fundamental principles of quantum computing algorithms. Error correction, which is essential to realize a fault-tolerant quantum computer, will be briefly covered. Finally, using the superconductor-based quantum computer as an example, we will study how to implement the essential operations in quantum computers, namely, qubit initialization, readout, and manipulations. It will be appreciated that powerful classical computers, which are used to control the qubits, are essential to the successful implementation of quantum computers.

Biography:

 

 

Hiu Yung Wong is a 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 the Synopsys Excellence Award in 2010. He is the author of two books, "Introduction to Quantum Computing: From a Layperson to a Programmer in 30 Steps" and "Quantum Computing Architecture and Hardware for Engineers: Step by Step". He is one of the founding faculty members 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 2 books, 1 book chapter, more than 130 papers, and 10 patents.