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Advances in Trapped Ion Quantum Computing Technology
Prof. Jungsang KIM, Professor of Electrical & Computer Engineering and of Physics, Duke University
Date : 26 Aug 2021 (Thursday)
Time : 8:00 - 9:00 pm
Venue : Online via Zoom
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Trapped ion is the leading candidate for realizing practically useful quantum computers, as the system features the highest performance quantum computational operations. Introduction of advanced integration technologies has provided an opportunity to convert a complex atomic physics experiment into a stand-alone programmable quantum computer. In this lecture, the speaker will discuss recent technological progress that changed the perception of a trapped ion system as a scalable quantum computer.


About the speaker

Prof. Jungsang Kim received his PhD in Physics from Stanford University in 1999. He then joined Nokia Bell Labs as a technical manager and moved to Duke University in 2004 as an Assistant Professor. He is currently a Professor of Electrical & Computer Engineering and of Physics in Duke University. He is also the Co-Founder and Chief Technology Officer in IonQ, Inc.

Prof. Kim leads the Multifunctional Integrated Systems Technology group at Duke University. His current research mainly focuses on quantum information sciences, where his group uses trapped atomic ions and a range of photonics technologies in an effort to construct a scalable quantum information processors and quantum communication networks. His research also focuses on the introduction of new technologies, such as microfabricated ion traps, optical micro-electromechanical systems, advanced single photon detectors, compact cryogenics and vacuum technologies, towards a functional integration of quantum information processing systems.

Prof. Kim co-founded IonQ, Inc. with Prof. Chris MONROE (University of Maryland) in 2015 with US$2 million in seed funding from New Enterprise Associates in the goal of taking trapped ion quantum computing out of the lab and into the market. After three years, the IonQ, Inc. raised an additional US$20 million from GV, Amazon Web Services, and US National Education Association, and built two of the world’s most accurate quantum computers.

For attendees’ attention


  This lecture will be conducted online via Zoom.
Passcode: cqt2021



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