Qualcomm Microsystems Seminar: Jungsang Kim, "Engineering Quantum Information Processing Systems"

Monday, April 29, 2013
4:00 p.m.
1146 A.V. Williams Building
Christopher Monroe

Qualcomm Microsystems Seminar Series

Engineering Quantum Information Processing Systems

Jungsang Kim
Associate Professor
Electrical & Computer Engineering, Physics and Computer Science
Duke University

Utilizing unique properties of quantum physics in principle enables computational speeds unmatched by a conventional computer for an important set of problems, and fundamentally secure communication over long distances. On the other hand, the practical technology to construct a functional, scalable quantum computer or quantum communication system remains a major challenge. Trapped ion systems feature long coherence times, high fidelity quantum logic gates, and high quantum efficiency state detection adequate for implementation of high performance quantum computer and quantum repeater. However, similar to transistor technology in the early days, we do not have a scalable technology platform on which large numbers of trapped ions can be integrated, nor an architectural framework for assembling a complex functional circuit capable of executing useful algorithms. In this work, I will describe a systems approach to realizing scalable quantum information processing systems utilizing hardware technology available to us today, and the integration effort currently under way.

Jungsang Kim received his B.S. degree in Physics in 1992 from Seoul National University (SNU) in Seoul, Korea, and his Ph.D. in Physics from Stanford University in 1999, working on the topic of quantum optics in semiconductor devices. He joined Bell Laboratories in Murray Hill, New Jersey where he served as a Member of Technical Staff and a Technical Manager, developing large-scale MEMS-based optical switches and advanced wireless communication systems. He joined the Department of Electrical and Computer Engineering at Duke University in 2004. His research interest lies in construction of high-performance complex systems, including ion-trap quantum computers, quantum communication networks, and high-performance imaging systems.

Audience: Graduate  Undergraduate  Faculty  Post-Docs  Alumni  Corporate 

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