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Colin McKinstrie

Dr. Colin J. McKinstrie

Senior Scientist
Huawei Technologies

400 Crossing Boulevard
Bridgewater NJ 08807
United States

tel: 908-541-3542
E-mail: colin.mckinstrie@huawei.com

Area of Expertise

Laser fusion, optical communication, photonics and quantum information science


Colin J. McKinstrie received BSc and PhD degrees from the Universities of Glasgow and Rochester, in 1981 and 1986, respectively. From 1985 to 1988 he was a Postdoctoral Fellow of Los Alamos National Laboratory, where he was associated with the Applied Physics Division and the Center for Nonlinear Studies. In 1988 Dr McKinstrie returned to the University of Rochester as a Professor of Mechanical Engineering and a Scientist in the Laboratory for Laser Energetics. While there, his main research interests were laser fusion and nonlinear fiber optics. From 2001 to 2014 Dr McKinstrie was a Member of the Technical Staff at Bell Labs, where his research concerned the amplification and transmission of optical pulses in communication systems, and applications of parametric devices in quantum information science. From 2014 to 2016 he continued this research as a Senior Scientist at Applied Communication Sciences and in 2016 he joined Huawei Technologies.

Lecture Title(s)

Parametric devices for optical communication and quantum information science

In this lecture I will review briefly the history of optical communication systems. Subsequently, I will review the physics and performance characteristics of parametric devices, such as amplifiers, frequency convertors and phase conjugators, which are based on four-wave mixing in fibers. I will also describe some recent applications of these devices, such as tunable radiation generation, phase-sensitive amplification, buffering by frequency conversion and dispersion, and real-time sampling. Parametric devices can generate signal photons that remain pure after heralding (detecting the associated idler photons) and frequency convert photons without distorting their quantum state. I will describe recent advances in the modeling and implementation of these processes, which are key requirements for quantum information science.

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