Abstract: Quantum computing (and more generally, quantum information science) is a booming field of research based on the recognition that information, and what can be done with it, is ultimately governed by the strange rules of quantum physics. The prospect of new, intriguing capabilities in sensing, computing, and communication has piqued interest from many scientific disciplines. However, the unfamiliar principles and mathematics of quantum information are often a barrier to those wishing to engage in this exciting research area.
In this talk, I will give an introduction to the mathematics and general “mindset” of quantum information with a focus on quantum computing. My goal is to make quantum computing less mysterious and provide mathematically-inclined researchers at the Oak Ridge National Laboratory (ORNL) technical tools to begin collaborating with researchers in quantum information science.
Speaker’s Bio: Dr. Ryan Bennink leads the Quantum Computational Science Group at ORNL. For the past decade, his research interests have revolved around modeling and simulation of quantum computation and developing new quantum computational methods. Prior to that, Dr. Bennink developed state-of-the-art entangled photon sources for quantum information science applications. Dr. Bennink has a Ph.D in optics from the University of Rochester and undergraduate degrees in physics and mathematics. He studied abroad as a Marshall Scholar, was a Sproull Fellow at the University of Rochester, and joined ORNL as a Wigner Fellow in 2004.
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Last Updated: April 21, 2022 - 12:22 pm