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Charles Yuan is an assistant professor in the Department of Computer Science at the University of Wisconsin-Madison. His research interests lie in quantum computing, focusing on programming quantum computers and realizing quantum algorithms. His research group examines the essential software stack required to work with quantum information, exploring how programming languages and compilers can better handle quantum computing's unique challenges. Yuan is particularly interested in the practical implementation of quantum algorithms, especially concerning linear algebra and optimization tasks. He teaches a graduate seminar on programming quantum computers and actively engages in academic service, contributing to conferences such as PLDI, PLanQC, and ASPLOS. Yuan has a distinguished educational background, having completed his Ph.D. at MIT CSAIL under Michael Carbin, and has held positions at Google Quantum AI and Hudson River Trading. He is also working on various publications, focusing on foundational concepts in quantum programming and has received recognition for his contributions to the field, including the Distinguished Artifact Award.
University of Wisconsin-Madison • Madison, WI
Teaching and researching in quantum computing.
Google Quantum AI • Mountain View, CA
Worked on quantum algorithm development.
Hudson River Trading • New York, NY
Conducted research on quantum computing applications in finance.
Department: Department of Computer Sciences