Daochen Wang is an Assistant Professor in the Department of Computer Science with a research focus on quantum computation and information. He obtained his PhD from the University of Maryland, where he was advised by Andrew Childs. Additionally, he earned his BA and MMath from the University of Cambridge. His research interests include structures of quantum speed-ups, algorithm design, and real-world applications of quantum theory. He has been involved in several notable publications, including work on quantum algorithms and the applications of rational degree Boolean functions, which address longstanding conjectures in the field. He has also contributed to the development of quantum software, including the OpenFermion electronic structure package for quantum computers. Wang actively teaches courses on Quantum Computation and Cryptography at both undergraduate and graduate levels, advising multiple students throughout their academic endeavors.
University of Maryland • College Park
Teaches courses in quantum computation and information, including both undergraduate and graduate levels.