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Yongshan Ding is a Professor at Yale University in the Department of Computer Science, with additional appointments in Applied Physics. He holds a Ph.D. from the University of Chicago and a B.Sc. from Carnegie Mellon University. His research interests focus on computer architecture algorithms, quantum computing, artificial intelligence, quantum error correction, and the quantum hardware/software interface. He has received notable awards including the NSF CAREER Award in 2024, the Siebel Scholarship in 2020, and the William Rainey Harper Dissertation Fellowship in 2020. Ding is also the author of the textbook "Quantum Computer Systems: Research Noisy Intermediate-Scale Quantum Computers" published by Morgan & Claypool in 2020. His work is recognized for its contribution to the field, and he has an active research agenda that includes a complete list of publications on his research website.
Administered via the Graduate School of Arts and Sciences (GSAS). GRE General is optional for PhD.