Professor Ding works in applied and computational mathematics, with a particular focus on numerical analysis in areas such as quantum computing, machine learning, and data science. A central theme of his research is developing a deep mathematical understanding of existing algorithms and designing new, principled ones. His interests span a broad range of topics in quantum computing and machine learning, such as quantum eigenvalue estimation, signal processing, quantum and classical optimization and sampling, and mean-field analysis.
Research
Research Areas
AI; ML and Statistical InferenceAlgorithms and Codes
Computational and Informational Processing
Numerical Analysis; Statistics and Stochastic Methods and Theories
Quantum Science
Simulations