My research lies at the intersection of quantum computing, numerical analysis, and statistical estimation theory. I develop computational methods that integrate rigorous analysis with practical applications to address key challenges in quantum algorithms and quantum system characterization. In particular, I design efficient and robust quantum algorithms using optimization, approximation theory, and numerical linear algebra, targeting large-scale applications in areas such as quantum simulation and quantum chemistry. I also employ classical methods, including statistical estimation and signal processing, to improve the performance and reliability of quantum computing.
COntact
Methodologies
Deep Learning / Generative AI / Information Theory / Machine Learning / Mathematical and Statistical Modeling / Optimization / Statistics
Applications
Engineering / Mathematics / Physical Science
Community Affiliation
