My research investigates interdisciplinary subjects among quantum computing, machine learning, and theoretical computer science, with the focus on designing quantum algorithms for machine learning and optimization. I am also interested in quantum simulation, quantum query complexity, and quantum walks.
Official Website Google Scholar
News 04/2023, my papers "Quantum Lower Bounds for Finding Stationary Points of Nonconvex Functions" and "Near-Optimal Quantum Coreset Construction Algorithms for Clustering" were accepted by the 40th International Conference on Machine Learning (ICML 2023) .