Lin Lin 林霖

Lin Lin (林霖) is a Professor in the Department of Mathematics at the University of California, Berkeley. Her research focuses on Applied Mathematics, with particular emphasis on Numerical analysis, Quantum chemistry, and Quantum algorithms. She is affiliated with the Lawrence Berkeley National Laboratory. Lin's work includes contributions to quantum computing, quantum many-body problems, and numerical methods for Kohn-Sham density functional theory. She has published extensively in top-tier journals, including Phys. Rev. Lett., PRX Quantum, and SIAM Rev. Her research explores topics such as quantum linear system solvers, ground state preparation, and Hamiltonian simulation. Lin can be contacted at linlin@math.berkeley.edu or via her personal website.

Lin Lin is a researcher at the University of California, Berkeley, specializing in applied mathematics, quantum chemistry, quantum computation, and scientific machine learning. Their work focuses on advancing computational methods for quantum systems, including quantum eigenvalue transformations, ground-state energy estimation, and ab initio simulations. Lin has contributed to the development of efficient algorithms for quantum linear systems and has explored the application of machine learning in large-scale molecular dynamics simulations. Their research bridges theoretical and applied aspects of quantum computing and computational chemistry, with an emphasis on practical implementations and performance optimization.