Lin Lin

Lin Lin is a Professor in the Department of Mathematics at the University of California, Berkeley, and a Senior Faculty Scientist in the Mathematics Group at Lawrence Berkeley National Laboratory. Her research focuses on solving quantum many-body problems via both classical and quantum algorithms. Lin organizes the Quantum Many-Body Seminar and co-organizes several quantum algorithms conferences. She teaches a topic course on Quantum algorithms for scientific computation and has authored lecture notes and a book on the subject. Lin's work spans quantum chemistry, quantum physics, materials science, and quantum information theory.

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 for real-world problems.