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Tensor Network Approach for Quantum Magnets: Effective Hamiltonian, Exotic Quantum Spin States, and their Applications

Tensor Network Approach for Quantum Magnets: Effective Hamiltonian, Exotic Quantum Spin States, and their Applications
Date & Time
May 3, 2023 (Wednesday) | 15:30-17:30
Venue
CPD-3.29, Centennial Campus, HKU
Speaker
Professor Wei Li
Institute of Theoretical Physics, Chinese Academy of Sciences

Public Lecture: Tensor Network Approach for Quantum Magnets: Effective Hamiltonian, Exotic Quantum Spin States, and their Applications
 
Quantum magnets are an important research field in contemporary condensed matter and particularly in quantum material physics. In this talk, Professor Wei Li will present a thermal data-driven and efficient approach learning the effective Hamiltonian of quantum magnets through tensor network simulations. Their approach combines the strategies incorporating the state-of-the-art thermal tensor network approach as many-body solver and the machine learning techniques like the Bayesian optimization. They showcase the accuracy and powerfulness of the Hamiltonian learning approach on realistic quantum magnets, e.g., the spin-chain compound (Copper Nitrate), triangular-lattice magnets (rare-earth and Co-based), as well as the Kitaev materials. Based on the accurate spin models for these magnets, exotic spin states can be revealed and their applications in quantum cooling are discussed.
 
Professor Wei Li

Speaker Professor Wei Li

Institute of Theoretical Physics, Chinese Academy of Sciences

Wei Li is a professor at the Institute of Theoretical Physics, Chinese Academy of Sciences. He received his Ph.D. degree from the University of Chinese Academy of Sciences in 2012, supervised by Professor Gang SU. From 2012 to 2015, he was an Postdoctral Fellow at the University of Munich, Germany; from 2015 to 2021, he was an associate professor at the department of physics, Beihang University; since 2021, he has worked at the Institute of Theoretical Physics, Chinese Academy of Sciences. In recent years, his research focus on the quantum manybody computational study of quantum magnetism and correlated electrons, including frustrated magnets and their microscopic quantum spin models, quantum critical magnetocaloric effect, quantum spin liquids, Fermi-Hubbard model and quantum simulations, electron correlations in moire materials. Up to now, he has published more than 65 papers in international academic journals including Nature Communications, PRX, PRL, PRB, etc.