Our research focuses on the theoretical investigation of correlated topological phases and phase transitions in condensed matter and high-energy physics, understanding the dynamics of quantum entanglement, and application of machine learning in quantum many-body problems.
1. Correlated Quantum Many-Body System
Quantum mechanics governs the microscopic degrees of freedom of electrons and spins. When strongly interacting, these systems can exhibit exotic collective phenomena beyond the simple sum of individual behaviors. Studying quantum many-body systems has important practical applications, from designing new materials to building quantum devices.
2. Topological Phases of Matter
Discovering new quantum phases is an exciting frontier of condensed matter physics. Topological phases exhibit exotic properties beyond traditional paradigms. Studying them has advanced quantum many-body theory and may enable new experimental realizations.
3. Quantum Entanglement Dynamics
Quantum entanglement connects topics of topological order, localization, and quantum chaos. It shares similarities with wormholes, motivating holographic duality ideas. Understanding entanglement structure and dynamics may provide insights into fundamental questions of decoherence, thermalization, and gravity.
4. Machine Learning and Physics
Artificial intelligence is influencing all scientific fields, including physics. Physicists are also providing insights into the nature of intelligence. The combination of machine learning and physics is just beginning, with much potential still to be explored.