- Department of Physics, Fudan University.
- Shanghai, China.
- (Starting in Nov. 2017)
I am a physicist working on condensed matter theories, in particular, strongly correlated quantum many-body systems, and topological orders.
Classification of SET states.
Symmetry-enriched topological phases (SET) exhibit both long-range entanglement and intricate interplay with global symmetries, such as anyon-permuting symmetry actions and fractionalizations of quantum numbers. Part of my research focus on the classification of such SET states.
Accelerating QMC using Machine Learning.
Quantum Monte Carlo is a powerful approach to simulate quantum many-body systems numerically. Using the recent advances in Machine Learning, we develop new algorithms that accelerate QMC simulations.
Quantum spin liquids with topological orders.
Quantum spin liquids belong to a new class of quantum states of matter, known as the topological orders. Part of my research focus on theories of quantum spin liquids, and possible realizations in frustrated quantum magnets.
- Exactly Solvable Models for Symmetry-Enriched Topological Phases
Meng Cheng, Zheng-Cheng Gu, Sheng-Han Jiang and Yang Qi, Phys. Rev. B 96 115107 (2017).
- Self-learning Monte Carlo method.
Jun-Wei Liu, Yang Qi, Zi-Yang Meng and Liang Fu, Phys. Rev. B 95, 041101(R) (2017).
- Anomalous Crystal Symmetry Fractionalization on the Surface of Topological Crystalline Insulators
Yang Qi and Liang Fu, Phys. Rev. Lett. 115, 236801 (2015)