Yang Qi

  • Researcher
  • Department of Physics, Fudan University.
  • Shanghai, China.
  • (Starting in Nov. 2017)

Research Interests

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.

Z2 SET w/ e-m duality.

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.

Z2 SET w/ e-m duality.

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.


Selected Publications

  1. 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).

  2. Self-learning Monte Carlo method.

    Jun-Wei Liu, Yang Qi, Zi-Yang Meng and Liang Fu, Phys. Rev. B 95, 041101(R) (2017).

  3. Anomalous Crystal Symmetry Fractionalization on the Surface of Topological Crystalline Insulators

    Yang Qi and Liang Fu, Phys. Rev. Lett. 115, 236801 (2015)