Yang Qi

  • Researcher.
  • Department of Physics, Fudan University.
  • Shanghai, China.

Research Interests

I am a physicist working on condensed matter theories, in particular, strongly correlated quantum many-body systems, and topological orders.

Classifying SPT and SET phases.

Topological phases are new kinds of phases in quantum many-body systems, beyond the Landau's Paradigm of spontaneous symmetry breaking. Part of my research focus on the classification of symmetry-protected and symmetry-enriched topological phases.

Real-space recipe for constructing crystalline SPT 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.

Autocorrelation function of different MC algorithms.

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. Real-space recipes for general topological crystalline states

    Zhida Song, Chen Fang* and Yang Qi*, Nat. Comm. 11, 4197 (2020).

  2. Anomalous Symmetry Protected Topological States in Interacting Fermion Systems

    Qing-Rui Wang, Yang Qi*, and Zheng-Cheng Gu*, Phys. Rev. Lett. 123, 207003 (2019).

  3. Self-learning Monte Carlo method

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

  4. Monte Carlo Study of Lattice Compact Quantum Electrodynamics with Fermionic Matter: the Parent State of Quantum Phases

    Xiao Yan Xu*, Yang Qi*, Long Zhang, Fakher F. Assaad, Cenke Xu and Zi Yang Meng*, Phys. Rev. X 9, 021022 (2019)