• Publications
  • Influence
Quantum spin liquid emerging in two-dimensional correlated Dirac fermions
It is shown, by means of large-scale quantum Monte Carlo simulations of correlated fermions on a honeycomb lattice (a structure realized in, for example, graphene), that a quantum spin liquid emerges between the state described by massless Dirac fermion and an antiferromagnetically ordered Mott insulator.
Higher-form symmetry breaking at Ising transitions
In recent years, new phases of matter that are beyond the Landau paradigm of symmetry breaking are mountaining, and to catch up with this fast development, new notions of global symmetry are
Scaling of Entanglement Entropy at Deconfined Quantum Criticality
Jiarui Zhao,1 Yan-Cheng Wang,2 Zheng Yan,1, 3 Meng Cheng,4, ∗ and Zi Yang Meng1, † Department of Physics and HKU-UCAS Joint Institute of Theoretical and Computational Physics, The University of Hong
Correlated states in twisted double bilayer graphene
Electron–electron interactions play an important role in graphene and related systems and can induce exotic quantum states, especially in a stacked bilayer with a small twist angle 1 – 7 . For
Odd-parity triplet superconducting phase in multiorbital materials with a strong spin-orbit coupling: application to doped Sr₂IrO₄.
Large-scale dynamical mean-field theory simulations with the hybridization expansion continuous-time quantum Monte Carlo (CTQMC) impurity solver are employed to determine the pairing symmetry and go beyond the local DMFT formalism using parquet equations to introduce the momentum dependence in the two-particle vertex and correlation functions.
Effect of Zn doping on the antiferromagnetism in kagome Cu4−xZnx(OH)6FBr
Barlowite ${\mathrm{Cu}}_{4}{(\mathrm{OH})}_{6}\mathrm{FBr}$ shows three-dimensional (3D) long-range antiferromagnetism, which is fully suppressed in
Self-learning Monte Carlo method and cumulative update in fermion systems
We develop the self-learning Monte Carlo (SLMC) method, a general-purpose numerical method recently introduced to simulate many-body systems, for studying interacting fermion systems. Our method uses
Self-learning quantum Monte Carlo method in interacting fermion systems
The self-learning Monte Carlo method is a powerful general-purpose numerical method recently introduced to simulate many-body systems. In this work, we extend it to an interacting fermion quantum
Duality between the deconfined quantum-critical point and the bosonic topological transition
Recently significant progress has been made in $(2+1)$-dimensional conformal field theories without supersymmetry. In particular, it was realized that different Lagrangians may be related by hidden