72 citations · 240 across the 19 of their papers we have counts for
11 papers · 1 filter
Beyond Boundaries: efficient Projected Entangled Pair States methods for periodic quantum systems
Shaojun Dong, Chao Wang, Hao Zhang +2
Projected Entangled Pair States (PEPS) are recognized as a potent tool for exploring two-dimensional quantum many-body systems. However, a significant challenge emerges when applyi…
A quantum spin liquid phase in the Kitaev-Hubbard model
Shaojun Dong, Hao Zhang, Chao Wang +3
The quantum spin liquid (QSL) state has been searched intensively in Kitaev-like materials, such as the Iridium oxides IrO and -RuCl. The half-filled Kitaev-Hubbard…
Projected entangled pair states study of anisotropic-exchange magnets on triangular lattice
Meng Zhang, Chao Wang, Shaojun Dong +3
The anisotropic-exchange spin-1/2 model on a triangular lattice has been used to describe the rare-earth chalcogenides, which may have exotic ground states. We investigate the quan…
Hybrid convolutional neural network and PEPS wave functions for quantum many-particle states
Xiao Liang, Shao-Jun Dong, Lixin He
Neural networks have been used as variational wave functions for quantum many-particle problems. It has been shown that the correct sign structure is crucial to obtain the high acc…
Reply to comments on "Gapless spin liquid ground state of spin-1/2 - Heisenberg model on square lattices"
Wen-Yuan Liu, Shaojun Dong, Chao Wang +4
In a recent comments [arXiv:1909.12788 (2019)], Zhao et al. argue that the definition of dimer orders used in our paper [Phys. Rev. B 98, 241109 (2018)] may not rule out valence bo…
Stable diagonal stripes in the t-J model at =1/8 doping from fPEPS calculations
Shao-Jun Dong, Chao Wang, Yong-Jian Han +2
We investigate the 2D t-J model at a hole doping of =1/8 using recently developed high accuracy fermionic projected entangled pair states(fPEPS) method. By applying stoc…
Gradient optimization of fermionic projected entangled pair states on directed lattices
Shao-Jun Dong, Chao Wang, Yongjian Han +2
The recently developed stochastic gradient method combined with Monte Carlo sampling techniques [PRB {\bf 95}, 195154 (2017)] offers a low scaling and accurate method to optimize t…
Gapless spin liquid ground state of spin-1/2 - Heisenberg model on square lattices
Wen-Yuan Liu, Shaojun Dong, Chao Wang +4
The spin-1/2 - Heisenberg model on square lattices are investigated via the finite projected entangled pair states (PEPS) method. Using the recently developed gradient op…
PEPS++: Towards Extreme-scale Simulations of Strongly Correlated Quantum Many-particle Models on Sunway TainhuLight
Lixin He, Hong An, Chao Yang +10
The study of strongly frustrated magnetic systems has drawn great attentions from both theoretical and experimental physics. Efficient simulations of these models are essential for…
TNSPackage: A Fortran2003 library designed for tensor network state methods
Shao-Jun Dong, Wen-Yuan Liu, Chao Wang +3
Recently, the tensor network states (TNS) methods have proven to be very powerful tools to investigate the strongly correlated many-particle physics in one and two dimensions. The…
Tunneling frustration induced peculiar supersolid phases in the extended Bose-Hubbard model
Shao-Jun Dong, Wenyuan Liu, Xiang-Fa Zhou +4
By using a state of art tensor network state method, we study the ground-state phase diagram of an extended Bose-Hubbard model on the square lattice with frustrated next-nearest ne…