5 papers
Efficient simulation of low-entanglement bosonic Gaussian states in polynomial time
Tong Liu, Hui-Ke Jin, Tao Xiang +1
Bosonic Gaussian states are ubiquitous in quantum optics and condensed matter physics. While they are efficiently handled within the Gaussian formalism, sampling requires calculati…
Disentangling Tensor Network States with Deep Neural Network
Chaohui Fan, Bo Zhan, Yuntian Gu +5
We introduce Neural Tensor Network States (TNS), a variational many-body wave-function ansatz that integrates deep neural networks with tensor-network architectures. In the $ν…
Bridging conformal field theory and parton approaches to SU(n)_k chiral spin liquids
Tong Liu, Ying-Hai Wu, Hong-Hao Tu +1
We employ the Wess-Zumino-Witten (WZW) model in conformal field theory to construct lattice wave functions in both one and two dimensions. The spins on all latti…
Efficient conversion from fermionic Gaussian states to matrix product states
Tong Liu, Ying-Hai Wu, Hong-Hao Tu +1
Fermionic Gaussian states are eigenstates of quadratic Hamiltonians and are widely used in quantum many-body problems. We propose a highly efficient algorithm that converts fermion…
Thermodynamics of the Hubbard Model on the Bethe Lattice
Jia-Lin Chen, Zhen Fan, Bo Zhan +6
We investigate the thermodynamic properties of the Hubbard model on the Bethe lattice with a coordination number of 3 using the thermal canonical tree tensor network method. Our fi…