8 citations · 9 across the 5 of their papers we have counts for
6 papers
Extreme competition between stripes and superconductivity in the hole-doped Hubbard model
Ao Chen, Johnnie Gray, Si-Jing Du +1
The two-dimensional Hubbard model was originally proposed as the minimal model of uniform -wave superconductivity in the cuprate high-temperature superconductors, but recent cal…
Vectorized Symmetric and Fermionic Tensor Network Implementations for GPU-Accelerated Variational Monte Carlo
Si-Jing Du, Johnnie Gray, Ao Chen +1
Variational Monte Carlo (VMC) calculations based on tensor networks (TN) have recently achieved competitive accuracy in ground-state calculations of strongly correlated spin and fe…
Statistical mechanics in continuous space with tensor network methods
Gunhee Park, Tomislav Begušić, Si-Jing Du +2
Tensor network (TN) methods are well established for computing partition functions in statistical mechanics, though this use has traditionally been limited to lattice models. We ex…
Edge Hamiltonian for Free Fermion Quantum Hall Models
Simon Du, Martin Fraas, Abi Gopal +1
We investigate a proposal of Kitaev for a microscopic construction of a Hamiltonian intended to describe the edge dynamics of a quantum Hall system. We show that the construction w…
Neuralized Fermionic Tensor Networks for Quantum Many-Body Systems
Si-Jing Du, Ao Chen, Garnet Kin-Lic Chan
We describe a class of neuralized fermionic tensor network states (NN-fTNS) that introduce non-linearity into fermionic tensor networks through configuration-dependent neural netwo…
Tensor Network Computations That Capture Strict Variationality, Volume Law Behavior, and the Efficient Representation of Neural Network States
Wen-Yuan Liu, Si-Jing Du, Ruojing Peng +2
We introduce a change of perspective on tensor network states that is defined by the computational graph of the contraction of an amplitude. The resulting class of states, which we…