1 citations · 2 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…
Convergence of the Cumulant Expansion and Polynomial-Time Algorithm for Weakly Interacting Fermions
Hongrui Chen, Cambyse Rouzé, Jielun Chen +6
We propose a randomized algorithm to compute the log-partition function of weakly interacting fermions with polynomial runtime in both the system size and precision. Although weakl…
Framework for robust quantum speedups in practical correlated electronic structure and dynamics
Jielun Chen, Garnet Kin-Lic Chan
Proposed quantum advantage in electronic structure has so far required significant fine-tuning to find problems where classical heuristics fail. We describe how to obtain robust qu…
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…