32 citations · 59 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…
Digital quantum magnetism on a trapped-ion quantum computer
Reza Haghshenas, Eli Chertkov, Michael Mills +56
Digital quantum matter -- realized when discrete quantum gates approximate continuous time evolution -- is susceptible to heating into chaotic, structureless states. If digitizatio…
Tensor networks for quantum computing
Aleksandr Berezutskii, Minzhao Liu, Atithi Acharya +25
In the rapidly evolving field of quantum computing, tensor networks serve as an important tool due to their multifaceted utility. In this paper, we review the diverse applications…
The computational power of random quantum circuits in arbitrary geometries
Matthew DeCross, Reza Haghshenas, Minzhao Liu +49
Empirical evidence for a gap between the computational powers of classical and quantum computers has been provided by experiments that sample the output distributions of two-dimens…