33 citations · 60 across the 5 of their papers we have counts for
6 papers
Study of the triangular-lattice Hubbard model with constrained-path quantum Monte Carlo
Shu Fay Ung, Ankit Mahajan, David R. Reichman
We benchmark constrained-path Monte Carlo (CPMC) on the triangular-lattice Hubbard model for several fillings and values and show that symmetry-adapted trial wave functions sub…
Accurate crystal field Hamiltonians of single-ion magnets at mean-field cost
Linqing Peng, Shuanglong Liu, Xing Zhang +4
The effective crystal field Hamiltonian provides the key description of the electronic properties of single-ion magnets, but obtaining its parameters from ab initio computation is…
Improved modularity and new features in ipie: Toward even larger AFQMC calculations on CPUs and GPUs at zero and finite temperatures
Tong Jiang, Moritz K. A. Baumgarten, Pierre-François Loos +6
ipie is a Python-based auxiliary-field quantum Monte Carlo (AFQMC) package that has undergone substantial improvements since its initial release [J. Chem. Theory Comput., 2023, 19(…
Competing Generalized Wigner Crystal States in Moiré Heterostructures
Shu Fay Ung, Joonho Lee, David R. Reichman
We present a comprehensive study of generalized Wigner crystals across various filling factors for system sizes up to 162 holes employing Hartree-Fock theory and explicitly correla…
Quantum simulation of exact electron dynamics can be more efficient than classical mean-field methods
Ryan Babbush, William J. Huggins, Dominic W. Berry +6
Quantum algorithms for simulating electronic ground states are slower than popular classical mean-field algorithms such as Hartree-Fock and density functional theory, but offer hig…
Measurement reduction in variational quantum algorithms
Andrew Zhao, Andrew Tranter, William M. Kirby +3
Variational quantum algorithms are promising applications of noisy intermediate-scale quantum (NISQ) computers. These algorithms consist of a number of separate prepare-and-measure…