activity
20022026
most citedVariational quantum Monte Carlo simulations with tensor-network states

172 citations · 889 across the 15 of their papers we have counts for

collaborators

14 papers

cond-mat.str-el2026

Imaginary-time correlations in time-sliced stochastic series expansion

Ryan Flynn, Adam Iaizzi, Sibin Yang +2

Combined with numerical analytic continuation techniques, quantum Monte Carlo (QMC) methods enable the extraction of real-frequency dynamical properties from imaginary-time correla…

cond-mat.str-el2025

Single-hole spectral functions in one-dimensional quantum magnets with different ground states

Sibin Yang, Gabe Schumm, Bowen Zhao +1

Recent advances in numerical analytic continuation with physics-motivated constraints allow sharp spectral features to be extracted from imaginary-time quantum Monte Carlo (QMC) da…

cond-mat.str-el2025★ 5 cited

Single-Particle Dispersion and Density of States of the Half-Filled 2D Hubbard Model

Gabe Schumm, Shiwei Zhang, Anders W. Sandvik

Implementing an improved method for analytic continuation and working with imaginary-time correlation functions computed using quantum Monte Carlo simulations, we resolve the singl…

quant-ph2025

Comment on: "Dynamics of disordered quantum systems with two- and three-dimensional tensor networks" arXiv:2503.05693

Andrew D. King, Alberto Nocera, Marek M. Rams +8

In a recent preprint [1] (arXiv:2503.05693), Tindall et al. presented impressive classical simulations of quantum dynamics using tensor networks. Their methods represent a signific…

cond-mat.stat-mech2024

Using operator covariance to disentangle scaling dimensions in lattice models

Anders W. Sandvik

In critical lattice models, distance () dependent correlation functions contain power laws governed by scaling dimensions of an underlying continuum field theory.…

cond-mat.str-el2024★ 4 cited

Cross Validation in Stochastic Analytic Continuation

Gabe Schumm, Sibin Yang, Anders W. Sandvik

Stochastic Analytic Continuation (SAC) of Quantum Monte Carlo (QMC) imaginary-time correlation function data is a valuable tool in connecting many-body models to experimentally mea…