activity
19932026
most citedObservation of antiferromagnetic correlations in the Hubbard model with ultracold atoms

440 citations · 9k across the 228 of their papers we have counts for

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120 papers · 1 filter

cond-mat.str-el2026

Finite-momentum pairing and magnetic halos in a spin-imbalanced Holstein model

Chunhan Feng, George Batrouni, Richard Scalettar

Fulde-Ferrell-Larkin-Ovchinnikov (FFLO) superconductivity, Cooper pairing at finite-momentum driven by spin imbalance, remains difficult to study numerically in two dimensions. The…

cond-mat.str-el2026

Sign problem and criticality in world-line quantum Monte Carlo methods

Rubem Mondaini, Richard T. Scalettar

Discussions of the sign problem usually focus on its role as the primary limitation of the applicability of quantum Monte Carlo methods for reliably solving quantum many-body model…

cond-mat.str-el2026★ 1 cited

Real-space topology and charge order in the Haldane-Holstein Model

Sebastião dos Anjos Sousa-Júnior, Julián Faúndez, Tarik P. Cysne +2

We study the half-filled Haldane-Holstein model, where a paradigmatic Chern insulator is coupled to fully dynamical phonons, and provide an unbiased characterization of how retarde…

cond-mat.str-el2025

Sign-Resolved Statistics and the Origin of Bias in Quantum Monte Carlo

Ryan Larson, Rubem Mondaini, Richard T. Scalettar

Quantum simulations are a powerful tool for exploring strongly correlated many-body phenomena. Yet, their reach is limited by the fermion sign problem, which causes configuration w…

cond-mat.str-el2025

Photodynamic melting of phase-reversed charge stripes and enhanced condensation

Jianhao Sun, Richard T. Scalettar, Rubem Mondaini

The interplay between charge stripes and pairing has long been a subject of scrutiny in a broad class of unconventional superconductors, as in some cases it is unclear whether this…

cond-mat.str-el2024★ 9 cited

Autoregressive neural quantum states of Fermi Hubbard models

Eduardo Ibarra-García-Padilla, Hannah Lange, Roger G Melko +4

Neural quantum states (NQS) have emerged as a powerful ansatz for variational quantum Monte Carlo studies of strongly-correlated systems. Here, we apply recurrent neural networks (…