most citedEmergent gauge flux in mixed QED with flavor chemical potential: application to magnetized U(1) Dirac spin liquids

1 citations · 1 across the 3 of their papers we have counts for

collaborators

7 papers

cond-mat.mes-hall2026

Higher-Order Topological States with Cleavage-Dependent Dirac Mass

Hongyu Chen, Min Long, Chuang Chen +1

Topological quantum chemistry based on local charge profiles lacks predictive power for the crystalline cleavage of higher-order topological insulators (HOTIs). By cleaving an obst…

cond-mat.str-el2026

Deconfined criticality between an antiferromagnetic insulator and a nodal d-wave superconductor: a quantum Monte Carlo study

Chuang Chen, Subir Sachdev, Zi Yang Meng

We present a quantum Monte Carlo study of the transition between the insulating Néel state and the nodal -wave superconductor on the square lattice at half-filling. We access a…

cond-mat.str-el20261 cited

Emergent gauge flux in mixed QED with flavor chemical potential: application to magnetized U(1) Dirac spin liquids

Chuang Chen, Urban F. P. Seifert, Kexin Feng +3

We design a lattice model of a "mixed" U(1) gauge field coupled to fermions with a flavor chemical potential and solve it with large-scale determinant quantum Monte Carlo simulatio…

cond-mat.str-el2026

Scalable hybrid quantum Monte Carlo simulation of U(1) gauge field coupled to fermions on GPU

Kexin Feng, Chuang Chen, Zi Yang Meng

We develop a GPU-accelerated hybrid quantum Monte Carlo (QMC) algorithm to solve the fundamental yet difficult problem of gauge field coupled to fermions, which gives rise t…

quant-ph2025

Universal non-Hermitian transport in disordered systems

Bo Li, Chuan Chen, Zhong Wang

In disordered Hermitian systems, localization of energy eigenstates prohibits wave propagation. In non-Hermitian systems, however, wave propagation is possible even when the eigens…

cond-mat.str-el2025

Self-learning Monte Carlo Method: A Review

Gaopei Pan, Chuang Chen, Zi Yang Meng

The Self-Learning Monte Carlo (SLMC) method is a Monte Carlo approach that has emerged in recent years by integrating concepts from machine learning with conventional Monte Carlo t…