most citedAddressing general measurements in quantum Monte Carlo

2 citations · 2 across the 3 of their papers we have counts for

collaborators

6 papers

cond-mat.stat-mech2026

Boundary Renormalization Group Flow of Entanglement Entropy at a (2+1)-Dimensional Quantum Critical Point

Zhiyan Wang, Zhe Wang, Yi-Ming Ding +3

We investigate the second-order Rényi entanglement entropy at the quantum critical point of a spin-1/2 antiferromagnetic Heisenberg model on a columnar dimerized square lattice. T…

cond-mat.str-el2026

Generalized Reduced-Density-Matrix Quantum Monte Carlo Gives Access to More

Zhiyan Wang, Zhe Wang, Bin-Bin Mao +1

For a long time, people have been focusing on how to extract more information, such as off-diagonal observables, from the quantum Monte Carlo (QMC) simulation of the partition func…

cond-mat.str-el20262 cited

Addressing general measurements in quantum Monte Carlo

Zhiyan Wang, Zenan Liu, Bin-Bin Mao +2

Quantum Monte Carlo is one of the most promising approaches for dealing with large-scale quantum many-body systems. It has played an extremely important role in understanding stron…

cond-mat.str-el2025

Universal Behavior in Entanglement Entropy Reveals Quantum Criticality and Underlying Symmetry Breaking

Zhe Wang, Zehui Deng, Zenan Liu +5

Entanglement plays a key role in quantum physics, but how much information it can extract from many-body systems is still an open question, particularly regarding quantum criticali…

cond-mat.str-el2025

Tracking the variation of entanglement Rényi negativity: a quantum Monte Carlo study

Yi-Ming Ding, Yin Tang, Zhe Wang +3

Entanglement entropy has been a powerful tool for analyzing phases and criticality in pure ground states via quantum Monte Carlo (QMC). However, mixed-state entanglement, relevant…

cond-mat.str-el2025

Bipartite reweight-annealing algorithm of quantum Monte Carlo to extract large-scale data of entanglement entropy and its derivative

Zhe Wang, Zhiyan Wang, Yi-Ming Ding +2

We propose a quantum Monte Carlo scheme capable of extracting large-scale data of Rényi entanglement entropy (EE) with high precision and low technical barrier. Instead of directl…