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20242026
most citedAddressing general measurements in quantum Monte Carlo

2 citations · 4 across the 5 of their papers we have counts for

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cond-mat.str-el2026

Spontaneous continuous-symmetry breaking and tower of states in a comb chain

Jingya Wang, Zenan Liu, Bin-Bin Mao +4

Based on the study of a one-dimensional (1D) antiferromagnetic Heisenberg model on a comb lattice, this work identifies an example of spontaneous continuous symmetry breaking in a…

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-el2026

Universal and non-universal contributions of entanglement under different bipartitions

Zhe Wang, Chunhao Guo, Bin-Bin Mao +1

Entanglement entropy (EE) is a fundamental probe of quantum phases and critical phenomena, which was thought to reflect only bulk universality for a long time. Very recently, peopl…

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…