On the correlation between entanglement and the negative sign problem
Ping Xu, Yang Shen, Yuan-Yao He, and Mingpu Qin

TL;DR
This paper investigates the relationship between entanglement entropy and the negative sign problem in quantum Monte Carlo simulations, revealing a correlation that highlights the computational difficulty in simulating strongly correlated systems.
Contribution
It demonstrates a correlation between entanglement entropy and the average sign in quantum Monte Carlo, providing new insights into simulation challenges for strongly correlated systems.
Findings
Entanglement entropy peaks at 20% doping.
Average sign dips at 20% doping.
Correlation between entanglement and sign problem observed.
Abstract
In this work, we study the correlation between entanglement and the negative sign problem in quantum Monte Carlo for the simulation of low-dimensional strongly correlated quantum many body systems. Entanglement entropy characterizes the difficulty of many-body simulation with tensor network state related methods, while the average sign measures the difficulty in many-body simulation for a variety of quantum Monte Carlo methods. Although there exist cases where one type of method works better than the other, it is desirable to find the possible correlation between entanglement and average sign for general hard strongly correlated systems regarding computational complexity. We take the doped two-dimensional Hubbard model as an example and numerically calculate the doping evolution of both the entanglement in the ground state with Density Matrix Renormalization Group and the average sign…
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Taxonomy
TopicsQuantum Mechanics and Applications · Benford’s Law and Fraud Detection
