Published April 2, 2024 | Version v1
Journal article

Incremental SWAP operator for entanglement entropy: Application for exponential observables in quantum Monte Carlo simulation

Description

We propose a method to efficiently compute the entanglement entropy (EE) of quantum many-body systems. Our approach, called the incremental SWAP operator method, combines the simplicity of the SWAP operator used in projector quantum Monte Carlo simulations with recent advances in precisely computing exponential observables using incremental algorithms. We apply this technique to obtain accurate EE data at reduced computational cost for 1D and 2D antiferromagnetic Heisenberg models with different bipartition schemes. Using the computed EE data, we extract the area law coefficient, universal logarithmic corrections from Goldstone modes, and the geometric constant, finding quantitative agreement with analytical predictions. Moreover, in an unbiased numerical simulation of 2D antiferromagnetic Heisenberg model, we successfully obtain reliable universal logarithmic corrections from sharp corners that match expected theoretical values. The consistency between our numerical results and theoretical calculations demonstrates the power of our approach for accessing challenging universal entanglement properties. The extensions of our method to other quantum spin/boson models and the interacting fermion models are outlined.

Additional details

Identifiers

DOI
10.1103/PhysRevB.109.165106;
arXiv
arXiv:2401.07244;
Crossref Funder ID
10.13039/501100012166; 10.13039/501100001809; 10.13039/501100002920;

Publishing Information

Journal Title
Physical Review B
Journal Volume
109
Journal Issue
16
Journal Page Range
8 pgs.
ISSN
1550-235X

Optional Information

Copyright
©2024 American Physical Society
Contract/Grant/Project number
2022YFA1403400; 12374144
Notes
Contact Email: qiyang@fudan.edu.cn; Contact Email: ydliao@hku.hk; Record automatically processed
Funding organization
National Key Research and Development Program of China; National Natural Science Foundation of China; Research Grants Council, University Grants Committee