English

Evaluating many-body stabilizer R\'enyi entropy by sampling reduced Pauli strings: singularities, volume law, and nonlocal magic

Quantum Physics 2025-05-20 v3 Strongly Correlated Electrons Computational Physics Data Analysis, Statistics and Probability

Abstract

We present a novel quantum Monte Carlo method for evaluating the α\alpha-stabilizer R\'enyi entropy (SRE) for any integer α2\alpha\ge 2. By interpreting α\alpha-SRE as partition function ratios, we eliminate the sign problem in the imaginary-time path integral by sampling \emph{reduced Pauli strings} within a \emph{reduced configuration space}, which enables efficient classical computations of α\alpha-SRE and its derivatives to explore magic in previously inaccessible 2D/higher-dimensional systems. We first isolate the free energy part in 22-SRE, which is a trivial term. Notably, at quantum critical points in 1D/2D transverse field Ising (TFI) models, we reveal nontrivial singularities associated with the \emph{characteristic function} contribution, directly tied to magic. Their interplay leads to complicated behaviors of 22-SRE, avoiding extrema at critical points generally. In contrast, analyzing the volume-law correction to SRE reveals a discontinuity tied to criticalities, suggesting that it is more informative than the full-state magic. For conformal critical points, we claim it could reflect nonlocal magic residing in correlations. Finally, we verify that 22-SRE fails to characterize magic in mixed states (e.g. Gibbs states), yielding nonphysical results. This work provides a powerful tool for exploring the roles of magic in large-scale many-body systems, and reveals intrinsic relation between magic and many-body physics.

Keywords

Cite

@article{arxiv.2501.12146,
  title  = {Evaluating many-body stabilizer R\'enyi entropy by sampling reduced Pauli strings: singularities, volume law, and nonlocal magic},
  author = {Yi-Ming Ding and Zhe Wang and Zheng Yan},
  journal= {arXiv preprint arXiv:2501.12146},
  year   = {2025}
}

Comments

15 pages, 12 figures