arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2307.02407quant-phcond-mat.othercond-mat.stat-mech

自旋1链中的量子Fisher信息与多体纠缠

Quantum Fisher Information and multipartite entanglement in spin-1 chains

Federico Dell'Anna, Sunny Pradhan, Cristian Degli Esposti Boschi, Elisa Ercolessi

AI总结:

本文利用密度矩阵重正化群算法和张量网络技术,研究一维自旋1模型基态的量子Fisher信息,将其作为多体纠缠见证,以表征相图、研究拓扑相并恢复临界相序参量的标度维度。

摘要:

本文研究一维自旋1模型基态的量子Fisher信息(QFI),作为多体纠缠的见证。所涉模型为Bilinear-Biquadratic模型(最一般的各向同性SU(2)不变自旋1链)和XXZ自旋1链,均含最近邻相互作用和开边界条件。我们证明,严格非局域可观测量的QFI标度可用于表征相图,特别是研究拓扑相,在此相中其标度最大。通过分析其在临界相的行为,我们还能恢复局域和弦可观测量的序参量标度维度。数值结果利用密度矩阵重正化群算法和张量网络技术获得。

英文摘要:

In this paper, we study the ground state Quantum Fisher Information (QFI) in one-dimensional spin-1 models, as witness to Multipartite Entanglement. The models addressed are the Bilinear-Biquadratic model, the most general isotropic SU(2)-invariant spin-1 chain, and the XXZ spin-1 chain, both with nearest-neighbor interactions and open boundary conditions. We show that the scaling of the QFI of strictly non-local observables can be used for characterizing the phase diagrams and, in particular, for studying topological phases, where it scales maximally. Analysing its behavior at the critical phases we are also able to recover the scaling dimensions of the order parameters both for local and string observables. The numerical results have been obtained by exploiting the Density Matrix Renormalization Group algorithm and Tensor Network techniques.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

↑