Performance of various correlation measures in quantum renormalization-group method: A case study of quantum phase transition
Yao Yao, Hong-Wei Li, Chun-Mei Zhang, Zhen-Qiang Yin, Guang-Can Guo,, and Zheng-Fu Han

TL;DR
This study evaluates various quantum correlation measures within the quantum renormalization group framework to detect quantum phase transitions, revealing that some measures outperform entanglement in identifying critical points.
Contribution
It introduces a comprehensive comparison of multiple quantum correlation measures in the QRG method, highlighting their effectiveness in detecting quantum criticality beyond entanglement.
Findings
All measures effectively detect quantum critical points.
Some quantum correlations persist even when entanglement vanishes.
CHSH inequality does not reveal block-block entanglement.
Abstract
We have investigated quantum phase transition employing the quantum renormalization group (QRG) method while in most previous literature barely entanglement (concurrence) has been demonstrated. However, it is now well known that entanglement is not the only signature of quantum correlations and a variety of computable measures have been developed to characterize quantum correlations in the composite systems. As an illustration, two cases are elaborated: one dimensional anisotropic (i) XXZ model and (ii) XY model, with various measures of quantum correlations, including quantum discord (QD), geometric discord (GD), measure-induced disturbance (MID), measure-induced nonlocality (MIN) and violation of Bell inequalities (eg. CHSH inequality). We have proved that all these correlation measures can effectively detect the quantum critical points associated with quantum phase transitions (QPT)…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
