Journal of Physics A Mathematical and Theoretical
Characterizing the Einstein–Podolsky–Rosen steering via a class of measurements
Ruo‐xiao Chen, Liang Tang
Abstract
Abstract Einstein–Podolsky–Rosen (EPR) steering represents a fundamental quantum resource in measurement theory and quantum information processing. However, determining steerability under general quantum measurements remains a challenging task, as existing methods often suffer from limitations such as high computational complexity, restricted applicability to low-dimensional systems, or dependence on specific classes of quantum states. To address this challenge, inspired by Lai and Luo (2022 Phys. Rev. A 106 042402) we propose a unified framework based on a class of informationally complete symmetric measurements. This framework naturally integrates established measurement paradigms, including mutually unbiased measurements and general symmetric informationally complete positive operator-valued measures, while offering enhanced versatility and flexibility. By leveraging the inherent mathematical symmetry of these measurements, we derive practical criteria for EPR steering through correlation matrices. Furthermore, the effectiveness of the proposed framework is rigorously validated on isotropic states, Werner states, and a 3 × 3 asymmetric state, respectively. As a result, this approach is both versatile and computationally efficient, significantly enhancing the ability to detect EPR steering and demonstrating strong potential for practical implementation in experimental quantum information protocols.