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arXiv 2511.21079quant-ph
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见证楔在保真度-偏差平面中的应用:分离量子 teleportation 优势与贝尔不等式违反

Witness wedges in fidelity-deviation plane: separating teleportation advantage and Bell-inequality violation

Yonsei University(延世大学)

Kyoungho Cho, Jeongho Bang

AI总结:

本文提出统一框架分析d维量子 teleportation,通过两个互补指标的几何联合分析平均保真度F和保真度偏差D,推导出闭式表达式并给出紧密界限,将(F,D)平面转化为校准诊断图,分离teleportation优势与贝尔不等式违反。

摘要:

我们开发了一个统一框架来分析d维量子 teleportation,通过两个互补指标的几何联合分析平均保真度F(协议在平均上的表现)和保真度偏差D(在输入上的均匀性)。技术上,我们基于Schur-Weyl对偶性和排列对称性微积分构建了表示论框架,将高阶矩Haar平均减少为由复合修正幺正算符的迹不变量组成的有限集合。这为任意希尔伯特空间维度下F和D提供了闭式表达式,并给出了紧密界限,将允许的偏差直接与最优平均性能的差距联系起来。特别是,任何测量对(F,D)可以转换为各向同性信道资源的可见性估计,将(F,D)平面转化为校准诊断图。我们进一步将teleportation优势和CGLMP不等式违反作为(F,D)平面中的两个见证线:一条线证明F超过经典基准2/(d+1),另一条线证明贝尔非局域性。它们相同的斜率但不同的截距揭示了“纠缠却局域”和“真正非局域”资源之间的定量差距。

英文摘要:

We develop a unified framework to analyze $d$-dimensional quantum teleportation through the joint geometry of two complementary figures of merit: average fidelity $F$ (how well a protocol works on average) and fidelity deviation $D$ (how uniformly it works across the inputs). Technically, we formulate a representation-theoretical framework based on Schur-Weyl duality and permutation symmetry calculus that reduce the higher-moment Haar averages to a finite set of trace invariants of the composed correction unitaries. This yields closed-form expressions for $F$ and $D$ in arbitrary Hilbert-space dimension and delivers tight bounds that link the admissible deviation directly to the gap from the optimal average performance. In particular, any measured pair $(F, D)$ can be ported into a visibility estimate for isotropic channel resources, turning the $(F, D)$-plane into a calibrated diagnostic map. We further cast the teleportation advantage and CGLMP-inequality violation as two witnesses lines in the $(F,D)$ plane: one line certifies that $F$ beats the classical benchmark $2/(d{+}1)$, while the other line certifies the Bell nonlocality. Their identical slope but distinct intercepts expose a quantitative gap between "entangled yet local" and "genuinely nonlocal" resources.

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。

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