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arXiv 2605.04463quant-ph
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Floquet 量子多参数估计与周期驱动诱导的拓扑相变

Floquet quantum multiparameter estimation with periodic-driving-induced topological phase transition

School of Physics, Xi’an Jiaotong University(西安交通大学物理学院)

Yu Yang, Yuyang Tang, Pei Zhang, Fuli Li

AI总结:

基于 Floquet 理论框架,提出一种适用于周期驱动系统的量子多参数估计策略,揭示了拓扑相变边界附近参数估计精度的海森堡极限增强及测量不相容性的振荡消失。

摘要:

周期驱动系统为量子多参数估计提供了强大的平台。通常,通过在适当的旋转框架中构建静态有效哈密顿量来评估可达到的精度。然而,对于更一般的时间周期驱动系统,这种方法变得不可行。为了解决这一困境,我们在 Floquet 理论框架中开发了一种量子多参数估计策略。分别确定了 Floquet 本征模、准能量和多光子过程对量子 Fisher 信息矩阵和测量不相容性的贡献。此外,该方法应用于一个展示拓扑相变(TPT)的环形 Rashba 自旋轨道干涉仪模型。在 TPT 边界附近,我们揭示了多个参数估计精度的显著增强,具有海森堡极限标度甚至更高。同时,测量不相容性以振荡方式消失,而频闪投影测量实现了可达到的最高估计精度。这项工作为时间依赖的临界量子多参数估计提供了完整的 Floquet 图像。

英文摘要:

Periodically driven systems provide a powerful platform for quantum multiparameter estimation. Constructing a static effective Hamiltonian in a proper rotating frame is commonly employed to assess the attainable precision. However, such an approach becomes nonfeasible for more general time-periodically driven systems. To tackle this dilemma, we develop a quantum multiparameter estimation strategy in the Floquet theory framework. The contributions of Floquet eigenmodes, quasienergies, and multi-photon processes to the quantum Fisher information matrix and measurement incompatibility are determined, respectively. Moreover, this approach is applied to a ring-shaped Rashba spin-orbit interferometer model exhibiting the topological phase transition (TPT). In the vicinity of the TPT boundary, we reveal a pronounced enhancement in the estimation precision of multiple parameters with the Heisenberg limit scaling and even higher. Meanwhile, the measurement incompatibility vanishes in an oscillatory manner, and the stroboscopic projective measurement enables the highest estimation precision achievable. This work provides a complete Floquet picture for time-dependent critical quantum multiparameter estimation.

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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