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arXiv 2209.08080quant-phphysics.atm-clus

在空间无序海森堡自旋系统中观测到与各向异性无关的磁化动力学

Observation of anisotropy-independent magnetization dynamics in spatially disordered Heisenberg spin systems

Titus Franz, Sebastian Geier, Clément Hainaut, Adrian Braemer, Nithiwadee Thaicharoen, Moritz Hornung, Eduard Braun, Martin Gärttner, Gerhard Zürn, Matthias Weidemüller

AI总结:

本文在Rydberg原子系综中实现无序海森堡XX、XXZ和Ising模型,实验发现不同各向异性下磁化弛豫均呈拉伸指数行为并可重标度到同一曲线,揭示强无序下近似独立自旋对作为局域运动积分导致该普适短时动力学。

摘要:

朝着全面理解量子多体系统远离平衡态动力学迈出的重要一步,是识别那些独立于系统微观细节的统一特征。我们在无序海森堡 XX、XXZ 和 Ising 哈密顿量的磁化弛豫动力学中实验观测到了这类鲁棒特征。我们通过将自旋编码到合适的 Rydberg 态组合中,在一个 Rydberg 原子系综里实现了这些具有可调各向异性参数和幂律相互作用的海森堡自旋模型。对于所有考虑的自旋模型,我们一致观测到磁化的拉伸指数弛豫,并且在对时间进行适当重标度后,这些曲线坍缩到一条单一曲线上。这种鲁棒的短时弛豫行为可以通过一种微扰处理来解释,该处理利用了成对耦合中的强无序性,从而将系统描述为近似独立的自旋对。在小系统的数值模拟中,我们表明这些自旋对构成近似的局域运动积分,在超过磁化弛豫动力学持续时间的时间尺度上,它们至少保持部分守恒。

英文摘要:

An important step towards a comprehensive understanding of far-from-equilibrium dynamics of quantum many-body systems is the identification of unifying features that are independent of microscopic details of the system. We experimentally observe such robust features in the magnetization relaxation dynamics of disordered Heisenberg XX-, XXZ- and Ising Hamiltonians. We realize these Heisenberg spin models with tunable anisotropy parameter and power-law interactions in an ensemble of Rydberg atoms by encoding the spin in suitable Rydberg state combinations. We consistently observe stretched-exponential relaxation of magnetization for all considered spin models, collapsing onto a single curve after appropriate rescaling of time. This robust short-time relaxation behavior is explained by a perturbative treatment that exploits the strong disorder in pairwise couplings, which leads to a description in terms of approximately independent pairs of spins. In numerical simulations of small systems, we show that these pairs of spins constitute approximate local integrals of motion, which remain at least partially conserved on a timescale exceeding the duration of the relaxation dynamics of the magnetization.

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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