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arXiv 1806.04686cond-mat.stat-mechcond-mat.str-elhep-thnlin.CDquant-ph
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噪声自旋系统中的纠缠产生和信息置乱

Entanglement production and information scrambling in a noisy spin system

Michael Knap

摘要:

我们研究了耦合到环境中的自旋系统中的纠缠和算符增长,该系统采用经典的退相噪声模型。利用精确的数值模拟,我们表明,纠缠增长和它的波动描述的Kardar-Parisi-Zhang方程。此外,我们发现,波前的时间有序相关器(OTOC),这是一个衡量运营商的增长,线性传播的蝴蝶速度和扩散扩大的扩散常数大于自旋输运。在有限噪声强度下,纠缠速度小于蝴蝶速度,但两者都被噪声强烈抑制。我们微扰计算如何有效的时间尺度依赖于噪声强度,无论是不相关的马尔可夫噪声和相关的非马尔可夫噪声。

英文摘要:

We study theoretically entanglement and operator growth in a spin system coupled to an environment, which is modeled with classical dephasing noise. Using exact numerical simulations we show that the entanglement growth and its fluctuations are described by the Kardar-Parisi-Zhang equation. Moreover, we find that the wavefront in the out-of-time ordered correlator (OTOC), which is a measure for the operator growth, propagates linearly with the butterfly velocity and broadens diffusively with a diffusion constant that is larger than the one of spin transport. The obtained entanglement velocity is smaller than the butterfly velocity for finite noise strength, yet both of them are strongly suppressed by the noise. We calculate perturbatively how the effective time scales depend on the noise strength, both for uncorrelated Markovian and for correlated non-Markovian noise.

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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