arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2006.12355quant-phcond-mat.str-el
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在噪声量子计算机上探测多体局域化

Probing many-body localization on a noisy quantum computer

D. Zhu, S. Johri, N. H. Nguyen, C. Huerta Alderete, K. A. Landsman, N. M. Linke, C. Monroe, A. Y. Matsuura

摘要:

当无序度大于相互作用强度时,相互作用粒子的无序系统表现出定域行为。在没有纠错的量子计算机上研究这种现象是具有挑战性的,因为即使是与热环境的弱耦合也会破坏大多数局域化特征。幸运的是,局部算子的谱函数已知包含可以在噪声存在下生存的特征。在这些光谱中,与热相相比,在低频处的离散峰和软间隙指示本地化。本文介绍了在囚禁离子量子计算机上计算一维无序海森堡模型的谱函数。此外,我们设计了一个错误缓解技术,这是有效地从测量中去除噪声,允许清晰的本地化签名出现的混乱增加。因此,我们表明,谱函数可以作为一个强大的和可扩展的诊断多体局域化的当前一代的量子计算机。

英文摘要:

A disordered system of interacting particles exhibits localized behavior when the disorder is large compared to the interaction strength. Studying this phenomenon on a quantum computer without error correction is challenging because even weak coupling to a thermal environment destroys most signatures of localization. Fortunately, spectral functions of local operators are known to contain features that can survive the presence of noise. In these spectra, discrete peaks and a soft gap at low frequencies compared to the thermal phase indicate localization. Here, we present the computation of spectral functions on a trapped-ion quantum computer for a one-dimensional Heisenberg model with disorder. Further, we design an error-mitigation technique which is effective at removing the noise from the measurement allowing clear signatures of localization to emerge as the disorder increases. Thus, we show that spectral functions can serve as a robust and scalable diagnostic of many-body localization on the current generation of quantum computers.

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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