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arXiv 2408.03232quant-phcond-mat.stat-mech
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在 Aubry-André-Harper 关键性影响下增强弱 Stark 场的探测

Enhanced sensing of a weak Stark field under the influence of Aubry-André-Harper criticality

Harish-Chandra Research Institute, A CI of Homi Bhabha National Institute(哈拉·钱德拉研究所,霍米·巴巴国立学院成员机构)

Ayan Sahoo, Debraj Rakshit

AI总结:

在 Aubry-André-Harper 关键性影响下,通过两种局域化势提高弱 Stark 场探测精度,超越海森堡极限。

摘要:

局域化转变可以被利用为实现量子增强灵敏度在参数估计中的资源。我们证明,通过使用不同种类的局域化诱导势,可以显著提高参数估计的精度。具体来说,我们关注在 Aubry-André-Harper 局域化-去局域化转变影响下,一维费米晶格低能和高能本征态中编码的 Stark 强度参数的精确测量。对于基态,我们考虑单粒子系统,以及半填充系统。我们的研究表明,量子 Fisher 信息(QFI)相比纯 Stark 情况在系统规模上具有更优越的扩展性,从而导致更好的参数估计。然而,基于多体系统中保真度的 QFI 实验测量是一个重大挑战。为此,我们建议了实验相关操作符,可以用于实现超越海森堡极限(HL)或甚至饱和 QFI 扩展性的精度。这些操作符对于实际实验设置相关,提供了一条利用两种不同的局域化势来实现量子增强参数估计优势的可行途径。

英文摘要:

The localization transition can be exploited as a resource for achieving quantum-enhanced sensitivity in parameter estimation. We demonstrate that by employing different classes of localization inducing potentials, one can significantly enhance the precision of parameter estimation. Specifically, we focus on the precision measurement of the Stark strength parameter encoded in the low- and high-energy eigenstates of a one-dimensional fermionic lattice under the influence of Aubry-André-Harper localization-delocalization transition. For the ground state, we consider the single-particle system, in addition to the system at half filling. Our work reveals that Quantum Fisher Information (QFI) offers superior scaling with respect to the system size compared to the pure Stark case, leading to a better parameter estimation. However, experimental measurement of the QFI based on fidelity in a multibody system is a significant challenge. To address this, we suggest experimentally relevant operators that can be utilized to achieve precision surpassing the Heisenberg Limit (HL) or can even saturate the QFI scaling. These operators, relevant for practical experimental setups, provide a feasible pathway to harness the advantages offered by the localization-delocalization transition by exploiting two distinct localizing potentials for quantum-enhanced parameter 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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