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arXiv 2107.01628quant-phmath-phmath.MP
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通过张量网络技术研究Kitaev量子双重模型中的热化

Thermalization in Kitaev's quantum double models via Tensor Network techniques

Angelo Lucia, David Pérez-García, Antonio Pérez-Hernández

AI总结:

本文利用张量网络和体-边对应关系证明二维Kitaev量子双重模型的Davies生成元在热力学极限下谱隙非零,从而严格否定其作为自纠错量子存储器的可能性。

摘要:

我们证明,与任意二维Kitaev量子双重模型相关联的Davies生成元在热力学极限下具有非零的谱隙。这一结果严格验证了广泛持有的观点,即这些模型即使是在非阿贝尔情形下,也无法用作自纠错量子存储器。该证明利用了近期关于投影纠缠对态所对应的父哈密顿量谱隙刻画的思想与结果,其核心是基于体-边对应关系。

英文摘要:

We show that the Davies generator associated to any 2D Kitaev's quantum double model has a non-vanishing spectral gap in the thermodynamic limit. This validates rigorously the extended belief that those models are useless as self-correcting quantum memories, even in the non-abelian case. The proof uses recent ideas and results regarding the characterization of the spectral gap for parent Hamiltonians associated to Projected Entangled Pair States in terms of a bulk-boundary correspondence.

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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