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arXiv 2510.00548quant-phcond-mat.stat-mech
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量子图态的相变与噪声鲁棒性

Phase Transitions and Noise Robustness of Quantum Graph States

Chuo University(中央大学);The University of Electro-Communications(电气通信大学);Sanyo-Onoda City University(山阳小野田市立大学);Hiroshima University(广岛大学);Mitsubishi Electric Corporation(三菱电机株式会社);NTT Corporation(日本电信电话株式会社)

Tatsuya Numajiri, Shion Yamashika, Tomonori Tanizawa, Ryosuke Yoshii, Yuki Takeuchi, Shunji Tsuchiya

AI总结:

研究量子图态在IID Pauli噪声下的保真度,揭示其在不同维度和连接度下的相变行为及鲁棒性差异。

摘要:

图态是量子信息处理中至关重要的纠缠态。随着实验技术的进步,实现大规模图态成为可能,但精确保真度估计方法对评估其噪声鲁棒性至关重要。然而,由于稳定子数量呈指数增长,精确保真度计算变得不可行。本文表明,理想图态与其受IID Pauli噪声影响的态之间的保真度可以映射到经典自旋系统的配分函数,从而通过统计力学技术高效计算。通过此方法,我们分析了正则图态在去极化噪声下的保真度,并揭示了纯态区域与噪声主导区域之间的相变出现。具体而言,在二维中,当度数满足d≥6时才会出现相变,而在三维中则在d≥5时出现。然而,对于度数过高(如完全连接图)的图态,相变消失。因此,图态的噪声鲁棒性由其连接性和空间维度决定。连接度低或维度低的图态表现出平滑的过渡,具有更高的鲁棒性,而高度连接或高维的图态则更脆弱。极端连接度(如完全连接图态)恢复了鲁棒性。此外,我们还展示了保真度可以重写为约束渗透问题的配分函数形式。在此框架下,我们讨论了二维正则图态在d=6和d=5时关于相变存在与否的定性差异,以及完全连接图态的临界行为被抑制的情况。

英文摘要:

Graph states are entangled states that are essential for quantum information processing. As experimental advances enable the realization of large-scale graph states, efficient fidelity estimation methods are crucial for assessing their robustness against noise. However, calculations of exact fidelity become intractable for large systems due to the exponential growth in the number of stabilizers. In this work, we show that the fidelity between any ideal graph state and its noisy counterpart under IID Pauli noise can be mapped to the partition function of a classical spin system, enabling efficient computation via statistical mechanical techniques. Using this approach, we analyze the fidelity for regular graph states under depolarizing noise and uncover the emergence of phase transitions in fidelity between the pure-state regime and the noise-dominated regime. Specifically, in 2D, phase transitions occur only when the degree satisfies $d\ge 6$, while in 3D they already appear at $d\ge 5$. However, for graph states with excessively high degree, such as fully connected graphs, the phase transition disappears. Robustness of graph states against noise is thus determined by their connectivity and spatial dimensionality. Graph states with lower degree and/or dimensionality, which exhibit a smooth crossover, demonstrate greater robustness, while highly connected or higher-dimensional graph states are more fragile. Extreme connectivity, as the fully connected graph state possesses, restores robustness. Furthermore, we show that the fidelity can be rewritten in the form of the partition function of a constraint-percolation problem. Within this picture, we discuss the qualitative difference between 2D regular graph states with $d=6$ and $d=5$ regarding the presence or absence of a phase transition, as well as the suppressed critical behavior of fully connected graph states.

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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