Diagnostics of Mixed-State Topological Order and Breakdown of Quantum Memory

Ruihua Fan, Yimu Bao, Ehud Altman, Ashvin Vishwanath
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Abstract

Topological quantum memory can protect information against local errors up to finite error thresholds. Such thresholds are usually determined based on the success of decoding algorithms rather than the intrinsic properties of the mixed states describing corrupted memories. Here we provide an intrinsic characterization of the breakdown of topological quantum memory, which both gives a bound on the performance of decoding algorithms and provides examples of topologically distinct mixed states. We employ three information-theoretical quantities that can be regarded as generalizations of the diagnostics of ground-state topological order, and serve as a definition for topological order in error-corrupted mixed states. We consider the topological contribution to entanglement negativity and two other metrics based on quantum relative entropy and coherent information. In the concrete example of the two-dimensional (2D) Toric code with local bit-flip and phase errors, we map three quantities to observables in 2D classical spin models and analytically show they all undergo a transition at the same error threshold. This threshold is an upper bound on that achieved in any decoding algorithm and is indeed saturated by that in the optimal decoding algorithm for the Toric code.

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量子存储器的混合态拓扑秩序和崩溃诊断
拓扑量子存储器可以在有限误差阈值内保护信息免受局部误差的影响。这种阈值通常是根据解码算法的成功与否来确定的,而不是根据描述损坏存储器的混合状态的内在特性来确定的。在这里,我们提供了拓扑量子记忆崩溃的内在特征,既给出了解码算法性能的约束,又提供了拓扑上不同混合状态的例子。我们采用了三个信息理论量,它们可被视为对地面态拓扑阶序诊断的概括,并可作为错误破坏混合态拓扑阶序的定义。我们考虑了拓扑对纠缠负性的贡献,以及基于量子相对熵和相干信息的另外两个度量。以具有局部比特翻转和相位误差的二维 Toric 代码为例,我们将三个量映射为二维经典自旋模型中的观测量,并分析表明它们都在相同的误差阈值处发生了转变。这个阈值是任何解码算法都能达到的上限,而且托里克码的最优解码算法确实达到了这个阈值的饱和。
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