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arXiv 2105.04478quant-ph
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相干噪声下表面码容错量子纠错的抽样准概率模拟

Sampling-based quasiprobability simulation for fault-tolerant quantum error correction on the surface codes under coherent noise

Shigeo Hakkaku, Kosuke Mitarai, Keisuke Fujii

摘要:

提出了一种基于采样的相干噪声下的容错量子纠错仿真方法。非相干和相干噪声的混合物,可能是由于过度旋转,分解成Clifford信道的quasiprobibility分布。然后,通过对Clifford信道进行采样并进行适当的后处理,构造了逻辑错误概率的无偏估计器。我们通过信道鲁棒性的采样成本的特点,并发现所提出的基于采样的方法是可行的,即使是平面表面码具有相对较大的代码距离难以处理的全状态矢量模拟。作为演示,我们模拟重复错误的征测量上的平面表面码的距离为5与81量子位。我们发现,相干错误增加了逻辑错误率。这是准概率模拟在有意义的任务中的实际应用,对于探索近期量子器件上的实验量子纠错将是有用的。

英文摘要:

We propose a sampling-based simulation for fault-tolerant quantum error correction under coherent noise. A mixture of incoherent and coherent noise, possibly due to over-rotation, is decomposed into Clifford channels with a quasiprobability distribution. Then, an unbiased estimator of the logical error probability is constructed by sampling Clifford channels with an appropriate postprocessing. We characterize the sampling cost via the channel robustness and find that the proposed sampling-based method is feasible even for planar surface codes with relatively large code distances intractable for full state-vector simulations. As a demonstration, we simulate repetitive faulty syndrome measurements on the planar surface code of distance 5 with 81 qubits. We find that the coherent error increases the logical error rate. This is a practical application of the quasiprobability simulation for a meaningful task and would be useful to explore experimental quantum error correction on the near-term quantum devices.

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