解码方法
水准点(测量)
算法
计算机科学
加权
编码(集合论)
匹配(统计)
复曲面代码
噪音(视频)
数学
量子
统计
量子计算机
人工智能
物理
集合(抽象数据类型)
图像(数学)
量子力学
声学
程序设计语言
地理
大地测量学
作者
Shilin Huang,Michael Newman,Kenneth R. Brown
出处
期刊:Physical review
[American Physical Society]
日期:2020-07-16
卷期号:102 (1)
被引量:41
标识
DOI:10.1103/physreva.102.012419
摘要
Quantum error correction requires decoders that are both accurate and efficient. To this end, union-find decoding has emerged as a promising candidate for error correction on the surface code. In this work, we benchmark a weighted variant of the union-find decoder on the toric code under circuit-level depolarizing noise. This variant preserves the almost-linear time complexity of the original while significantly increasing the performance in the fault-tolerance setting. In this noise model, weighting the union-find decoder increases the threshold from $0.38%$ to $0.62%$, compared to an increase from $0.65%$ to $0.72%$ when weighting a matching decoder. Further assuming quantum nondemolition measurements, weighted union-find decoding achieves a threshold of $0.76%$ compared to the $0.90%$ threshold when matching. We additionally provide comparisons of timing as well as low error rate behavior.
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