We analyze the temporal correlations in a sequence of gates by characterizing the performance of a gate conditioned on the gate that preceded it. With this method, we estimate (i) the size of fluctuations in the performance of a gate, i.e., errors due to non-Markovianity; (ii) the length of the memory; and (iii) the total size of the memory. Our results strongly indicate the presence of nontrivial non-Markovian effects in almost all gates in the universal set. However, based on our findings, we discuss the potential for cleaner computation by adequately accounting the non-Markovian nature of the machine.

中文翻译：

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量化超导量子计算机中的非马尔可夫记忆

我们通过描述以之前的门为条件的门的性能来分析门序列中的时间相关性。使用这种方法，我们估计 (i) 门性能波动的大小，即由于非马尔可夫性引起的误差；(ii) 记忆的长度；(iii) 内存的总大小。我们的结果强烈表明，在通用集中的几乎所有门中都存在非平凡的非马尔可夫效应。然而，根据我们的发现，我们通过充分考虑机器的非马尔可夫性质来讨论更清洁计算的潜力。