论文标题
用于超导Qubit的动力脱钩：性能调查
Dynamical decoupling for superconducting qubits: a performance survey
论文作者
论文摘要
动力脱钩（DD）也许是改善量子计算机性能的最简单，最少的资源密集型错误抑制策略。在这里，我们报告了来自10个家庭的60个不同DD序列的性能的大规模调查，包括具有高阶误差取消属性和内置鲁棒性的基本和高级序列。该调查是使用三种不同的超导量IBMQ设备进行的，目的是评估不同序列在任意量子保存的情况下的相对性能。我们发现，高阶普遍鲁棒（UR）和二次DD（QDD）序列通常在设备和脉冲间隔设置之间优于所有其他序列。令人惊讶的是，我们发现可以通过优化脉冲间隔来使基本序列（例如CPMG和XY4）的DD性能几乎与UR和QDD匹配，而最佳间隔大大大于每个设备上可能的最小间隔。
Dynamical Decoupling (DD) is perhaps the simplest and least resource-intensive error suppression strategy for improving quantum computer performance. Here we report on a large-scale survey of the performance of 60 different DD sequences from 10 families, including basic as well as advanced sequences with high order error cancellation properties and built-in robustness. The survey is performed using three different superconducting-qubit IBMQ devices, with the goal of assessing the relative performance of the different sequences in the setting of arbitrary quantum state preservation. We find that the high-order universally robust (UR) and quadratic DD (QDD) sequences generally outperform all other sequences across devices and pulse interval settings. Surprisingly, we find that DD performance for basic sequences such as CPMG and XY4 can be made to nearly match that of UR and QDD by optimizing the pulse interval, with the optimal interval being substantially larger than the minimum interval possible on each device.
