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Optimized Dynamical Decoupling in a Model Quantum Memory

机译:模型量子记忆中的优化动态解耦

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摘要

We present experimental measurements on a model quantum system thatdemonstrate our ability to dramatically suppress qubit error rates by theapplication of optimized dynamical decoupling pulse sequences in a variety ofexperimentally relevant noise environments. We provide the first demonstrationof an analytically derived pulse sequence developed by Uhrig, and find novelsequences through active, real-time experimental feedback. These new sequencesare specially tailored to maximize error suppression without the need for apriori knowledge of the ambient noise environment. We compare these sequencesagainst the Uhrig sequence, and the well established CPMG-style spin echo,demonstrating that our locally optimized pulse sequences outperform all othersunder test. Numerical simulations show that our locally optimized pulsesequences are capable of suppressing errors by orders of magnitude over otherexisting sequences. Our work includes the extension of a treatment to predictqubit decoherence under realistic conditions, including the use offinite-duration, square $\pi$ pulses, yielding strong agreement betweenexperimental data and theory for arbitrary pulse sequences. These resultsdemonstrate the robustness of qubit memory error suppression through dynamicaldecoupling techniques across a variety of qubit technologies.
机译:我们在模型量子系统上展示了实验测量结果,证明了我们通过在各种与实验相关的噪声环境中应用优化的动态去耦脉冲序列,可以极大地抑制量子比特误码率的能力。我们提供了由Uhrig开发的分析得出的脉冲序列的首次演示,并通过主动的实时实验反馈找到了新颖的序列。这些新序列经过特殊设计,可以最大程度地抑制错误,而无需先验地了解环境噪声环境。我们将这些序列与Uhrig序列进行了比较,并建立了完善的CPMG风格的自旋回波,这表明我们局部优化的脉冲序列在测试中优于其他所有脉冲序列。数值模拟表明,我们的局部优化脉冲序列能够将误差抑制到比其他现有序列高几个数量级。我们的工作包括扩展一种处理方法,以预测现实条件下的量子比特去相干性,包括使用有限持续时间,平方\ pi $脉冲,在实验数据和任意脉冲序列的理论之间产生强烈的一致性。这些结果证明了通过跨各种量子位技术的动态解耦技术来实现量子位内存错误抑制的鲁棒性。

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