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arXiv 0812.5095quant-ph
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模型量子存储器中的最佳动力学解耦

Optimized Dynamical Decoupling in a Model Quantum Memory

Michael J. Biercuk, Hermann Uys, Aaron P. VanDevender, Nobuyasu Shiga, Wayne M. Itano, John J. Bollinger

摘要:

我们提出了一个模型量子系统的实验测量,证明我们有能力显着抑制量子比特的错误率的应用优化的动态去耦脉冲序列在各种实验相关的噪声环境。我们提供了第一个演示的分析推导的脉冲序列开发的Uhrig,并通过主动,实时的实验反馈发现新的序列。这些新的序列是专门定制的,以最大限度地抑制误差,而不需要周围噪声环境的先验知识。我们将这些序列与Uhrig序列和完善的CPMG式自旋回波进行比较,表明我们的局部优化脉冲序列优于测试中的所有其他序列。数值模拟表明,我们的局部优化脉冲序列能够抑制误差的数量级超过其他现有的序列。我们的工作包括扩展的治疗,以预测量子位退相干在现实条件下,包括使用有限的持续时间,平方$π$脉冲,产生强烈的协议之间的实验数据和理论的任意脉冲序列。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抑制量子位存储器错误的鲁棒性。

英文摘要:

We present experimental measurements on a model quantum system that demonstrate our ability to dramatically suppress qubit error rates by the application of optimized dynamical decoupling pulse sequences in a variety of experimentally relevant noise environments. We provide the first demonstration of an analytically derived pulse sequence developed by Uhrig, and find novel sequences through active, real-time experimental feedback. These new sequences are specially tailored to maximize error suppression without the need for a priori knowledge of the ambient noise environment. We compare these sequences against the Uhrig sequence, and the well established CPMG-style spin echo, demonstrating that our locally optimized pulse sequences outperform all others under test. Numerical simulations show that our locally optimized pulse sequences are capable of suppressing errors by orders of magnitude over other existing sequences. Our work includes the extension of a treatment to predict qubit decoherence under realistic conditions, including the use of finite-duration, square $π$ pulses, yielding strong agreement between experimental data and theory for arbitrary pulse sequences. These results demonstrate the robustness of qubit memory error suppression through dynamical decoupling techniques across a variety of qubit technologies.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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