论文标题
非马克维亚噪声表征的光谱传输张量法
Spectral Transfer Tensor Method for Non-Markovian Noise Characterization
论文作者
论文摘要
随着制造量子设备的质量的持续改进，分析嘈杂的量子过程越来越至关重要，例如以定量方式来表征非马克维亚性。在这项工作中，我们提出了一种实验方案，称为光谱传递张量图（Specttm），以准确预测任何没有状态预先准备和测量（SPAM）误差的Pauli通道的RHP非马克维亚度量。实际上，对于Pauli通道，Specttm甚至允许重建量子量高的噪声功率谱。最后，我们还讨论了通过Pauli旋转以最佳的基础旋转的非毛利语通道的非马克维亚通道的近似性表征如何有用。
With continuing improvements on the quality of fabricated quantum devices, it becomes increasingly crucial to analyze noisy quantum process in greater details such as characterizing the non-Markovianity in a quantitative manner. In this work, we propose an experimental protocol, termed Spectral Transfer Tensor Maps (SpecTTM), to accurately predict the RHP non-Markovian measure of any Pauli channels without state-preparation and measurement (SPAM) errors. In fact, for Pauli channels, SpecTTM even allows the reconstruction of highly-precised noise power spectrum for qubits. At last, we also discuss how SpecTTM can be useful to approximately characterize non-Markovianity of non-Pauli channels via Pauli twirling in an optimal basis.
