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Non-Markovian Noise Characterization with the Transfer Tensor Method

delete2020-03-18
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陈玉琴 封面图
陈玉琴 (Yuqin Chen)
K
Kaili Ma
Y
Yi-Cong Zheng
J
Jonathan Allcock
S
Shengyu Zhang
C
Chang‐Yu Hsieh *
DOI:10.1103/PhysRevApplied.13.034045delete
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摘要

摘要

En 中文
We propose simple protocols for performing quantum noise spectroscopy based on the method of transfer tensor maps (TTMs) [Cerrillo and Cao, Phys. Rev. Lett. 112, 110401 (2014)]. The TTM approach is a systematic way to deduce the memory kernel of a time-nonlocal quantum master equation via quantum process tomography. With access to the memory kernel, it is possible to (1) assess the non-Markovianity of a quantum process, (2) reconstruct the noise spectral density beyond pure-dephasing models, and (3) investigate collective decoherence in multiqubit devices. We illustrate the usefulness of TTM spectroscopy on the IBM Quantum Experience platform, and demonstrate that the qubits in the IBM device are subject to mild non-Markovian dissipation with spatial correlations.
Keyword:
PROCESS TOMOGRAPHY
QUANTUM PROCESS
DYNAMICS
STATE
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Physical Review Applied 封面图
Physical Review Applied
IF:
4.4
论文数:
7.1K
被引数:
2.8W

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P
peking university
学者数:
11.9W
论文数: 8.7W
被引数: 146
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