Spectral Transfer Tensor Method for Non-Markovian Noise Characterization

• URL: http://arxiv.org/abs/2012.10094v1
• Date: Fri, 18 Dec 2020 08:10:06 GMT
• Title: Spectral Transfer Tensor Method for Non-Markovian Noise Characterization
• Authors: Yu-Qin Chen, Yi-Cong Zheng, Shengyu Zhang and Chang-Yu Hsieh
• Abstract summary: We propose an experimental protocol, termed Spectral Transfer Maps (SpecTTM), to accurately predict the non-Markovian measure of any Pauli channels. For Pauli channels, SpecTTM even allows the reconstruction of highly-precised noise power spectrum for qubits.
• Score: 14.862464401554103
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: 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.

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