Non-Markovian Noise Characterization with the Transfer Tensor Method

Yu-Qin Chen, Kai-Li Ma, Yi-Cong Zheng, Jonathan Allcock, Shengyu Zhang, and Chang-Yu Hsieh
Phys. Rev. Applied 13, 034045 – Published 18 March 2020

Abstract

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.

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  • Received 21 July 2019
  • Revised 11 January 2020
  • Accepted 27 February 2020

DOI:https://doi.org/10.1103/PhysRevApplied.13.034045

© 2020 American Physical Society

Physics Subject Headings (PhySH)

Quantum Information, Science & Technology

Authors & Affiliations

Yu-Qin Chen1,2, Kai-Li Ma3, Yi-Cong Zheng1, Jonathan Allcock1, Shengyu Zhang1,3, and Chang-Yu Hsieh1,*

  • 1Tencent Quantum Laboratory, Tencent, Shenzhen, Guangdong 518057, China
  • 2International Center for Quantum Materials and School of Physics, Peking University, Beijing 100871, China
  • 3The Chinese University of Hong Kong, Hong Kong

  • *kim.hsieh@utoronto.ca

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Vol. 13, Iss. 3 — March 2020

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