Physical Review Applied · 2020 · 41 citations · 60 references
Transfer Tensor MapsEngineeringNon-markovian Noise CharacterizationTtm ApproachStatistical Signal ProcessingQuantum ComputingHidden Markov ModelNoiseQuantum EntanglementBiophysicsQuantum ScienceQuantum TomographyPhysicsTtm SpectroscopyQuantum InformationSignal ProcessingQuantum DecoherenceNatural SciencesApplied PhysicsMarkov KernelSpeech ProcessingQuantum SystemQuantum Error Correction
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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