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Non-Gaussian noise spectroscopy with a superconducting qubit sensor

Authors :
Massachusetts Institute of Technology. Research Laboratory of Electronics
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Lincoln Laboratory
Massachusetts Institute of Technology. Department of Physics
Sung, Youngkyu
Beaudoin, Félix
Norris, Leigh M
Yan, Fei
Kim, David K
Qiu, Jack Y
von Lüpke, Uwe
Yoder, Jonilyn L
Orlando, Terry P
Gustavsson, Simon
Viola, Lorenza
Oliver, William D
Massachusetts Institute of Technology. Research Laboratory of Electronics
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Lincoln Laboratory
Massachusetts Institute of Technology. Department of Physics
Sung, Youngkyu
Beaudoin, Félix
Norris, Leigh M
Yan, Fei
Kim, David K
Qiu, Jack Y
von Lüpke, Uwe
Yoder, Jonilyn L
Orlando, Terry P
Gustavsson, Simon
Viola, Lorenza
Oliver, William D
Source :
Nature
Publication Year :
2021

Abstract

© 2019, The Author(s). Accurate characterization of the noise influencing a quantum system of interest has far-reaching implications across quantum science, ranging from microscopic modeling of decoherence dynamics to noise-optimized quantum control. While the assumption that noise obeys Gaussian statistics is commonly employed, noise is generically non-Gaussian in nature. In particular, the Gaussian approximation breaks down whenever a qubit is strongly coupled to discrete noise sources or has a non-linear response to the environmental degrees of freedom. Thus, in order to both scrutinize the applicability of the Gaussian assumption and capture distinctive non-Gaussian signatures, a tool for characterizing non-Gaussian noise is essential. Here, we experimentally validate a quantum control protocol which, in addition to the spectrum, reconstructs the leading higher-order spectrum of engineered non-Gaussian dephasing noise using a superconducting qubit as a sensor. This first experimental demonstration of non-Gaussian noise spectroscopy represents a major step toward demonstrating a complete spectral estimation toolbox for quantum devices.

Details

Database :
OAIster
Journal :
Nature
Notes :
application/pdf, English
Publication Type :
Electronic Resource
Accession number :
edsoai.on1286400671
Document Type :
Electronic Resource