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Trapped Ion Quantum Computing Superconducting Qubits

Two-qubit spectroscopy of spatiotemporally correlated quantum noise in superconducting qubits

arXiv
Authors: Uwe von Lüpke, Félix Beaudoin, Leigh M. Norris, Youngkyu Sung, Roni Winik, Jack Y. Qiu, Morten Kjaergaard, David Kim, Jonilyn Yoder, Simon Gustavsson, Lorenza Viola, William D. Oliver

Year

2019

Paper ID

39988

Status

Preprint

Abstract Read

~2 min

Abstract Words

167

Citations

N/A

Abstract

Noise that exhibits significant temporal and spatial correlations across multiple qubits can be especially harmful to both fault-tolerant quantum computation and quantum-enhanced metrology. However, a complete spectral characterization of the noise environment of even a two-qubit system has not been reported thus far. We propose and experimentally validate a protocol for two-qubit dephasing noise spectroscopy based on continuous control modulation. By combining ideas from spin-locking relaxometry with a statistically motivated robust estimation approach, our protocol allows for the simultaneous reconstruction of all the single-qubit and two-qubit cross-correlation spectra, including access to their distinctive non-classical features. Only single-qubit control manipulations and state-tomography measurements are employed, with no need for entangled-state preparation or readout of two-qubit observables. While our experimental validation uses two superconducting qubits coupled to a shared engineered noise source, our methodology is portable to a variety of dephasing-dominated qubit architectures. By pushing quantum noise spectroscopy beyond the single-qubit setting, our work paves the way to characterizing spatiotemporal correlations in both engineered and naturally occurring noise environments.

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  • This paper contributes to the Superconducting Qubits research area in the Quantum Articles archive.
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  • Noise that exhibits significant temporal and spatial correlations across multiple qubits can be especially harmful to both fault-tolerant quantum computation and...

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