Random pulse sequences for qubit noise spectroscopy

Qubit noise spectroscopy is an important tool for the experimental investigation of open quantum systems. However, conventional techniques for noise spectroscopy are time-consuming, because they require measurements of the noise spectral density at many different frequencies. Here we describe an alternative approach to noise spectroscopy, which requires fewer resources, and relies on direct measurement of arbitrary linear functionals of the noise spectral density. This method uses random pulse sequences with carefully controlled correlations, which are chosen using algorithms for phase retrieval. These measurements allow us to reconstruct sparse noise spectra via compressed sensing. Our simulations of the performance of the random pulse sequences on a realistic physical system, self-assembled quantum dots, reveal a speedup of an order of magnitude in extracting the noise spectrum, compared to conventional dynamical decoupling approaches.

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Publication Details

Journal
Physical Review Applied
Published
2025-05-30
DOI
https://doi.org/10.1103/physrevapplied.23.054090
Citations
2
Primary Topic
Spectroscopy and Quantum Chemical Studies
Type
article
Field-Weighted Citation Impact
2.49

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article

Random pulse sequences for qubit noise spectroscopy

Mohammad Hafezi, Alireza Seif, Demitry Farfurnik, Yi-Kai Liu et al.
2 citations
Physical Review Applied
Spectroscopy and Quantum Chemical Studies
2.49
article

Random pulse sequences for qubit noise spectroscopy

Mohammad Hafezi, Alireza Seif, Demitry Farfurnik, Yi-Kai Liu, K. H. Huang
article en
2 citations

Abstract

Qubit noise spectroscopy is an important tool for the experimental investigation of open quantum systems. However, conventional techniques for noise spectroscopy are time-consuming, because they require measurements of the noise spectral density at many different frequencies. Here we describe an alternative approach to noise spectroscopy, which requires fewer resources, and relies on direct measurement of arbitrary linear functionals of the noise spectral density. This method uses random pulse sequences with carefully controlled correlations, which are chosen using algorithms for phase retrieval. These measurements allow us to reconstruct sparse noise spectra via compressed sensing. Our simulations of the performance of the random pulse sequences on a realistic physical system, self-assembled quantum dots, reveal a speedup of an order of magnitude in extracting the noise spectrum, compared to conventional dynamical decoupling approaches.

Physical Review AppliedVol. 23(5)
National Institute of Standards and Technology (US), North Carolina State University (US), University of Chicago (US), Joint Center for Quantum Information and Computer Science (US), Joint Quantum Institute (US), NIST Center for Neutron Research (US), University of Maryland, College Park (US)
Office of Science
Openalex Percentile: Top 11%
Spectroscopy and Quantum Chemical Studies
2.49
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