Huang, K.
, Farfurnik, D.
, Seif, A.
, Hafezi, M.
and Liu, Y.
(2025),
Random pulse sequences for qubit noise spectroscopy, Physical Review Applied, [online], https://doi.org/10.1103/physrevapplied.23.054090, https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=936404
(Accessed June 29, 2025)
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Random pulse sequences for qubit noise spectroscopy
Published
Author(s)
Kaixin Huang, Demitry Farfurnik, Alireza Seif, Mohammad Hafezi,
Abstract
Qubit noise spectroscopy is an important tool for the experimental investigation of open quantum systems. However, conventional techniques for implementing noise spectroscopy are time-consuming, because they require multiple measurements of the noise spectral density at different frequencies. Here we describe an alternative method for quickly characterizing the spectral density. Our method utilizes random pulse sequences, with carefully-controlled correlations among the pulses, to measure arbitrary linear functionals of the noise spectrum. Such measurements allow us to estimate k'th order moments of the noise spectrum, as well as 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.Citation
Physical Review Applied
Volume
23
Issue
5
Pub Type
Journals
Download Paper
Keywords
Noise spectroscopy, dynamical decoupling, compressed sensing, sparsity, quantum dots
Citation
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Created May 30, 2025, Updated June 23, 2025