Qubit control noise spectroscopy with optimal suppression of dephasing

Maloney, Vivian; Oda, Yasuo; Quiroz, Gregory; Clader, B. David; Norris, Leigh M.

doi:10.1103/physreva.106.022425

Qubit control noise spectroscopy with optimal suppression of dephasing

Journal Article · Tue Aug 23 00:00:00 EDT 2022 · Physical Review A

DOI:https://doi.org/10.1103/physreva.106.022425· OSTI ID:1979626

^[1]; Oda, Yasuo ^[2]; Quiroz, Gregory ^[3]; ^[4]; Norris, Leigh M. ^[4]

Johns Hopkins Univ., Laurel, MD (United States). Applied Physics Laboratory; OSTI
Johns Hopkins Univ., Baltimore, MD (United States)
Johns Hopkins Univ., Laurel, MD (United States). Applied Physics Laboratory; Johns Hopkins Univ., Baltimore, MD (United States)
Johns Hopkins Univ., Laurel, MD (United States). Applied Physics Laboratory

Here, we extend quantum noise spectroscopy (QNS) of amplitude control noise to settings where dephasing noise or detuning errors make significant contributions to qubit dynamics. Previous approaches to characterize amplitude noise are limited by their vulnerability to low-frequency dephasing noise and static detuning errors, which can overwhelm the target control noise signal and introduce bias into estimates of the amplitude noise spectrum. To overcome this problem, we leverage optimal control to identify a family of amplitude control waveforms that optimally suppress low-frequency dephasing noise and detuning errors, while maintaining the spectral concentration in the amplitude filter essential for spectral estimation. The waveforms found via numerical optimization have surprisingly simple analytic forms, consisting of oscillating sine waves obeying particular amplitude and frequency constraints. In numerically simulated QNS experiments, these waveforms demonstrate superior robustness, enabling accurate estimation of the amplitude noise spectrum in regimes where existing approaches are biased by low-frequency dephasing noise and detuning errors.

View Accepted Manuscript (DOE)

Research Organization:: Johns Hopkins Univ., Baltimore, MD (United States)

Sponsoring Organization:: USDOE Office of Science (SC), Advanced Scientific Computing Research (ASCR)

Grant/Contract Number:: SC0020316

OSTI ID:: 1979626

Alternate ID(s):: OSTI ID: 1973563

Journal Information:: Physical Review A, Journal Name: Physical Review A Journal Issue: 2 Vol. 106; ISSN 2469-9926

Publisher:: American Physical Society (APS)Copyright Statement

Country of Publication:: United States

Language:: English

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