Improving spin-based noise sensing by adaptive measurements

Localized spins in the solid state are attracting widespread attention as highly sensitive quantum sensors with nanoscale spatial resolution and fascinating applications. Recently, adaptive measurements were used to improve the dynamic range for spin-based sensing of deterministic Hamiltonian parame...

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Main Authors: Yi-Hao Zhang, Wen Yang
Format: Article
Language:English
Published: IOP Publishing 2018-01-01
Series:New Journal of Physics
Subjects:
Online Access:https://doi.org/10.1088/1367-2630/aadd5e
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author Yi-Hao Zhang
Wen Yang
author_facet Yi-Hao Zhang
Wen Yang
author_sort Yi-Hao Zhang
collection DOAJ
description Localized spins in the solid state are attracting widespread attention as highly sensitive quantum sensors with nanoscale spatial resolution and fascinating applications. Recently, adaptive measurements were used to improve the dynamic range for spin-based sensing of deterministic Hamiltonian parameters. Here we explore a very different direction—spin-based adaptive sensing of random noises. First, we identify distinguishing features for the sensing of magnetic noises compared with the estimation of deterministic magnetic fields, such as the different dependences on the spin decoherence, the different optimal measurement schemes, the absence of the modulo-2 π phase ambiguity, and the crucial role of adaptive measurement. Second, we perform numerical simulations that demonstrate significant speed up of the characterization of the spin decoherence time via adaptive measurements. This paves the way towards adaptive noise sensing and coherence protection.
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spelling doaj.art-4ae4813439d24f7093ed213657ceaf6c2023-08-08T14:55:23ZengIOP PublishingNew Journal of Physics1367-26302018-01-0120909301110.1088/1367-2630/aadd5eImproving spin-based noise sensing by adaptive measurementsYi-Hao Zhang0Wen Yang1https://orcid.org/0000-0002-8312-3094Beijing Computational Science Research Center , Beijing 100193, People's Republic of ChinaBeijing Computational Science Research Center , Beijing 100193, People's Republic of ChinaLocalized spins in the solid state are attracting widespread attention as highly sensitive quantum sensors with nanoscale spatial resolution and fascinating applications. Recently, adaptive measurements were used to improve the dynamic range for spin-based sensing of deterministic Hamiltonian parameters. Here we explore a very different direction—spin-based adaptive sensing of random noises. First, we identify distinguishing features for the sensing of magnetic noises compared with the estimation of deterministic magnetic fields, such as the different dependences on the spin decoherence, the different optimal measurement schemes, the absence of the modulo-2 π phase ambiguity, and the crucial role of adaptive measurement. Second, we perform numerical simulations that demonstrate significant speed up of the characterization of the spin decoherence time via adaptive measurements. This paves the way towards adaptive noise sensing and coherence protection.https://doi.org/10.1088/1367-2630/aadd5equantum sensingadaptive measurementspin decoherence
spellingShingle Yi-Hao Zhang
Wen Yang
Improving spin-based noise sensing by adaptive measurements
New Journal of Physics
quantum sensing
adaptive measurement
spin decoherence
title Improving spin-based noise sensing by adaptive measurements
title_full Improving spin-based noise sensing by adaptive measurements
title_fullStr Improving spin-based noise sensing by adaptive measurements
title_full_unstemmed Improving spin-based noise sensing by adaptive measurements
title_short Improving spin-based noise sensing by adaptive measurements
title_sort improving spin based noise sensing by adaptive measurements
topic quantum sensing
adaptive measurement
spin decoherence
url https://doi.org/10.1088/1367-2630/aadd5e
work_keys_str_mv AT yihaozhang improvingspinbasednoisesensingbyadaptivemeasurements
AT wenyang improvingspinbasednoisesensingbyadaptivemeasurements