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The Impact of Internal Electric Fields on Accurate Diamond Magnetometry
arXiv:2611.03984v1 Announce Type: new Abstract: Nitrogen-vacancy (NV) center spin ensembles are a promising platform for accurate vector magnetometry, as they offer measurements referenced to a spin Hamiltonian in an anisotropic crystal with native vector sensing capabilities. However, charged dopants within the diamond produce random internal electric fields (RIEFs) that shift NV spin-transition frequencies, and their impact on the accuracy of NV magnetometry has not been investigated. Here, we characterize RIEFs' effect on NV spin-transition spectra and propose an analytical fitting function to improve accuracy in their presence. We build a Monte Carlo RIEF model that reproduces the asymmetric lineshapes observed in experimental optically detected magnetic resonance (ODMR) spectra, and use it as a testbed to quantify RIEF-induced errors by simulating ODMR spectra including RIEFs and comparing reconstructed magnetic fields to the known model input. With standard analysis approaches, we observe systematic errors exceeding the g-factor uncertainty in fields below $\sim$ 5 mT, while the proposed fitting function reduces the error by nearly an order of magnitude. Our results demonstrate that RIEFs can play a significant role in the systematic error budget for NV magnetometry, and offer a path towards improved accuracy in NV quantum sensing.
Abstract:Nitrogen-vacancy (NV) center spin ensembles are a promising platform for accurate vector magnetometry, as they offer measurements referenced to a spin Hamiltonian in an anisotropic crystal with native vector sensing capabilities. However, charged dopants within the diamond produce random internal electric fields (RIEFs) that shift NV spin-transition frequencies, and their impact on the accuracy of NV magnetometry has not been investigated. Here, we characterize RIEFs' effect on NV spin-transition spectra and propose an analytical fitting function to improve accuracy in their presence. We build a Monte Carlo RIEF model that reproduces the asymmetric lineshapes observed in experimental optically detected magnetic resonance (ODMR) spectra, and use it as a testbed to quantify RIEF-induced errors by simulating ODMR spectra including RIEFs and comparing reconstructed magnetic fields to the known model input. With standard analysis approaches, we observe systematic errors exceeding the g-factor uncertainty in fields below $\sim$ 5 mT, while the proposed fitting function reduces the error by nearly an order of magnitude. Our results demonstrate that RIEFs can play a significant role in the systematic error budget for NV magnetometry, and offer a path towards improved accuracy in NV quantum sensing.
arXiv:2611.03984 [quant-ph]
(or arXiv:2611.03984v1 [quant-ph] for this version)
https://doi.org/10.48550/arXiv.2611.03984 Focus to learn more arXiv-issued DOI via DataCite (pending registration)
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