Electric Noise Spectra of a Near-Surface Nitrogen-Vacancy Center in Diamond with a Protective Layer

Chrostoski, Philip; Sadeghpour, H. R.; Santamore, D. H.

doi:10.1103/physrevapplied.10.064056

Cited by 22 publications

(20 citation statements)

References 77 publications

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“…By mapping out a diamond's spin-bath spectral noise profile, tailored sensing protocols can be designed to more efficiently extract target signals. To this end, dynamical decoupling sequences, such as those in the CPMG and XY families, are employed for noise mapping (Bar-Gill et al, 2012Romach et al, 2015;Chrostoski, Sadeghpour, and Santamore, 2018;Bauch et al, 2019). By varying both the total precession time and the number of refocusing pulses, noise at a variable target frequency can be isolated, ultimately allowing measurement of the entire spin-bath spectral noise profile.…”

Section: A Dynamical Decoupling For Ac Magnetometrymentioning

confidence: 99%

Sensitivity optimization for NV-diamond magnetometry

et al. 2020

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Solid-state spin systems including nitrogen-vacancy (NV) centers in diamond constitute an increasingly favored quantum sensing platform. However, present NV ensemble devices exhibit sensitivities orders of magnitude away from theoretical limits. The sensitivity shortfall both handicaps existing implementations and curtails the envisioned application space. This review analyzes present and proposed approaches to enhance the sensitivity of broadband ensemble-NV-diamond magnetometers. Improvements to the spin dephasing time, the readout fidelity, and the host diamond material properties are identified as the most promising avenues and are investigated extensively. This analysis of sensitivity optimization establishes a foundation to stimulate development of new techniques for enhancing solid-state sensor performance.

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Section: A Dynamical Decoupling For Ac Magnetometrymentioning

confidence: 99%

Sensitivity optimization for NV-diamond magnetometry

et al. 2020

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“…Our prediction method can be used to systematically optimize the design and fabrication of future trappedion setups, as the electrode geometry and materialsincluding contaminant or oxide layers -can be adjusted in the FEA simulations to suppress heating effects due to dielectrics. Finally, we note that these results are also relevant for devices such as nitrogen-vacancy centers [40,41] and donor spins in silicon [42] that are disturbed by environmental noise due to nearby surfaces.…”

mentioning

confidence: 73%

Heating of a trapped ion induced by dielectric materials

Teller,

Fioretto,

Holz

et al. 2021

Preprint

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Electric-field noise due to surfaces disturbs the motion of nearby trapped ions, compromising the fidelity of gate operations that are the basis for quantum computing algorithms. We present a method that predicts the effect of dielectric materials on the ion's motion. Such dielectrics are integral components of ion traps. Quantitative agreement is found between a model with no free parameters and measurements of a trapped ion in proximity to dielectric mirrors. We expect that this approach can be used to optimize the design of ion-trap-based quantum computers and network nodes.

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“…In some crystals used for optical device applications, crystal field splitting can produce Fano noise from charge fluctuations that contributes to the electric field noise [23,24,25]. In previous work we studied the electric field noise and found that surface electric field noise comes from surface charge fluctuations where the surface covering layer is the key to controlling this type of noise [26].…”

Section: Introductionmentioning

confidence: 98%

Magnetic field noise analyses generated by the interactions between a nitrogen vacancy center diamond and surface and bulk impurities

Chrostoski,

Barrios,

Santamore

2021

Preprint

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We investigated the mechanism of magnetic noise due to both surface and bulk impurities. For surface noise, we apply the Langevin method to spin fluctuation theory to calculate the noise for paramagnetic surface impurities absorbed in a thin layer of water. We find that the mechanisms generating noise are spin flip and spin precession which depend on impurity spin relaxation and spin precession time. For the bulk noise, we consider carbon-13 and nitrogen as impurities and employ the correlated-cluster expansion to calculate noise. Carbon-13 noise is a few orders of magnitude larger than nitrogen due to the higher impurity density in the typical NV center diamond system. We also find that the noise in the secular approximation underestimates noise under low applied magnetic field. Overall, the major source of magnetic field noise is spin precession noise, which is more than five orders of magnitude larger than the spin flip noise.

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Electric Noise Spectra of a Near-Surface Nitrogen-Vacancy Center in Diamond with a Protective Layer

Cited by 22 publications

References 77 publications

Sensitivity optimization for NV-diamond magnetometry

Sensitivity optimization for NV-diamond magnetometry

Heating of a trapped ion induced by dielectric materials

Magnetic field noise analyses generated by the interactions between a nitrogen vacancy center diamond and surface and bulk impurities

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