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Wide-field microwave magnetic field imaging with nitrogen-vacancy centers in diamond

Luca Basso [email protected] Center for Integrated Nanotechnologies, Sandia National Laboratories, Albuquerque, New Mexico 87123, USA    Pauli Kehayias Sandia National Laboratories, Albuquerque, New Mexico 87185, USA Current address: MIT Lincoln Laboratory, Lexington, Massachusetts 02421, USA    Jacob Henshaw Center for Integrated Nanotechnologies, Sandia National Laboratories, Albuquerque, New Mexico 87123, USA Sandia National Laboratories, Albuquerque, New Mexico 87185, USA    Gajadhar Joshi Center for Integrated Nanotechnologies, Sandia National Laboratories, Albuquerque, New Mexico 87123, USA    Michael P. Lilly Center for Integrated Nanotechnologies, Sandia National Laboratories, Albuquerque, New Mexico 87123, USA    Matthew B. Jordan Sandia National Laboratories, Albuquerque, New Mexico 87185, USA    Andrew M. Mounce [email protected] Center for Integrated Nanotechnologies, Sandia National Laboratories, Albuquerque, New Mexico 87123, USA
Abstract

Non-invasive imaging of microwave (MW) magnetic fields with microscale lateral resolution is pivotal for various applications, such as MW technologies and integrated circuit failure analysis. Diamond nitrogen-vacancy (NV) center magnetometry has emerged as an ideal tool, offering μ\upmum-scale resolution, millimeter-scale field of view, high sensitivity, and non-invasive imaging compatible with diverse samples. However, up until now, it has been predominantly used for imaging of static or low-frequency magnetic fields or, concerning MW field imaging, to directly characterize the same microwave device used to drive the NV spin transitions. In this work we leverage an NV center ensemble in diamond for wide-field imaging of MW magnetic fields generated by a test device employing a differential measurement protocol. The microscope is equipped with a MW loop to induce Rabi oscillations between NV spin states, and the MW field from the device-under-test is measured through local deviations in the Rabi frequency. This differential protocol yields magnetic field maps of a 2.57 GHz MW field with a sensitivity of \sim 9 μ\upmuT Hz-1/2 for a total measurement duration of T=357T=357 s, covering a 340×340340\times 340 μ\upmum2 field of view with a μ\upmum-scale spatial resolution and a DUT input power dynamic range of 30 dB. This work demonstrates a novel NV magnetometry protocol, based on differential Rabi frequency measurement, that extends NV wide-field imaging capabilities to imaging of weak MW magnetic fields that would be difficult to measure directly through standard NV Rabi magnetometry.

I Introduction

The detection and imaging of microwave (MW) magnetic fields is of significant importance for a variety of applications, from probing magnetic excitations such as spin waves[1] and spin liquids is frustrated magnets[2], to mapping the AC susceptibility of magnetic materials[3], as well as imaging of biological samples[4]. Of particular interest is the use of MW imaging for MW devices characterization[5, 6], as such devices represent the building blocks of many critical technologies[7, 8], including quantum information processing[9, 10, 11, 12]. For this reason, a reliable technique that gives insight on the device functioning with localized information on the device internal features - something that the usual external-port measurements cannot do[13] - by imaging the spatial distribution of MW fields with microscale resolution over a wide filed of view is critical for the development of the aforementioned MW technologies.

Nitrogen-vacancy (NV) centers in diamond have emerged as a promising tool for imaging magnetic fields [14] over a wide range of samples and for both static and dynamic fields [15] due to their magnetically-sensitive fluorescence emitted upon optical excitation[16, 17]. Indeed, magnetometry based on NV centers in diamond has already been employed to image static magnetic fields from current flow in 2D materials [18, 19], to observe ferromagnetic domains for magnetic memory [20] and hardware security [21] applications, for characterization of integrated circuits [22, 23], as well as to characterize biological samples [24, 25]. Imaging of MW fields has already been demonstrated, with both NV ensembles[26, 27] and single-NV scanning probes[28], by measuring Rabi oscillations induced by the MW field within NV spin sublevels. The main limitation in these previous works is that the microwave device under test also serves as the antenna driving the NV spin transitions, which restricts the range of devices and signal strengths that can be observed. To overcome this limitation, we develop a novel method that enables to measure weak MW signals that cannot be directly measured, using a differential Rabi measurement technique.

Refer to caption
Figure 1: (a) Schematic of the wide-field MW magnetic field imaging experimental setup. A 532 nm laser is used to excite the NV centers, while a copper MW loop delivers the MW fields to manipulate the spin states. The emitted PL is long-pass filtered before being collected by the camera for wide field imaging. A bias magnetic field B0B_{0} is applied along the [111]-oriented NV axis (θ=55\theta=55^{\circ}, ϕ=97\phi=97^{\circ} in the {x,y,z}\left\{x,y,z\right\} laboratory reference frame) by a pair of permanent magnets. (b) Schematics of the diamond-DUT integration method. The diamond is glued on the MW loop, which is in turn mounted on a 5-axis (x,y,z,θ,ϕx,y,z,\theta,\phi) stage, used to bring the diamond in proximity to the DUT. (c) Optical image of the MW loop with the diamond glued on top. (d) Optical image of the DUT, consisting of a 100 μ\upmum-wide copper wire. (e) NV center ground-state energy level structure, showing the effect of a static field B0B_{0} lifting the |±1|\pm 1\rangle degeneracy and the σ±\sigma_{\pm}-polarized MW transitions. (f) Experimental pulse sequence for wide-field Rabi oscillation measurements. Each section of the pulse sequence is repeated NR=250N_{R}=250 times inside a single camera exposure, while the whole sequence is repeated NP=100N_{P}=100 times for each value of MW pulse duration τ\tau.

In this work, we demonstrate wide-field imaging of MW magnetic fields in the GHz range from a device-under-test (DUT) by detecting small deviations of the NV spin sublevels Rabi oscillations around a central Rabi frequency through a differential measurement protocol. In this experiment, Rabi oscillations are driven by a MW loop operating at high power (40 dBm), positioned near the NV layer, while the DUT is deliberately operated at much lower power (in the range -2 to 28 dBm) to generate weak MW fields. We observe that, although the MW field from the DUT is too weak to directly drive Rabi oscillations, it can still be measured using a differential Rabi measurements. By employing a three-stage pulse sequence, alternating between driving Rabi oscillations with the MW loop alone and with both the MW loop and DUT, we can observe how the Rabi oscillations driven by the MW loop are altered when the DUT is active. This differential technique allows to extend the detectable MW power range by an additional \sim 40 dB of DUT MW input power. The NV photoluminescence (PL) is collected with a CMOS camera, offering spatially-resolved details on the local variations in the Rabi frequency across the field of view, thus giving information on the MW field generated by the DUT. As a proof-of-principle experiment, the DUT is a fabricated 100 μ\upmum-wide 200 nm-thick Cu stripline. After describing the experimental setup and the measurement protocol, we demonstrate the MW imaging capability of magnetic fields oscillating at 2.57 GHz over a field of view of \sim 340×340340\times 340 μ\upmum2. Moreover, we demonstrate MW imaging capabilities over dynamic range of 30 dB in the DUT input power with a measured magnetic field sensitivity of \sim 9 μ\upmuT Hz-1/2 over a single pixel with size of \sim 1.2×1.21.2\times 1.2 μ\upmum2. In addition, to demonstrate the versatility of the Rabi differential method here developed, we image a different nontrivial DUT. This work establishes a novel procedure to use NV quantum sensing to perform wide-field imaging of high-frequency magnetic fields. The described protocol allows us to measure weak signals, thus expanding the range of samples that can be studied by NV magnetometry, with potential applications across diverse fields, from life sciences to MW device failure analysis.

II Experimental methods

II.1 Experimental setup

The schematics of the home-built fluorescence microscope we use to perform wide-field MW magnetic field imaging is shown in Fig. 1(a). A 532 nm laser is pulsed with an AOM before being appropriately focused on the back aperture of a 20×\times 0.4 NA objective, to achieve a uniform illumination on a FOV of 340×340\sim 340\times 340 μ\upmum2. The PL emitted by the NVs is then collected by a CMOS camera after being filtered with a 650 nm long-pass filter. Before analysis we apply 4x4 pixel binning, resulting in a 1.2×1.2\sim 1.2\times 1.2 μ\upmum2 pixel size. However, the lateral resolution in this experiment is likely limited by the NV layer thickness and the diamond-DUT stand-off distance. Two permanent magnets mounted on motorized translation stages for angle and radial control are used to apply a bias magnetic field B0B_{0} aligned to the [111] crystallographic NV axis; the orientation with respect to the {x,y,z}\left\{x,y,z\right\} laboratory reference frame (θ=55\theta=55^{\circ}, ϕ=97\phi=97^{\circ}) is also shown in the inset of Fig. 1(a). The diamond sensor, consisting of a 4 μ\upmum-thick NV layer overgrown on a 500 μ\upmum-thick diamond plate, is glued on the MW loop (operated at a power of 40 dBm) that is used to drive the |ms=0|ms=±1|m_{s}=0\rangle\leftrightarrow|m_{s}=\pm 1\rangle spin transitions. The diamond/MW loop system is in turn mounted on a 5 axis (x,y,z,θ,ϕx,y,z,\theta,\phi) translation stage, that we use to bring the diamond in proximity of the DUT, as shown in Fig. 1(b). An optical picture showing the MW loop with the diamond glued on it is reported in Fig. 1(c), whereas Fig. 1(d) shows an optical picture of the DUT, consisting of a 100 μ\upmum wide, 200 nm thick Cu stripline deposited on a Al2O3 substrate. More details on the experimental setup are reported in the SI[29].

Refer to caption
Figure 2: (a) Optical picture of the 100 μ\upmum-wide Cu stripline. Wide-field magnetic field imaging for the “MW-loop + DUT” case (b) and for the “MW-loop” case (c). For (b) and (c) the value of each pixel is the magnetic field obtained from B=Ω/(2πγNV)B=\Omega/(2\pi\gamma_{NV}), where Ω\Omega is the measured Rabi frequency. (d) Results for BDUTB_{DUT} obtained through the differential Rabi measurements (Eq. 2) The two vertical red dashed lines outline the Cu wire position. Scale bar of 100 μ\upmum is the same for (a), (b), (c) and (d). (e) Typical single-pixel Rabi oscillations data for “MW-loop” (red), “MW-loop + DUT” (green), and “DUT” (yellow). Data represented here are relative to the pixel identified by the red star in (b) and (c). Circles are the experimental data while solid lines are the results of the fit obtained through Eq. 1. (f) Magnetic field along the horizontal white dashed line in (d). Data are fit with a model for the magnetic field generated by an uniform MW current in a stripline, using the stand-off distance dd and the current density JJ as fitting parameters. Red rectangle represents the Cu wire cross section along the y axis.

II.2 Detection mechanism

The negatively-charged NV electronic ground state is a S=1S=1 spin system, with the sublevels |ms=0|m_{s}=0\rangle separated from the doubly-degenerate |ms=±1|m_{s}=\pm 1\rangle sublevels by the zero-field splitting DGS2.87D_{GS}\simeq 2.87 GHz. Through the Zeeman effect, the bias magnetic field B0B_{0} removes the degeneracy of the |ms=±1|m_{s}=\pm 1\rangle states by a factor 2γNVB02\gamma_{NV}B_{0}, where γNV28\gamma_{NV}\simeq 28 kHz μ\upmuT-1 is the NV gyromagnetic ratio. This allows us to use either |0|+1|0\rangle\leftrightarrow|+1\rangle or |0|1|0\rangle\leftrightarrow|-1\rangle as an isolated two-level system, as shown in Fig. 1(e). Due to selection rules, the two separate transitions σ±\sigma_{\pm} (|0|±1|0\rangle\leftrightarrow|\pm 1\rangle) are only excited by a circularly polarized MW fields[28]. Thus, the two transitions σ±\sigma_{\pm} are only sensitive to a single polarization component B±B_{\pm}, with BB_{-} and B+B_{+} being respectively the left- and right-handed circularly polarized component of the MW field, with the polarization axis parallel to the NV axis. A MW field resonant with either transition will then result in population oscillations between the relevant spin sublevels, i.e. Rabi oscillations, at a frequency of Ω±=2πγNVB±\Omega_{\pm}=2\pi\gamma_{NV}B_{\pm}. In the following, we only use σ\sigma_{-} for demonstration of MW magnetic field imaging. In particular we use a bias field B010.7B_{0}\sim 10.7 mT leading to a resonant frequency ω=2π2.57\omega_{-}=2\pi\cdot 2.57 GHz (measured with optically detected magnetic resonance spectrum). We emphasize that ω\omega_{-}, the frequency of the MW field we are sensitive to, can be changed simply by adjusting B0B_{0}. For simplicity in the notation, for the remaining of this manuscript we will suppress the “-” subscript as, unless otherwise stated, we are referring to only the σ\sigma_{-} transition.

II.3 Pulse sequence

We drive both the MW loop and the DUT with a MW current having same frequency ω=(2π)2.57\omega=(2\pi)\cdot 2.57 GHz and measure the Rabi oscillations with the pulse sequence reported in Fig. 1(f), extended from Horsley et al [26]. The sequence is divided in three sections: the first “MW-loop” where a MW pulse is only supplied to the MW loop line; the second “MW-loop + DUT” where two MW pulses of same duration are sent in both MW loop and DUT; and the third “reference” where the bare fluorescence of the |0|0\rangle state is measured without applying any MW pulse. For each section, the sequence starts with a laser pulse (15 μ\upmus duration) that both initializes the NVs into the |0|0\rangle state and reads out their spin state. The laser pulse is followed by the MW pulse (or pulses) of duration τ\tau that drives the Rabi oscillation. This sequence is repeated NR=250N_{R}=250 times inside a single camera exposure time (6 ms) to accumulate PL counts. For each value of τ\tau, a total of NP=100N_{P}=100 images are collected per each section and then averaged to further increase the signal to noise ratio. This whole sequence is repeated as we scan the MW pulse duration τ\tau in the interval [0,1.2 μ\upmus] to measure the Rabi oscillations. Keeping the camera open during several repetitions of the laser and MW pulse sequence leads to a decrease in the contrast, as the spin readout and the NV center repolarization to the |0|0\rangle state occur simultaneously [30]. However, this allows us to accumulate more experiment repetitions and to gate the camera at a timescale much longer than the characteristic Rabi oscillation time. At the end of the sequence we obtain three separate PL vs. time measurements for the three MW pulse combinations described above. The “reference” measurement is subtracted to the other two measurements to remove the background fluorescence and correct any possible non-uniformity in the background. We then obtain two sets of measurements that we refer to respectively BLOOPB_{LOOP} and BLOOP+DUTB_{LOOP+DUT}.

Refer to caption
Figure 3: Results for wide-field MW imaging obtained with the differential Rabi protocol for power of the MW injected in the DUT of -2.3 dBm (a), 17.8 dBm (c), and 27.7 dBm (e). Plots on (b), (d) and (f) show the magnetic field data along a line-cut perpendicular to the wire for, respectively, a power of -2.3 dBm, 17.8 dBm, and 27.7 dBm. The line-cut position, only shown in (a) as an horizontal white dashed lines, is the same for the three cases. The data on (b,d,f) are fit with the model for a uniform MW current in a stripline, and the results for the fitting parameters dd and JJ are also reported. Scale bar of 100 μ\upmum is the same for (a), (c), and (d).

III Results and Discussion

III.1 MW magnetic field imaging

Using the pulse sequence from Fig. 1(f), we obtain a series of images where each pixel contains a Rabi oscillation that we fit with the equation:

F(Ωτ)=F0+Acos(Ωτ)exp(τ/τR)F(\Omega\tau)=F_{0}+A\cos{(\Omega\tau)}\exp{(-\tau/\tau_{R})} (1)

with τ\tau being the MW pulse length while the fitting parameters are fluorescence intensity F0F_{0}, Rabi fluorescence contrast AA, Rabi decay lifetime τR\tau_{R}, and Rabi frequency Ω\Omega. We can then assign to each pixel the corresponding value of magnetic field BB through the relation Ω=2πγNVB\Omega=2\pi\gamma_{NV}B. The results for the wide-field measurement obtained for a MW power in the DUT of 17.8 dBm are shown in Fig. 2(b) and (c) for BLOOPB_{LOOP} and BLOOP+DUTB_{LOOP+DUT}. Figure 2(e) shows a typical example of Rabi oscillations for BLOOP+DUTB_{LOOP+DUT} (green curve) and BLOOPB_{LOOP} (red curve) for a single pixel (red star in Fig. 2(b) and (c)). We notice that the MW field generated by the DUT is not strong enough to be detected directly. This can be observed from the yellow curve in Fig. 2(e), showing a single-pixel τ\tau scan measured when the MW pulse is sent only in the DUT (not shown in Fig. 1(f)), where no Rabi oscillations can be observed. Measuring BDUTB_{DUT} alone does not carry useful information, as it cannot be fit through Eq. 1. To isolate the contribution of the DUT from the total magnetic field BTot(t)=BLOOP(t)+BDUT(t)\vec{B}_{Tot}(t)=\vec{B}_{LOOP}(t)+\vec{B}_{DUT}(t) we use the following equation

BDUT=2(BLOOP+DUTBLOOP)B_{DUT}=\sqrt{2}\left(B_{LOOP+DUT}-B_{LOOP}\right) (2)

where we assumed that |BDUT||BLOOP||\vec{B}_{DUT}|\ll|\vec{B}_{LOOP}| and the 2\sqrt{2} factor results from the root mean square (RMS) of the projection of BDUT\vec{B}_{DUT} on BLOOP\vec{B}_{LOOP}. More details on the derivation of Eq. 2 can be found on the SI [29]. We then take the pixel-wise difference reported in Eq. 2 of the two images for the BLOOP+DUTB_{LOOP+DUT} and BLOOPB_{LOOP} measurements to obtain BDUTB_{DUT} as shown in Fig. 2(d). This result shows that our measurement protocol based on the differential measurement brings information on the MW fields generated by the DUT even if amplitude of the MW generated by the DUT alone does not drive Rabi oscillations, thus extending the range of MW power detectable through Rabi oscillations measurement.

To assess if the differential measurement for BDUTB_{DUT} correctly described the MW field generated by the MW current in the DUT, we fit the MW field along a line-cut (white dashed line in Fig. 2(d)) with the analytical expression that can be found for BB assuming an infinitely thin and long stripline carrying a uniform current density JJ flowing only parallel to the stripline[29]. This equation for BB has the stand-off distance dd and the DUT current density JJ as fitting parameters. The result is shown in Fig. 2(f), where a good agreement with the experimental data and the model is obtained for d=(30±2)d=(30\pm 2) μ\upmum and J=(41±3)107J=(41\pm 3)\cdot 10^{7} A/m2. The error bar on magnetic field values of Fig. 2(f) are obtained starting from the standard deviation of the fit parameter Ω\Omega from Eq. 1 for the two separate measurements then propagated for Eq. 2.

Refer to caption
Figure 4: Typical wide-field Rabi oscillation for the |0|1|0\rangle\rightarrow|-1\rangle NV spin transition. The black circles are the experimental data while the blue line is the fit result of Eq. 1. τR\tau_{R} is the decay time of the Rabi oscillation, F0F_{0} and F1F_{-1} are the PL intensity in respectively the |0|0\rangle and |1|-1\rangle states, and C=(F0F1)/F0C=(F_{0}-F_{-1})/F_{0} is the contrast.

III.2 Dynamic range

To study the dynamic range accessible with the protocol developed here, we perform the same wide-field Rabi measurements for different MW power in the DUT, ranging from -2.3 dBm to 27.7 dB, with all the other same nominal experimental conditions. The results obtained through Eq. 2 are shown in Fig. 3(a), (c) and (e) for respectively -2.3, 17.8, and 27.7 dBm MW power in the DUT. Figures 3(b), (d) and (f) show the magnetic field data along a line-cut perpendicular to the strip-line fit with the theoretical model. From the fitting parameters we can notice that the resulting stand-off distance dd is consistent in all three separate measurements. Moreover, it can be observed that the ratios between the estimated current densities JJ are consistent with the ratios of the input power, thus proving the good quality of the magnetic field measurement. We emphasize that in this experiment, the DUT is driven with significantly weaker MW power compared to the MW loop. At higher power levels, as shown in the SI[29], the DUT is capable of driving Rabi oscillations on its own. However, the primary aim of this work is to develop a differential Rabi imaging technique to detect weak MW signals and show how it allows to extend the MW power range that can be detected.

III.3 Magnetic field sensitivity

To estimate the magnetic field sensitivity we firstly calculate the shot-noise limited sensitivity ηsn\eta_{sn} through the following equation [31]:

ηSN=2eπγNVCF0τR\eta_{SN}=\frac{\sqrt{2e}}{\pi\gamma_{NV}C\sqrt{F_{0}\tau_{R}}} (3)

with F0F_{0}, CC, and τR\tau_{R} being respectively the fluorescence of the bright state |0|0\rangle, the contrast and the decay time of the Rabi oscillation as shown in Fig. 4. For the typical values of these parameters we have in our experiment we obtain the value for the shot noise limited sensitivity of ηSN\eta_{SN}\sim 670 nT Hz-1/2. We can also estimate the measured sensitivity through the full experimental Rabi oscillation defined as ηmeas=δBT\eta_{meas}=\delta B\sqrt{T}, where δB\delta B is the smallest measurable magnetic field while TT is the total measurement time. We estimate δB\delta B as the minimum measurable change in the Rabi frequency in BLOOP+DUTB_{LOOP+DUT}, i.e. the standard deviation of the Rabi fit for Ω\Omega. The value we extract from our data set is δB0.5\delta B\simeq 0.5 μ\upmuT that combined with the total measurement time of T=357T=357 s lead to ηmeas9\eta_{meas}\simeq 9 μ\upmuT Hz-1/2. As expected, this value is larger than the shot-noise limited sensitivity as it is evaluated from the measurement of a full Rabi oscillation. Eq. 3 instead results from fixing the MW pulse duration relative to the point of maximal slope in the Rabi oscillation, that leads to the maximal change in fluorescence following a magnetic field variation, thus resulting in optimal sensitivity[32]. A better comparison can be obtained by considering that the total measurement time T=NτTsingleT=N_{\tau}T_{single}, where Nτ=128N_{\tau}=128 is the number of points acquired during the measurement of a full Rabi oscillation, and TsingleT_{single} is the measurement time of a single point, which is limited by the camera frame rate. After normalizing by the number of points we obtain a per-point magnetic field sensitivity ηmeas\eta_{meas}\sim 0.7 μ\upmuT Hz-1/2 which is comparable with the shot noise limited sensitivity.

Refer to caption
Figure 5: (a) Optical picture of the DUT used to demonstrate MW imaging capabilities of nontrivial DUT. (b) MW magnetic field imaging through the differential Rabi measurement obtained when the DUT is driven at a MW power of 17.8 dBm.

III.4 MW magnetic imaging of nontrivial DUT

In this section we demonstrate the MW imaging capabilities of the differential Rabi protocol developed in this work with another type of nontrivial DUT. The new DUT consists of a 50 μ\upmum wide, 200 nm thick copper microstructure, deposited on a Al2O3 substrate in the shape shown in Fig. 5(a). The result for the MW magnetic field imaging obtained with the differential Rabi protocol when the DUT is operated at 17.8 dBm is shown in Fig. 5(b).

IV Conclusion

In conclusion, we have demonstrated the adaptability of NV centers in diamond for wide-field imaging of high-frequency (\simeq GHz) MW magnetic fields. Compared to previous results, our work expands NV-based magnetic field imaging as it is not limited to static or low-frequency fields or to image MW devices directly used to drive the NV spins transitions. With our measurement protocol based on detection of Rabi oscillations, we have successfully mapped MW magnetic field with μ\upmum-scale spatial resolution over a \sim 340×340 μ\upmum2 FOV, with a demonstrated per-pixel sensitivity of a few μ\upmuT Hz-1/2. This work establishes a novel procedure to use NV quantum sensing to perform wide-field imaging of high-frequency magnetic fields, and demonstrates that the here developed differential Rabi imaging technique allows to gain additional range of detectable MW power. In particular, the MW field generated by the DUT can be directly measured without the aid of the differential measurement - i.e. without using the MW loop to drive the Rabi oscillations - when it is operated at a power of \sim 40 dBm, as reported in the SI[29]. The differential Rabi technique instead allows to measure the MW field generated by the DUT for input MW power down to 2\sim-2 dBm. This experiment proves that the differential Rabi imaging technique expands the range of detectable MW power by \sim 40 dB. The ability we developed to image a DUT which MW field is not directly driving the NV Rabi oscillation widens the range of applicable samples and devices for MW magnetic field imaging. These results could pave the way for groundbreaking applications in NV wide-field MW fields imaging of quantum devices and materials. Future work that will further improve the impact of this technique may include for instance vector magnetometry[33], and a more elaborate engineering of the MW loop to achieve a uniform MW field direction and amplitude in the FOV. The latter will open the possibility of more advanced pulse sequences, such as double quantum protocols[34, 35].

Acknowledgements

We thank George Burns, Michael Titze, Shei Sia Su, and Edward Bielejec (Ion Beam Laboratory, Sandia National Laboratories) for help with diamond preparation. This material is based upon work supported by the U.S. Department of Energy, Office of Science, National Quantum Information Science Research Centers, Quantum Systems Accelerator. Sandia National Laboratories is a multi-mission laboratory managed and operated by National Technology and Engineering Solutions of Sandia, LLC, a wholly owned subsidiary of Honeywell International, Inc., for the DOE’s National Nuclear Security Administration under contract DE-NA0003525. This work was funded, in part, by the Laboratory Directed Research and Development Program and performed, in part, at the Center for Integrated Nanotechnologies, an Office of Science User Facility operated for the U.S. Department of Energy (DOE) Office of Science. This paper describes objective technical results and analysis. Any subjective views or opinions that might be expressed in the paper do not necessarily represent the views of the U.S. Department of Energy or the United States Government.Additionally, this research was developed with funding from the Defense Advanced Research Projects Agency (DARPA). The views, opinions and/or findings expressed are those of the author and should not be interpreted as representing the official views or policies of the Department of Defense or the U.S. Government. Distribution Statement “A” (Approved for Public Release, Distribution Unlimited).

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