An interacting spin system is an excellent testbed for fundamental quantum physics and applications in quantum sensing and quantum simulation. For these investigations, detailed information on the interactions, e.g., the number of spins and their interaction strengths, is often required. In this study, we present the identification and characterization of a single nitrogen vacancy (NV) center coupled to two electron spins. In the experiment, we first identify a well-isolated single NV center and characterize its spin decoherence time. Then, we perform NV-detected electron paramagnetic resonance (EPR) spectroscopy to detect surrounding electron spins. From the analysis of the NV-EPR signal, we precisely determine the number of detected spins and their interaction strengths. Moreover, the spectral analysis indicates that the candidates of the detected spins are diamond surface spins. This study demonstrates a promising approach for the identification and characterization of an interacting spin system for realizing entangled sensing using electron spin as quantum reporters.

A nitrogen-vacancy (NV) center is a fluorescent impurity center existing in the diamond lattice.1 The unique electronic structure of the NV center allows the polarization and readout of the spin state through optical excitation and the optically detected magnetic resonance (ODMR) technique.2–4 The NV center also has a long spin coherence time at room temperature.5–7 It has been shown to be a promising quantum sensor, enabling measurement of an extremely small magnetic field,8–11 magnetic resonance spectroscopy with single spin sensitivity,12–19 and quantum simulations.20–22 

A system with interacting spins is a great platform for fundamental physics and applications in quantum information science. For example, an interacting NV spin system is a great candidate for building a quantum sensing network for quantum entanglement sensing that provides enhanced sensitivity.23 Interacting spin systems also exhibit novel phases and dynamics, such as spin liquids, time crystals, and non-equilibrium dynamics.24–27 NV-detected electron paramagnetic resonance (NV-EPR) spectroscopy with a single NV center is a powerful method to study nanoscale environments of interacting electron spins. NV-EPR can determine the number of the detected spins and identify the type of the detected spins. It can also determine the coupling strengths between the NV and each surrounding spin.14,18 NV-EPR has been demonstrated to detect P1 centers, N2 centers, and other unidentified spins.18,28–32 Moreover, electron spins on diamond surfaces have been detected.33 A characterizable and controllable network of spins can be used for entanglement-enhanced surface quantum sensing. However, only a few demonstrations have been performed to determine the number of interacting electron spins and individual coupling strengths to the NV center.13,33 Identifying and modeling such configuration remains a challenge for single NV-EPR detection.

In this work, we discuss the demonstration of NV-EPR spectroscopy of a few electron spins. We employ a single shallow NV center in diamond as a sensor and utilize a double electron–electron resonance (DEER) technique to show the detection of EPR signals of surrounding spins. The observation of the NV-EPR signal confirms the detection of spins. The type of the detected spin is analyzed from their g-values and hyperfine splitting. Moreover, we present a simple model to determine the number of the detected spins and the strengths of their magnetic dipole interactions. We find a single NV center coupled to two electron spins with dipolar couplings of 1.12 ± 0.13 and 2.24 ± 0.17 MHz from the analysis of the NV-EPR signal. The presented spin system will be useful for the investigation of quantum effects that require a low number of spins34 or open quantum dynamics.35 The experimental methods can be used to realize entangled quantum reporters for quantum sensing.

In this study, we employ single NV centers in a diamond crystal sample purchased from Qnami.36 The sample is a (111)-cut, specially designed diamond. Shallow NVs (∼10 nm depth) were created with nitrogen ion implantation with an energy of 6 keV and a subsequent annealing process. The sample has a unique nano-pillar structure that allows easy isolation and identification of single NV centers. We have studied four single NV centers in this sample. In the present paper, our investigation focuses on one of the single NV centers with a unique NV-EPR signal (denoted as NV1). The experimental results on the others (NV2-4) are also presented in the supplementary material. The setup of the experiment is illustrated in Fig. 1. The diamond sample is mounted on an XYZ piezo stage. A permanent disk magnet is placed under the stage to provide a static magnetic field (B0) along the [111] direction of the diamond lattice. For ODMR spectroscopy of the NV center, two channels of microwave (MW1 and MW2) excitation are applied using sources (Stanford SG386) and an amplifier (Mini-Circuits ZHL-15W-422-S+). Both MW1 and MW2 excitations are applied with a 20 μm diameter gold wire attached close to the top of the sample. A diode-pumped solid-state laser (CrystaLaser, 100 mW) and a microscope dry objective (ZEISS, 100×, NA = 0.8) are employed for the laser excitation. Photoluminescence (PL) from the NV center is collected by the same objective and redirected by a dichroic mirror toward an avalanche photon detector (Excelitas, SPCM-AQRH-13-FC). A central computer is used to control the microwave and laser pulses and analyze the photon count signal.

FIG. 1.

Illustration of the experimental setup. A (111)-cut diamond sample is mounted on a piezo stage. A disk magnet is used to provide static external field B0, and a gold wire is attached to the sample to provide microwave excitation, MW1 and MW2. A 532 nm laser is focused onto a shallow NV near the surface of the diamond with a dry microscope objective. PL is collected through the same objective and detected with a photon detector.

FIG. 1.

Illustration of the experimental setup. A (111)-cut diamond sample is mounted on a piezo stage. A disk magnet is used to provide static external field B0, and a gold wire is attached to the sample to provide microwave excitation, MW1 and MW2. A 532 nm laser is focused onto a shallow NV near the surface of the diamond with a dry microscope objective. PL is collected through the same objective and detected with a photon detector.

Close modal
The NV-EPR experiment starts with the characterization of the external magnetic field and the coherent manipulation capability of the NV centers. After identifying single NV centers using the auto-correlation experiment and ODMR spectroscopy,14 we focus on our investigation into each single NV and perform a pulsed ODMR measurement to determine the magnetic field strength and tilt angle. Figure 2(a) shows a PL image of the sample, and the studied NV1 is indicated in the image. Next, we perform pulsed ODMR measurements. As shown in Fig. 2(b), the laser pulse with a duration of 5 μs initializes (Init) the NV state to |mS = 0⟩. After a short delay (∼1 μs), a MW1 (π)Y pulse is applied to drive a rotation of the spin in the Bloch’s sphere along the x-axis [see Fig. 2(b)], from brighter |mS = 0⟩ to darker |mS = ±1⟩ spin states. Afterward, a short readout (RO) laser pulse with a duration of 300 ns projects NV’s coherent spin state into the population difference, which is measured by the PL intensity, resulting in the observation of ODMR signals at the |mS = 0⟩ ↔ |mS = +1⟩ and |mS = 0⟩ ↔ |mS = −1⟩ transition frequencies. Figure 2(d) shows the PL intensity as a function of the MW1 frequency. The pulse sequence is averaged over 100 000 times in around 7 min to obtain the spectrum of each peak. By fitting the two frequencies, 1960.00 ± 6.78 and 3783.39 ± 3.39 MHz, to the following NV Hamiltonian, we obtain the magnetic field strength (B0) and the tilt angle (θ) of the magnetic field with respect to the NV axis,
(1)
where γNV is the gyromagnetic ratio of the NV spin (28.024 GHz/Tesla). S = (Sx, Sy, Sz) are the spin operators of S = 1. D is the NV zero-field energy splitting (2.87 GHz). As shown in Fig. 2(d), the experimental data and the fit results are in fair agreement. From the fit result, we obtained the magnetic field strength of B0 = 32.59 ± 0.02 mT and the tilt angle of θ = 3.5° ± 0.8°. Next, we perform a measurement of Rabi oscillations. The pulse sequences of the experiment are shown in Fig. 2(c). After the laser pulse initialization, an MW1 (π)Y pulse at the NV1 Larmor frequency of 3783.39 MHz (corresponding to the transition |mS = 0⟩ ↔ |mS = +1⟩) with a duration of Tswp is applied. Then, the resultant population change is readout with the RO laser pulse. Two additional reference channels (REF1 and REF2) are used for data normalization. REF1 corresponds to the maximum PL detected in Rabi measurement, and REF2 corresponds to the minimum PL. The normalized PL is (RabiREF2)/(REF1 − REF2). This normalization procedure will reduce degrees of freedom in data fitting. As shown in Fig. 2(e), the normalized PL shows oscillations as the MW1 pulse length is varied. These are the Rabi oscillations that prove the coherent manipulation of the NV spin states. From the period of the oscillations, the duration of the π/2, π, and 3π/2 pulses can be determined. In the present case, we obtained the π/2, π, and 3π/2 pulse duration to be 46, 92, and 138 ns, respectively.
FIG. 2.

Characterization of a single NV center. (a) PL image of the diamond sample. The PL signals are from single NV centers. (b) Pulse sequence for pulsed ODMR measurement. The spin starts at |mS = 0⟩ after the initialization laser pulse (indicated as Init) and evolves under the effect of the MW1 pulse. The readout laser pulse (indicated as RO) measures the PL level according to the projected population difference. N = 100 000 is the number of pulse sequences used for averaging. (c) Pulse sequences for Rabi oscillation measurement. Two reference channels (REF1 and REF2) are used for PL normalization. N = 100 000. (d) Pulsed ODMR data. By fitting with Gaussian peak functions, the peak frequencies are extracted to obtain the magnetic field and tilt angle from fitting with the NV Hamiltonian. (e) Rabi oscillation data. MW1 frequency is set to |mS = 0⟩ ↔ |mS = +1⟩ transition frequency at 3783.39 MHz while the length of MW1 pulse Tswp is swept. PL is normalized by RabiREF2REF1REF2. A Rabi oscillation frequency f of 5.50 ± 0.03 MHz and a decay time T0 of 0.67 ± 0.08 μs is obtained from a fit to 12(1+exp((t/T0)2)cos(2πft)).14 The total measurement time is around 5 min.

FIG. 2.

Characterization of a single NV center. (a) PL image of the diamond sample. The PL signals are from single NV centers. (b) Pulse sequence for pulsed ODMR measurement. The spin starts at |mS = 0⟩ after the initialization laser pulse (indicated as Init) and evolves under the effect of the MW1 pulse. The readout laser pulse (indicated as RO) measures the PL level according to the projected population difference. N = 100 000 is the number of pulse sequences used for averaging. (c) Pulse sequences for Rabi oscillation measurement. Two reference channels (REF1 and REF2) are used for PL normalization. N = 100 000. (d) Pulsed ODMR data. By fitting with Gaussian peak functions, the peak frequencies are extracted to obtain the magnetic field and tilt angle from fitting with the NV Hamiltonian. (e) Rabi oscillation data. MW1 frequency is set to |mS = 0⟩ ↔ |mS = +1⟩ transition frequency at 3783.39 MHz while the length of MW1 pulse Tswp is swept. PL is normalized by RabiREF2REF1REF2. A Rabi oscillation frequency f of 5.50 ± 0.03 MHz and a decay time T0 of 0.67 ± 0.08 μs is obtained from a fit to 12(1+exp((t/T0)2)cos(2πft)).14 The total measurement time is around 5 min.

Close modal

Next, we characterize the spin decoherence time (T2) using a Carr–Purcell–Meiboom–Gill (CPMG) sequence. The particular sequence used here consists of eight π pulses, which is referred to later as a CPMG-8 sequence [see Fig. 3(a)]. In the CPMG-8 experiment, after the preparation of the superposition state 12(|+1+|0) by the (π/2)Y pulse, a chain of (π)X pulses is applied at every 2τ to keep the coherence state for an extended period. The resultant coherent state is mapped into the |ms = 0⟩ state with the application of the second (π/2)Y pulse (SIG1). In addition, in a different signal channel, we use a (3π/2)Y pulse instead of the (π/2)Y pulse to map the state into the |ms = 1⟩ state (SIG2). Two signal channels are used to improve the signal-to-noise ratio (SNR) by removing systematic noise and doubling signal contrast. PL intensity is normalized using the same method used in the Rabi oscillation experiment. As shown in Fig. 3(b), an oscillating and decaying difference in the normalized PL is observed. These features in the echo signal are attributed to the electron spin echo envelope modulation (ESEEM) effect due to hyperfine interaction with nearby nuclear spins.4 As shown in Fig. 3(c), we found that the simulation of the ESEEM signal can explain the observed signal taken with the CPMG sequence. In the simulation, we consider bath 13C nuclear spins and a 13C individual spin with the hyperfine couplings of A = 0.314 MHz and B = 2.827 MHz. We also obtained the spin decoherence time (T2) to be 38 ± 3 μs. This detection of the individual 13C nuclear spin was observed only with NV1, not with other NVs studied in this work. The details of the simulation are included in the supplementary material.

FIG. 3.

CPMG-8 sequence and data. (a) CPMG-8 sequence. The yellow and blue MW1 pulses are with X/Y phases. SIG1 channel uses a (π/2)Y pulse to project the phase into population difference, while SIG2 channel uses a (3π/2)Y pulse (indicated with a dashed yellow box). Laser Init and RO pulse lengths are 5 μs and 300 ns. MW1 π/2, π, and 3π/2 pulse lengths are 46, 92, and 138 ns, respectively. N = 220 000. (b) CPMG-8 data showing normalized PL. The evolution time is calculated to include all evolution periods, namely, 16τ. The measurement time for this spectrum is around 32 min. (c) The normalized signal (SIG2–SIG1) is fit to a simulation including a 13C bath and a nearby 13C spin ESEEM effect with T2 decay. We extract a T2 time of 38 ± 3 μs.

FIG. 3.

CPMG-8 sequence and data. (a) CPMG-8 sequence. The yellow and blue MW1 pulses are with X/Y phases. SIG1 channel uses a (π/2)Y pulse to project the phase into population difference, while SIG2 channel uses a (3π/2)Y pulse (indicated with a dashed yellow box). Laser Init and RO pulse lengths are 5 μs and 300 ns. MW1 π/2, π, and 3π/2 pulse lengths are 46, 92, and 138 ns, respectively. N = 220 000. (b) CPMG-8 data showing normalized PL. The evolution time is calculated to include all evolution periods, namely, 16τ. The measurement time for this spectrum is around 32 min. (c) The normalized signal (SIG2–SIG1) is fit to a simulation including a 13C bath and a nearby 13C spin ESEEM effect with T2 decay. We extract a T2 time of 38 ± 3 μs.

Close modal
Finally, we perform NV-detected EPR (NV-EPR) spectroscopy to detect electron spins surrounding NV1. In the NV-EPR experiment, we use a DEER sequence shown in Fig. 4(a). We use two microwaves (MW1 and MW2) to coherently control the NV spin and target environment spins, respectively. The first microwave (MW1) is fixed at NV Lamour frequency. The second microwave (MW2) is swept in frequency, and when the frequency of MW2 is at the Lamour frequency of the target spins, the MW2 pulse flips the target spins. As shown in Fig. 4(a), the sequence consists of the CPMG component for the NV spin and the π pulses for the target spins (denoted as CPMG-DEER). In the CPMG-DEER experiment, first, the NV’s spin state is prepared into |ψ0=12(|+1+|0) state. The spin state is sensitive to small changes in the external magnetic field B0, which in our case is the total dipole field Bdip from surrounding electron spins. In the present case, with the application of the π pulses with MW2 [see Fig. 4(a)], phase shifts due to changes in the magnetic field are accumulated to the NV coherent state, i.e., |ψ0|ψ=12(|+1+eiδϕ|0). The phase shifts can be modeled as
(2)
where is the reduced Planck constant. The pulse length is relatively short compared to τ time, so the evolution during pulses is neglected in the equation. The spin flip-flop not due to pulse excitation is also neglected.37, Bdip(t)=μ04πigeμB(3cos2θi1)σi/ri3 is the total magnetic field generated by the target spin(s) at the NV. ge is the g-value of the target spin. θi and ri are the angle and distance between the NV spin and target spin. Bdip is assumed to be constant throughout one evolution period. When the MW2 pulse is not on resonance, it does not drive any state evolution. As a result, the odd and even terms in Eq. (2) are canceled. On the other hand, when the frequency of MW2 is on resonance, the MW2 pulse flips the target spins. This spin flip changes the sign of Bdip in even terms of Eq. (2), i.e., Bdip → −Bdip, allowing the phase to accumulate over the total sensing period. Namely, Eq. (2) can be rewritten as
(3)
It is worth noting that even though the bath spins are not polarized to be in the same state in each measurement, we can still observe the NV-EPR signal since it is due to the statistical average of the spin polarization instead of a thermal polarization. In general, the NV-EPR signal due to a phase shift of δϕ is given by
(4)
where represents the statistical average. In the present case, we consider a case where the phase shifts are caused by the flips of target spins with the application of the MW2 pulses (TMW2). Then, the NV-EPR signal is given by37 
(5)
where σj is +1 or −1 representing |↑⟩ or |↓⟩, respectively. σj here denotes the statistical average of all conditions with different combinations of σj values. μ0 is the vacuum magnetic permeability. TMW2 is the MW2 pulse duration. ωj is the Rabi frequency associated with dipole interaction strength. Similar to the experiment in Fig. 2(d), the Gaussian decay is included to take into account a decay in Rabi oscillations14 where T0 is the decay constant. When the NV-EPR signal is from a single spin, the oscillations are given by a single sinusoidal function. When it is from two spins, the oscillations are given by a sum of two sinusoidal functions, etc. Therefore, the analysis of the oscillations can be used to determine the number of spins coupled to the NV center as well as their coupling strength.
FIG. 4.

NV-EPR sequence and data. (a) The highlight of the CPMG-DEER sequence showing only the MW1 and MW2 pulses, indicated by blue and purple boxes, respectively. MW1 π/2 and π pulse lengths are 46 and 92 ns, and MW2 π pulse length is 92 ns. τ time is set to 1.28 μs, and the total sensing time is 20.864 μs. N = 1 325 000. (b) CPMG-DEER data. Both SIG1 and SIG2 channels are used. The total measurement time is around 320 min. The signals are normalized in the same way as the CPMG experiment. (c) By fitting the difference (SIG2-SIG1) to a Gaussian peak function, we obtain the narrow DEER spectrum centered at 914.7 ± 0.9 MHz, with no sign of hyperfine coupling in the vicinity.

FIG. 4.

NV-EPR sequence and data. (a) The highlight of the CPMG-DEER sequence showing only the MW1 and MW2 pulses, indicated by blue and purple boxes, respectively. MW1 π/2 and π pulse lengths are 46 and 92 ns, and MW2 π pulse length is 92 ns. τ time is set to 1.28 μs, and the total sensing time is 20.864 μs. N = 1 325 000. (b) CPMG-DEER data. Both SIG1 and SIG2 channels are used. The total measurement time is around 320 min. The signals are normalized in the same way as the CPMG experiment. (c) By fitting the difference (SIG2-SIG1) to a Gaussian peak function, we obtain the narrow DEER spectrum centered at 914.7 ± 0.9 MHz, with no sign of hyperfine coupling in the vicinity.

Close modal

Next, we introduce another NV-EPR experiment to determine the number of spins and strength of interactions detected in the NV-EPR signal. The sequence is shown in Fig. 5(a). This sequence is modified from the CPMG-DEER sequence to measure the Rabi oscillations of the NV-EPR signal, so we call it a DEER-Rabi sequence. In the DEER-Rabi sequence, the MW2 frequency is fixed at the EPR signal, and the pulse length (TMW2) is varied while keeping the total echo evolution time fixed. Both SIG1 and SIG2 channels are used as well for better SNR. Data are shown in Fig. 5(b). The normalized DEER-Rabi signal (SIG2-SIG1) shows a strong oscillation in the population recovery [shown in Fig. 5(c)]. The observed oscillations are due to the change in dipole field from spins felt by the NV coherence state. The MW2 pulses rotate the spins according to the pulse length, changing the strength of the field along the NV axis. The accumulated phase shifts, therefore, undergo oscillations. To analyze the signal [shown in Fig. 5(c)] with Eq. (5), we consider three situations where the number of target spins ranges from 1 to 3. In the fit, the dipole interaction strength and decay constant are treated as fitting parameters. We set the range for interaction strength to be 2–312.5 MHz. The lower bound is taken to have one full oscillation in the total recorded pulse length, and the higher bound is taken to have one full oscillation for every four data points. This follows from the frequency resolution being 1/(measurement time) and maximum frequency being (sample rate)/2 for a discrete Fourier transform analysis. The fitted lines are plotted as dotted lines in Fig. 5(c). The adjusted R-square value (1(1(yiŷi)2(yiȳ)2n1nk1)) is used, where k = 3. In general, the value is between 0 and 1, and the closer case to 1 means better agreement. The two electron spin model has the best fit with the adjusted R-square value of 0.314, while the one spin model gives 0.269 and the three spin model gives 0.233. From the fitting result, two interaction strengths are ω1 = 2π × (1.12 ± 0.13) MHz and ω2 = 2π × (2.24 ± 0.17) MHz. The time constant T0 is fit to be 0.34 ± 0.06 μs. The inset of Fig. 5(c) summarizes the detected two electron spins and one nuclear spin from the present study with NV1.

FIG. 5.

Rabi oscillation of NV-EPR signal. (a) DEER-Rabi sequence. MW1 π/2 and π pulse lengths are 46 and 92 ns, respectively. The length of MW2 pulses is swept. N = 1 260 000. (b) Rabi oscillation of the NV-EPR signal. The measurement time is around 180 min. Both SIG1 and SIG2 PL intensities are normalized the same way as in previous experiments. (c) The difference (SIG2–SIG1) is normalized from 0 to 1 and then fit to a simple NV-EPR model, where the two electron spin configuration gives the best fit. We obtained the interaction strength between NV1 and the electron spins to be ω1 = 2π × (1.12 ± 0.13) MHz and ω2 = 2π × (2.24 ± 0.17) MHz, respectively.

FIG. 5.

Rabi oscillation of NV-EPR signal. (a) DEER-Rabi sequence. MW1 π/2 and π pulse lengths are 46 and 92 ns, respectively. The length of MW2 pulses is swept. N = 1 260 000. (b) Rabi oscillation of the NV-EPR signal. The measurement time is around 180 min. Both SIG1 and SIG2 PL intensities are normalized the same way as in previous experiments. (c) The difference (SIG2–SIG1) is normalized from 0 to 1 and then fit to a simple NV-EPR model, where the two electron spin configuration gives the best fit. We obtained the interaction strength between NV1 and the electron spins to be ω1 = 2π × (1.12 ± 0.13) MHz and ω2 = 2π × (2.24 ± 0.17) MHz, respectively.

Close modal

Finally, we discuss the origin of the NV-EPR signal observed in the present investigation [see Figs. 4(c) and 4(d)]. The signal is a single peak of coherence population difference centered at 914.7 ± 0.9 MHz with a width of 9 ± 2 MHz. No signature of the hyperfine splitting is observed. We attribute this signal to an electron spin with S = 1/2 and g = 2.009 ± 0.003. Since there are no signatures of hyperfine peaks, the signal is not from P1 centers, which are commonly observed in diamonds with a high nitrogen concentration. The identification of the detected spins remains unclear, but based on the S and g-value and lack of hyperfine splitting, possible candidates of the observed spins are the tri-Nitrogen W21 center38,39 and surface spins.32,40,41

In summary, we demonstrated the detection of EPR from two electron spins using a single NV center in diamond. CPMG-DEER and DEER-Rabi sequences are used to study the spin interactions. The observed NV-EPR signal is in the absence of strong hyperfine peaks, and further measurement of Rabi oscillations of the signal suggests the interaction is of a single NV center with two electron spins. The physical system and method presented in this paper allow easy identification of a single defect center coupled to a small number of spins and characterization of the interaction strength. The analysis of the NV-EPR signal presented can be a method to distinguish the number of interacting spins up to five, which is limited by the detection time window of the oscillations.

The non-equal but measurable interaction strength is favorable in studying non-equilibrium quantum dynamics. Investigation of quantum phase dynamics, such as spin liquids or discrete time crystalline (DTC), requires interacting spin systems with disordered structures.24,27 A kagome lattice formed by Cu2+ ions42 and a honeycomb lattice formed by Ru3+ ions43 have been actively researched materials for the realization of spin liquid. This multi electron spin system could be a material to look for these emergent quantum effects with the similarity of being a spin 1/2 magnetic disordered type of material. A chain of nine 13C nuclear spins in diamond has been shown to be a programmable spin-based DTC.44 The characterizable electron spin system in this study is potentially a smaller-sized system to realize DTC. Good knowledge of the interaction strengths in a spin system will also be significant in better characterization of non-classical correlations, namely, quantum entanglement, which can be key in modeling open quantum dynamics and developing entangled quantum sensing. Quantum-enhanced NMR with a 9.4-fold sensitivity increase has been demonstrated by entangling nine proton spins with a 31P spin.45 The electron spins detected in this study can also be simultaneously controlled and potentially achieve entanglement enhancement beyond the standard quantum limit. In addition, further study can be done to reveal more information about the nature of the spin species and improve the understanding of the decoherence of shallow NV centers, paving the pathway to higher standard engineering for quantum sensing applications.

The supplementary material includes a discussion and simulation of the ESEEM effect observed in the experiment and additional measurement results on the other NV centers.

This work was supported by the National Science Foundation (Grant Nos. ECCS-2204667, CHE-2404463, and CHE-2004252 with partial co-funding from the Quantum Information Science program in the Division of Physics), the USC Dornsife, the USC Anton B. Burg Foundation, and the Searle Scholars Program (ST).

The authors have no conflicts to disclose.

Yuhang Ren: Conceptualization (equal); Data curation (lead); Formal analysis (lead); Investigation (equal); Methodology (equal); Project administration (supporting); Resources (supporting); Software (supporting); Supervision (supporting); Validation (equal); Visualization (lead); Writing – original draft (lead); Writing – review & editing (equal). Susumu Takahashi: Conceptualization (equal); Data curation (supporting); Formal analysis (equal); Funding acquisition (lead); Investigation (equal); Methodology (equal); Project administration (lead); Resources (lead); Software (lead); Supervision (lead); Validation (equal); Visualization (supporting); Writing – original draft (supporting); Writing – review & editing (equal).

The data that support the findings of this study are available from the corresponding author upon reasonable request.

1.
A.
Gruber
,
A.
Dräbenstedt
,
C.
Tietz
,
L.
Fleury
,
J.
Wrachtrup
, and
C.
von Borczyskowski
,
Science
276
,
2012
(
1997
).
2.
F.
Jelezko
,
T.
Gaebel
,
I.
Popa
,
A.
Gruber
, and
J.
Wrachtrup
,
Phys. Rev. Lett.
92
,
076401
(
2004
).
3.
T.
Gaebel
,
M.
Domhan
,
I.
Popa
,
C.
Wittmann
,
P.
Neumann
,
F.
Jelezko
,
J. R.
Rabeau
,
N.
Stavrias
,
A. D.
Greentree
,
S.
Prawer
,
J.
Meijer
,
J.
Twamley
,
P. R.
Hemmer
, and
J.
Wrachtrup
,
Nat. Phys.
2
,
408
(
2006
).
4.
L.
Childress
,
M. V. G.
Dutt
,
J. M.
Taylor
,
A. S.
Zibrov
,
F.
Jelezko
,
J.
Wrachtrup
,
P. R.
Hemmer
, and
M. D.
Lukin
,
Science
314
,
281
(
2006
).
5.
S.
Takahashi
,
R.
Hanson
,
J.
van Tol
,
M. S.
Sherwin
, and
D. D.
Awschalom
,
Phys. Rev. Lett.
101
,
047601
(
2008
).
6.
G.
Balasubramanian
,
P.
Neumann
,
D.
Twitchen
,
M.
Markham
,
R.
Kolesov
,
N.
Mizuochi
,
J.
Isoya
,
J.
Achard
,
J.
Beck
,
J.
Tissler
,
V.
Jacques
,
P. R.
Hemmer
,
F.
Jelezko
, and
J.
Wrachtrup
,
Nat. Mater.
8
,
383
387
(
2009
).
7.
G.
de Lange
,
Z. H.
Wang
,
D.
Ristè
,
V. V.
Dobrovitski
, and
R.
Hanson
,
Science
330
,
60
(
2010
).
8.
C. L.
Degen
,
Appl. Phys. Lett.
92
,
243111
(
2008
).
9.
G.
Balasubramanian
,
I. Y.
Chan
,
R.
Kolesov
,
M.
Al-Hmoud
,
J.
Tisler
,
C.
Shin
,
C.
Kim
,
A.
Wojcik
,
P. R.
Hemmer
,
A.
Krueger
,
T.
Hanke
,
A.
Leitenstorfer
,
R.
Bratschitsch
,
F.
Jelezko
, and
J.
Wrachtrup
,
Nature
455
,
648
(
2008
).
10.
J. R.
Maze
,
P. L.
Stanwix
,
J. S.
Hodges
,
S.
Hong
,
J. M.
Taylor
,
P.
Cappellaro
,
L.
Jiang
,
M. V. G.
Dutt
,
E.
Togan
,
A. S.
Zibrov
,
A.
Yacoby
,
R. L.
Walsworth
, and
M. D.
Lukin
,
Nature
455
,
644
(
2008
).
11.
J. M.
Taylor
,
P.
Cappellaro
,
L.
Childress
,
L.
Jiang
,
D.
Budker
,
P. R.
Hemmer
,
A.
Yacoby
,
R.
Walsworth
, and
M. D.
Lukin
,
Nat. Phys.
4
,
810
(
2008
).
12.
M. S.
Grinolds
,
S.
Hong
,
P.
Maletinsky
,
L.
Luan
,
M. D.
Lukin
,
R. L.
Walsworth
, and
A.
Yacoby
,
Nat. Phys.
9
,
215
(
2013
).
13.
F.
Shi
,
Q.
Zhang
,
P.
Wang
,
H.
Sun
,
J.
Wang
,
X.
Rong
,
M.
Chen
,
C.
Ju
,
F.
Reinhard
,
H.
Chen
,
J.
Wrachtrup
,
J.
Wang
, and
J.
Du
,
Science
347
,
1135
(
2015
).
14.
C.
Abeywardana
,
V.
Stepanov
,
F. H.
Cho
, and
S.
Takahashi
,
J. Appl. Phys.
120
,
123907
(
2016
).
15.
B.
Fortman
,
L.
Mugica-Sanchez
,
N.
Tischler
,
C.
Selco
,
Y.
Hang
,
K.
Holczer
, and
S.
Takahashi
,
J. Appl. Phys.
130
,
083901
(
2021
).
16.
B.
Fortman
and
S.
Takahashi
,
J. Phys. Chem. A
123
,
6350
(
2019
).
17.
B.
Fortman
,
J.
Pena
,
K.
Holczer
, and
S.
Takahashi
,
Appl. Phys. Lett.
116
,
174004
(
2020
).
18.
S.
Li
,
H.
Zheng
,
Z.
Peng
,
M.
Kamiya
,
T.
Niki
,
V.
Stepanov
,
A.
Jarmola
,
Y.
Shimizu
,
S.
Takahashi
,
A.
Wickenbrock
, and
D.
Budker
,
Phys. Rev. B
104
,
094307
(
2021
).
19.
Y.
Ren
,
C.
Selco
,
D.
Kawashiri
,
M.
Coumans
,
B.
Fortman
,
L.-S.
Bouchard
,
K.
Holczer
, and
S.
Takahashi
,
Phys. Rev. B
108
,
045421
(
2023
).
20.
J.
Cai
,
A.
Retzker
,
F.
Jelezko
, and
M. B.
Plenio
,
Nat. Phys.
9
,
168
(
2013
).
21.
Y.
Wang
,
F.
Dolde
,
J.
Biamonte
,
R.
Babbush
,
V.
Bergholm
,
S.
Yang
,
I.
Jakobi
,
P.
Neumann
,
A.
Aspuru-Guzik
,
J. D.
Whitfield
, and
J.
Wrachtrup
,
ACS Nano
9
,
7769
(
2015
).
22.
C.
Ju
,
C.
Lei
,
X.
Xu
,
D.
Culcer
,
Z.
Zhang
, and
J.
Du
,
Phys. Rev. B
89
,
045432
(
2014
).
23.
T.
Xie
,
Z.
Zhao
,
X.
Kong
,
W.
Ma
,
M.
Wang
,
X.
Ye
,
P.
Yu
,
Z.
Yang
,
S.
Xu
,
P.
Wang
,
Y.
Wang
,
F.
Shi
, and
J.
Du
,
Sci. Adv.
7
,
eabg9204
(
2021
).
24.
C.
Broholm
,
R. J.
Cava
,
S. A.
Kivelson
,
D. G.
Nocera
,
M. R.
Norman
, and
T.
Senthil
,
Science
367
,
eaay0668
(
2020
).
25.
S.
Choi
,
J.
Choi
,
R.
Landig
,
G.
Kucsko
,
H.
Zhou
,
J.
Isoya
,
F.
Jelezko
,
S.
Onoda
,
H.
Sumiya
,
V.
Khemani
,
C.
von Keyserlingk
,
N. Y.
Yao
,
E.
Demler
, and
M. D.
Lukin
,
Nature
543
,
221
(
2017
).
26.
F. J.
González
,
A.
Norambuena
, and
R.
Coto
,
Phys. Rev. B
106
,
014313
(
2022
).
27.
S.
Bussandri
,
D.
Shimon
,
A.
Equbal
,
Y.
Ren
,
S.
Takahashi
,
C.
Ramanathan
, and
S.
Han
,
J. Am. Chem. Soc.
146
,
5088
(
2024
).
28.
T.
Yamamoto
,
C.
Müller
,
L. P.
McGuinness
,
T.
Teraji
,
B.
Naydenov
,
S.
Onoda
,
T.
Ohshima
,
J.
Wrachtrup
,
F.
Jelezko
, and
J.
Isoya
,
Phys. Rev. B
88
,
201201
(
2013
).
29.
F.
Shi
,
Q.
Zhang
,
B.
Naydenov
,
F.
Jelezko
,
J.
Du
,
F.
Reinhard
, and
J.
Wrachtrup
,
Phys. Rev. B
87
,
195414
(
2013
).
30.
A.
Cooper
,
W. K. C.
Sun
,
J.-C.
Jaskula
, and
P.
Cappellaro
,
Phys. Rev. Lett.
124
,
083602
(
2020
).
31.
E. L.
Rosenfeld
,
L. M.
Pham
,
M. D.
Lukin
, and
R. L.
Walsworth
,
Phys. Rev. Lett.
120
,
243604
(
2018
).
32.
M. S.
Grinolds
,
M.
Warner
,
K.
De Greve
,
Y.
Dovzhenko
,
L.
Thiel
,
R. L.
Walsworth
,
S.
Hong
,
P.
Maletinsky
, and
A.
Yacoby
,
Nat. Nanotechnol.
9
,
279
(
2014
).
33.
A. O.
Sushkov
,
I.
Lovchinsky
,
N.
Chisholm
,
R. L.
Walsworth
,
H.
Park
, and
M. D.
Lukin
,
Phys. Rev. Lett.
113
,
197601
(
2014
).
34.
X.
Xiao
and
N.
Zhao
,
New J. Phys.
18
,
103022
(
2016
).
35.
Y.
Dakir
,
A.
Slaoui
,
A.-B. A.
Mohamed
,
R. A.
Laamara
, and
H.
Eleuch
,
Sci. Rep.
13
,
20526
(
2023
).
36.
Qnami
, Quantum sensing leaders in nanoscale precision|qnami,
2024
, https://qnami.ch/.
37.
V.
Stepanov
and
S.
Takahashi
,
Phys. Rev. B
94
,
024421
(
2016
).
38.
J. H. N.
Loubser
and
J. A.
van Wyk
,
Rep. Prog. Phys.
41
,
1201
(
1978
).
39.
J. M.
Baker
,
Radiat. Eff. Defects Solids
150
,
415
(
1999
).
40.
Z.
Peng
,
T.
Biktagirov
,
F. H.
Cho
,
U.
Gerstmann
, and
S.
Takahashi
,
J. Chem. Phys.
150
,
134702
(
2019
).
41.
Z.
Peng
,
J.
Dallas
, and
S.
Takahashi
,
J. Appl. Phys.
128
,
054301
(
2020
).
42.
43.
H.
Takagi
,
T.
Takayama
,
G.
Jackeli
,
G.
Khaliullin
, and
S. E.
Nagler
,
Nat. Rev. Phys.
1
,
264
(
2019
).
44.
J.
Randall
,
C. E.
Bradley
,
F. V.
van der Gronden
,
A.
Galicia
,
M. H.
Abobeih
,
M.
Markham
,
D. J.
Twitchen
,
F.
Machado
,
N. Y.
Yao
, and
T. H.
Taminiau
,
Science
374
,
1474
(
2021
).
45.
J. A.
Jones
,
S. D.
Karlen
,
J.
Fitzsimons
,
A.
Ardavan
,
S. C.
Benjamin
,
G. A. D.
Briggs
, and
J. J. L.
Morton
,
Science
324
,
1166
(
2009
).