Overcoming poor readout is an increasingly urgent challenge for devices based on solid-state spin defects, particularly given their rapid adoption in quantum sensing, quantum information, and tests of fundamental physics. However, in spite of experimental progress in specific systems, solid-state spin sensors still lack a universal, high-fidelity readout technique. Here we demonstrate high-fidelity, room-temperature readout of an ensemble of nitrogen-vacancy centers via strong coupling to a dielectric microwave cavity, building on similar techniques commonly applied in cryogenic circuit cavity quantum electrodynamics. This strong collective interaction allows the spin ensemble’s microwave transition to be probed directly, thereby overcoming the optical photon shot noise limitations of conventional fluorescence readout. Applying this technique to magnetometry, we show magnetic sensitivity approaching the Johnson–Nyquist noise limit of the system. Our results pave a clear path to achieve unity readout fidelity of solid-state spin sensors through increased ensemble size, reduced spin-resonance linewidth, or improved cavity quality factor.
Conventional optical readout limits the sensitivity of solid state spin sensors due to photon shot noise and poor contrast. Here, the authors demonstrate room-temperature microwave detection of an ensemble of NV centers embedded in a microwave cavity, which offers high-fidelity readout without time overhead.
Quantum devices employing optically active solid-state spin ensembles promise broad utility1–5 but are plagued by poor readout6. Conventional spin readout via optical excitation and fluorescence detection destroys the information stored by a spin defect with only a few scattered photons. Imperfect optical collection then ensures that on average less than one fluorescence photon is typically detected per spin1. Moreover, spin fluorescence contrast (i.e., the normalized difference in signal between spin states) is far below unity, which further reduces the quantum information that conventional readout can extract from a given spin. Hence, quantum sensors employing solid-state spin ensembles with conventional optical readout exhibit sensitivities much worse than the spin-projection noise limit, with readout fidelities limited by shot noise on the detected fluorescence6. Here
In this work, we demonstrate a non-optical readout technique for solid-state spin-ensemble sensors. Our technique leverages strong collective coupling between a dielectric resonator cavity and a spin ensemble at room temperature. Similar coupled spin–cavity systems have recently been harnessed to demonstrate a room-temperature maser18 and Dicke superradiance19,20. Related cavity quantum electrodynamics (CQED) effects have also been employed for quantum information applications in cryogenic solid-state21–28 and superconducting qubit29–31 systems. Cavities also have been used to great effect in electron paramagnetic resonance (EPR) to amplify weak signals from samples under study32, including for the observation of the spectrum of a nitrogen-vacancy (NV) center in diamond on illumination with light33. Quantitative EPR spectroscopy remains an area of active research for biological, medical, and industrial applications34. Here, we report the use of a strongly coupled, room-temperature spin–cavity system for sensor applications, providing in detail new insights into optimization of such systems for sensing. We demonstrate this technique in a magnetometer using an ensemble of NV− centers in diamond, though the method has broad applicability to any paramagnetic defect with a microwave (MW) resonance (provided there is a means of inducing spin polarization). In addition to providing unity measurement contrast and circumventing the shot-noise limitation inherent to conventional optical spin readout, the readout method introduces no substantial overhead time to measurements and results in an advantageous cavity-mediated narrowing of the magnetic resonance features. Moreover, this advance promises what has long been elusive for quantum sensors based on solid-state spin ensembles: a clear avenue to readout at the spin-projection limit. Because the sensor’s limiting noise source is independent of the number of polarized spin defects N, the device’s sensitivity is expected to improve linearly with increasing N until the spin-projection limit is reached.
The technique, which we term MW cavity readout, operates by measuring changes in an applied MW field following cavity-enhanced interactions with a spin ensemble. When the MW frequency is tuned near-resonant with the spin defect’s resonance frequency, both absorptive and dispersive interactions occur35. These interactions encode the spin resonance in the amplitude and phase of the transmitted or reflected MWs. While the absorptive and dispersive interactions may be too weak on their own to cause perceptible changes in the MW field, even for a sizeable spin ensemble, these effects can be enhanced more than ten-thousandfold by placing the ensemble in a high-quality-factor cavity resonant with the applied MWs. Dispersion and absorption by the spin ensemble then modify the resonance frequency and linewidth of the composite cavity-spin system, respectively. Consequently, detection of the transmission through or reflection from the composite cavity provides readout of the spin resonance34.
In the experiments described here, NV− defects are continuously initialized by applying 532 nm laser light. This optical pumping preferentially populates the spin-1 NV− ground-state sublevel


Experimental setup for MW cavity readout of NV- centers in diamond.
a Level diagram. The NV- ground-state spin triplet (3A2) exhibits a 2.87 GHz zero-field splitting between the
The composite MW cavity consists of two concentric cylindrical dielectric resonators surrounding a high-NV--density diamond mounted on a mechanical support wafer. We define the bare cavity resonance frequency ωc as the resonance frequency of the system in the absence of laser-induced spin polarization. Positioning the diamond at the MW magnetic field antinode, as shown in Fig. 1b, maximizes the ensemble-photon coupling. An adjustable input coupling loop couples the MW field into the composite cavity. A circulator allows for reflection measurements, while a supplementary output coupling loop allows for transmission measurements, as depicted in Fig. 1c. The composite MW cavity exhibits an unloaded quality factor of Q0 = 22,000.
For magnetometry, the applied MW drive frequency ωd is tuned to the bare cavity resonance ωc. The bias field magnitude B0 is set so that ωs = ωc. Small changes in B0, representing the test magnetic field to be detected, cause ωs to vary about ωc. These changes in B0 (and thus ωs) are detected by monitoring MWs reflected from the cavity. To understand the readout mechanism, we first consider only the dispersive effect of the NV− ensemble, neglecting the effect of absorption. (This simplification is valid for sufficiently high-MW power, where the absorptive effect is suppressed relative to the dispersive effect; see Supplementary Note 5.) With ωs = ωc (and neglecting absorption), reflection from the cavity remains unchanged regardless of the state of the NV− ensemble (e.g., regardless of whether optical spin-polarization light is applied). As ωs shifts away from ωc, however, the NV− ensemble produces a dispersive shift that modifies the composite cavity’s resonance frequency, resulting in an increase in reflected MW power. Moreover, the dispersive effect produces a phase shift in the reflected voltage ΓVIn relative to the incident MWs (where Γ is the complex reflection coefficient and VIn is the incident MW voltage), and the sign of this phase shift depends on the sign of ωs − ωc. This allows the use of a phase-sensitive measurement technique by monitoring the quadrature port of an IQ mixer. Because the voltage on this port changes sign for deviations of ωs above or below ωc, with a zero-crossing for ωs = ωc, this measurement technique inherently provides unity contrast (see Methods).
The interaction between a MW photon and a single spin is described by the Jaynes–Cummings Hamiltonian36,

For an ensemble of N polarized spins, the Jaynes–Cummings model is generalized to the Tavis–Cummings model40,41, with gs replaced by the effective collective coupling
In order to provide a connection with the physical parameters of the experimental apparatus, it is convenient to develop a description of the system in terms of an equivalent circuit model. (The derivation of which is described in Supplementary Note 3.) The resulting RLC circuit model provides expressions for the reflection and transmission coefficients, which can then be formulated in terms of the quantum mechanical parameters of the system. With an ensemble undergoing constant optical-pumping-induced spin polarization at a rate

Neglecting absorption, the imaginary part of the reflection coefficient can be approximately expressed in a more illuminating form within a particular regime relevant to magnetometry. For critical input coupling (κc1 = κc0), no output coupling (κc2 = 0), and ωd = ωc, the reflection coefficient in the limiting case of small spin–cavity detunings (∣ωs − ωc∣ ≪ κs/2) is approximately given by

The prefactor


Strong ensemble-cavity coupling under ambient conditions.
The spin resonance frequency is swept relative to the bare cavity resonance (horizontal axis) by varying the applied magnetic field; simultaneously varying the MW drive frequency (vertical axis) reveals the spin-ensemble-modified composite cavity resonance. Data are recorded both in reflection (a) and transmission (b). The data are fit (c, d) to (2) and (4) using a 2D nonlinear least-squares solver. The fit gives geff = 2π × 0.70 MHz; see Methods for additional fit parameters. Each plot is normalized to unity, and recorded data are taken with −56 dBm of MW drive power.
While useful for characterizing spin–cavity coupling strength, operation at low applied MW power is undesirable for high-fidelity spin readout due to the fixed contribution of Johnson noise. Applying higher MW power minimizes the fractional contribution of Johnson noise and other additive noise sources, but higher applied power will also produce deleterious broadening of the spin ensemble resonance; the optimum power is set by a balance between these two considerations (see Methods). We empirically determine that approximately 10 dBm is optimal for the present system (see Supplementary Note 5), resulting in a maximum reflected power of −2.4 dBm. The high peak reflected MW power (3.0 × 1020 MW photons/s) for the NV− ensemble of ≈1.4 × 1015 polarized spins, combined with unity contrast, ensures that MW photon shot noise does not limit the achievable readout fidelity (given experimentally relevant readout timescales; see Supplementary Note 1).
The readout method also provides a cavity-mediated narrowing of the magnetic resonance feature. This narrowing is illustrated in Fig. 3, which shows a MW cavity readout magnetic resonance signal plotted alongside a conventional optically detected magnetic resonance (ODMR) signal recorded simultaneously. The MW cavity readout feature exhibits a FWHM linewidth of 4 MHz, while the ODMR linewidth is 8.5 MHz (FWHM). To understand this narrowing, consider the resonance feature associated with reflection from the bare cavity (i.e., the composite cavity without laser light applied) vs. MW drive frequency ωd. The cavity linewidth κc is independent of the spin resonance linewidth κs and, in principle, can be made narrower than the spin resonance by improving the cavity quality factor Q0. The linewidth of the cavity-mediated magnetic resonance feature, however, is a function of both the cavity linewidth and the spin resonance linewidth; roughly speaking, the former determines the dispersive shift needed to reflect 80% input power, while the latter partially determines the size of the dispersive shift for a given change in magnetic field. Moreover, the size of the dispersive shift for a given change in magnetic field is not determined solely by the spin resonance linewidth; the size of this shift increases with increased cooperativity. Thus, the cavity-mediated linewidth can be narrower than the spin resonance linewidth for sufficiently large values of geff and sufficiently small values of κc. The cavity-mediated narrowing is advantageous to magnetometer operation, as narrower magnetic resonance features can be localized with greater precision. The line narrowing effect is in agreement with expected behavior from the numerical model including inhomogeneous broadening, as shown in Fig. 3.


Comparison of contrast and linewidth in MW cavity readout magnetic resonance and ODMR.
The signal associated with the NV−
The magnetometer is calibrated with a 10 Hz test magnetic field with a 1 μT root-mean-square (RMS) amplitude. The measured noise spectrum is scaled using this known magnetic field value to produce a noise spectrum in magnetic field units, and we project a minimum sensitivity of 3.2


MW cavity readout magnetometer sensitivity.
Based on noise spectral density measured during magnetometer operation (blue solid line), we project a sensitivity of ≈ 3
The projected sensitivity of the present magnetometer is among the highest reported broadband sensitivities of devices employing NV ensembles. For example, the best NV-ensemble-based broadband magnetometers employing conventional optical readout have achieved sensitivities ranging from 0.9 pT/
The MW cavity readout method demonstrated here offers compelling advantages over alternative approaches for bulk solid-state quantum sensors. First, the method realizes unity contrast and circumvents the photon shot-noise limitations inherent to conventional optical readout. In addition, unlike alternative optical readout techniques, MW cavity readout does not introduce deleterious overhead time in the measurement process. Finally, the technique promises favorable scaling; the measurement SNR increases linearly with the number (N) of defects interrogated, allowing for readout at the spin-projection limit for sufficiently large N. Room-temperature magnetometry with sensitivity approaching the spin-projection limit would enable an increase in the utility of solid-state quantum sensors, for example in magnetocardiography51 and magnetoencephalography52 devices. Although demonstrated here using NV− centers in diamond, MW cavity readout can be performed on other solid-state crystals and paramagnetic spins, and is not exclusive to the small minority demonstrating optical fluorescence with significant spin-state dependence. For example, di-vacancy53 and silicon-vacancy centers54 in silicon carbide can be optically spin polarized, but these defects display poor fluorescence contrast between spin states55; thus, cavity-enhanced MW readout could offer advantages for sensors based on these defects. In addition to magnetometry, we expect that this technique will find broad application in precision tests of fundamental physics56, precision frequency generation18, and electric field sensing2,57.
This work employs a natural, brilliant-cut diamond with volume Vdia = 25 mm3 which was subsequently HPHT-processed and irradiated following the Lucent process58. From electron paramagnetic resonance (EPR) measurements and comparison with a reference sample, the NV− density is estimated to be [NV−] = 5 ± 2.5 ppm, corresponding to a total NV− number Ntot = 2 ± 1 × 1016. As a natural diamond, the sample displays substantial strain and exhibits an inhomogeneous dephasing time
The diamond is affixed to a semi-insulating wafer of silicon carbide (SiC) for mechanical support and located coaxially between two cylindrical dielectric resonators (relative dielectric ϵr ≈ 34, radius a = 8.17 mm, cylindrical length L = 7.26 mm, with a 4 mm diameter center-cut hole). The combined diamond-resonator composite cavity has a resonance frequency ωc = 2π × 2.901 GHz and an unloaded quality factor Q0 ≈ 22000. The composite cavity is centered inside an aluminum shield (inner diameter = 50.8 mm, length = 89 mm) to reduce radiative losses. NV− centers within the diamond are continuously polarized into the
Figure 1c depicts the main MW circuit components. Microwaves (produced by a Keysight E8257D PSG) at frequency ωd are split into a signal and reference component, with the signal components passing through an attenuator and circulator before coupling into the composite cavity. The MWs are inductively coupled to the composite cavity by a wire loop (the input coupling loop) mounted on a translation stage. MWs reflected from the cavity can be measured in one of three ways: directly via the 50 Ω termination of an oscilloscope; through an amplifier followed by a crystal detector (which measures a correlate of the reflected power); or through an amplifier to the RF port of an IQ mixer, with the local oscillator (LO) port driven by the reference MW component. Transmission occurs through an additional wire loop (the output coupling loop) on a translation stage and is measured on a crystal detector.
Slight modifications of the setup are employed to collect the data shown in Figs. 2, 3 and 4, as described below.
Reflection and transmission data in Fig. 2 are collected simultaneously. For both transmission and reflection measurements, the MWs are detected using a crystal detector operating in the linear regime. During this measurement, both the input and output coupling loops are undercoupled (QL = 14,500, compared to Q0 = 22,000).

The data in Fig. 3 are also collected employing the crystal detector to measure reflected MW power. The MW drive is set to the bare cavity resonance, ωd = ωc. The input coupling loop is critically coupled to the composite cavity, and the output coupling loop is removed, so that κc = 2κc0. The spin transition frequency ωs is tuned across the cavity resonance ωc by varying the value of
For magnetometry, MWs reflected from the composite cavity are amplified, band-pass filtered, and mixed with an attenuated and phase-shifted reference component. The reflected signal is mixed to base band using an IQ mixer. The phase of the reference component, which drives the mixer local oscillator (LO) port, is adjusted until the absorptive ( ∝ Re[Γ]VIn) and dispersive ( ∝ Im[Γ]VIn) components are isolated to the in-phase (I) and quadrature (Q) channels respectively.
The magnetometry sensisitivity is characterized by monitoring the Q channel as a 1 μT (RMS) field is applied via the test coil. The test field is calibrated using the known dependence of the ODMR resonances on the applied field. The RMS amplitude of the test field is checked with a commercial magnetometer and also via calculation from the known coil geometry and applied current. The magnetometer sensitivity is given by

Although applying higher MW power decreases fractional Johnson noise, it also broadens the dispersive resonance feature66. Hence, there exists an optimal power P to achieve a maximum absolute value of the slope
In the high-MW-drive-power (i.e., primarily dispersive) regime, the maximal slope is achieved in the Q channel when ωs = ωc = ωd. By using only the permanent magnet to set ωs = ωc, we ensure that the test coil current source does not contribute to the noise floor of the magnetometer.
The online version contains supplementary material available at 10.1038/s41467-021-21256-7.
The authors acknowledge L. M. Pham and J. A. Majumder for helpful discussions and assistance in determining properties of the experimental sample, R. McConnell for useful discussions on circuit and cavity quantum electrodynamics, and C. Panuski for helpful discussions on EPR and early theory developments. E.R.E. was supported by the National Science Foundation (NSF) through the NSF Graduate Research Fellowships Program. This material is based upon work supported by the Under Secretary of Defense for Research and Engineering under Air Force Contract No. FA8702-15-D-0001. Any opinions, findings, conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the Under Secretary of Defense for Research and Engineering.
J.F.B. and M.F.O. conceived the project. E.R.E. and J.F.B. designed and constructed the experimental apparatus, with D.A.B. providing technical guidance. E.R.E. performed the experiments and developed analysis software. M.F.O. developed the theory, with J.F.B., E.R.E., J.M.S., and D.A.B. providing additional theory development. E.R.E., J.M.S., M.H.S., J.F.B., and M.F.O. prepared the manuscript and contributed to data analysis. All authors discussed results and revised the manuscript. D.A.B. and D.R.E. supervised the project.
The data in Figs. 1–4 that support the findings of this study are available from the corresponding author upon reasonable request.
The code that supports the findings of this study are available from the corresponding author upon reasonable request.
The authors declare no competing interests.
1.
2.
3.
4.
5.
6.
7.
8.
9.
10.
11.
12.
13.
14.
15.
16.
17.
18.
19.
20.
21.
22.
23.
24.
25.
26.
27.
28.
29.
30.
31.
32.
33.
34.
35.
36.
37.
38.
39.
40.
41.
42.
43.
44.
45.
46.
47.
48.
49.
50.
51.
52.
53.
54.
55.
56.
57.
58.
59.
60.
61.
62.
63.
64.
65.
66.