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High-yield, wafer-scale fabrication of ultralow-loss, dispersion-engineered silicon nitride photonic circuits


Low-loss photonic integrated circuits and microresonators have enabled a wide range of applications, such as narrow-linewidth lasers and chip-scale frequency combs. To translate these into a widespread technology, attaining ultralow optical losses with established foundry manufacturing is critical. Recent advances in integrated Si3N4 photonics have shown that ultralow-loss, dispersion-engineered microresonators with quality factors Q > 10 × 106 can be attained at die-level throughput. Yet, current fabrication techniques do not have sufficiently high yield and performance for existing and emerging applications, such as integrated travelling-wave parametric amplifiers that require meter-long photonic circuits. Here we demonstrate a fabrication technology that meets all requirements on wafer-level yield, performance and length scale. Photonic microresonators with a mean Q factor exceeding 30 × 106, corresponding to 1.0 dB m−1 optical loss, are obtained over full 4-inch wafers, as determined from a statistical analysis of tens of thousands of optical resonances, and confirmed via cavity ringdown with 19 ns photon storage time. The process operates over large areas with high yield, enabling 1-meter-long spiral waveguides with 2.4 dB m−1 loss in dies of only 5 × 5 mm2 size. Using a response measurement self-calibrated via the Kerr nonlinearity, we reveal that the intrinsic absorption-limited Q factor of our Si3N4 microresonators can exceed 2 × 108. This absorption loss is sufficiently low such that the Kerr nonlinearity dominates the microresonator’s response even in the audio frequency band. Transferring this Si3N4 technology to commercial foundries can significantly improve the performance and capabilities of integrated photonics.


Silicon photonics1,2 has evolved into a mature technology enabling the generation, modulation, and detection of optical signals on-chip, via heterogeneous or hybrid integration of different materials3,4,5. Many integrated devices have been demonstrated using silicon photonics, including silicon-based lasers6,7. Within the past two decades, they have been transferred from academic research to large-volume commercial deployment in datacenter interconnects. A second revolution is currently under way, where the optical nonlinearities of photonic integrated circuits (PICs)—accessed with continuous-wave lasers at sub-milliwatt power—can enable novel devices, of which Kerr frequency combs have been one of the studied processes. Dissipative Kerr soliton frequency combs (“soliton microcombs”)8,9 constitute chip-scale frequency combs of broad bandwidths and repetition rates in the terahertz to microwave domain, and offer a route to highly compact frequency combs for a variety of applications in airborne systems or space. Microcombs are compatible with wafer-scale manufacturing as well as hybrid integration with III-V/Si lasers10,11,12, and have already been used in various system-level demonstrations including coherent telecommunications13,14, astronomical spectrometer calibration15,16, ultrafast ranging17,18, massively parallel coherent LiDAR19, frequency synthesizers20, atomic clock architectures21, and neuromorphic computing22,23. Many integrated nonlinear photonic platforms for microcombs have emerged, ranging from Si3N424,25,26,27,28,29,30, diamond31, tantala32, and SiC33 to highly nonlinear AlGaAs34,35 and GaP36 on insulator, as well as electro-optic platforms such as LiNbO337,38,39,40 and AlN41,42,43.

For integrated nonlinear photonics, in particular soliton microcombs, Si3N444 has emerged as a leading material due to its ultralow optical losses, absence of two-photon absorption in the telecommunication bands, strong Kerr nonlinearity, high refractive index, space compatibility45 and exceptionally high power handling capability46,47. To date, among all integrated photonic platforms48, optical losses near or below 1 dB m−1 have only been demonstrated in Si3N4 PICs. While thin-core waveguides (i.e. waveguide height h < 100 nm)49,68,51 have achieved ultralow losses, they are not suitable for nonlinear photonics due to the low effective refractive indices, low Kerr nonlinearity and large mode areas. Only recently, nonlinear, thick-core waveguides (i.e. h > 700 nm)24,25,26 enabling negligible bending losses, dispersion engineering, and high Kerr nonlinearity, have been demonstrated, as outlined in Fig. 1. Most of the aforementioned system-level demonstrations of soliton microcombs13,15,17,19,20,21 are based on this type of Si3N4 PICs. In addition, power-efficient supercontinuum generation has also been attained in the near-infrared as well as mid-infrared, enabling dual-comb spectrscopy52,53. Figure 1a highlights the lowest-loss thick-core (refs. 24,25 and this work) and thin-core (refs. 49,50) Si3N4 waveguides in terms of their optical losses and effective areas of the fundamental optical mode, in comparison with the state-of-the-art, lowest-loss silicon54, InP55, and AlGaAs35 waveguides. The tight confinement significantly reduces the bending loss, a key parameter for device footprint and photonic integration, as outlined in Fig. 1b. Though the desirable combination of tight confinement, ultralow loss, and engineered anomalous group-velocity dispersion (GVD) has been achieved24,25, it has only been attained in individual chips, i.e. with die-level throughput. Meanwhile, the fabrication of densely packed, meter-long PIC has not yet been realized, and neither has wafer-level fabrication yield, reliability and reproducibility, required for widespread adoption in CMOS foundries. Yet, densely packed, meter-long nonlinear Si3N4 PIC could enable a new class of devices, ranging from integrated traveling-wave parametric amplifiers56,57,58,59 to integrated mode-locked-lasers based on rare-earth doping60.

Fig. 1: Comparison of ultralow-loss linear and nonlinear Si3N4 platforms with state-of-the-art silicon, InP and AlGaAs platforms.
figure 1

a Comparison of optical losses and effective mode areas (in the telecommunication band of 1550 nm) in state-of-the-art, low-loss waveguides, including nonlinear (i.e. thick-core, refs. 24,25 and this work) and linear (i.e. thin-core, refs. 49,50) Si3N4 waveguides, 220 nm silicon-on-insulator (SOI) waveguides54, 1000 nm InP rib waveguides55, and nonlinear AlGaAs waveguides35. The insets show the waveguide geometry and optical mode profile of the Si3N4 waveguides. b Comparison in device size for linear and nonlinear Si3N4 waveguides and single-mode fibers. c Simulated GVD parameter Dλ as a function of the waveguide height h, with a fixed waveguide width of w = 2.1 μm. d Simulated bending loss as a function of the waveguide height h, with a fixed bending radius of d/2 = 25 μm and waveguide width of w = 2.1 μm. Anomalous-GVD region is brown-shaded, which is accessed with h > 700 nm. The wavelength studied here is 1550 nm.

Here we report a high-yield, wafer-scale fabrication technology to build tight confinement, ultralow-loss, dispersion-engineered Si3N4 waveguides of length exceeding one meter. This Si3N4 fabrication technology is based on the photonic Damascene process61 using standard CMOS fabrication techniques such as DUV stepper lithography, dry etching, and low-pressure chemical vapor deposition (LPCVD). Integrated Si3N4 microresonators fabricated using this process are systematically characterized and analyzed, showing quality (Q) factors above 30 × 106, linear losses of 1 dB m−1, and wafer-level yield.


Wafer-scale-yield photonic Damascene process

Figure 2a shows the process flow of the optimized photonic Damascene process, and scanning electron micrographs (SEM) for selected key steps. The waveguides and stress-release filler patterns61,62 are written directly on the SiO2 substrate via DUV stepper lithography based on a 248 nm KrF excimer laser. The use of DUV, in contrast to the commonly employed electron-beam lithography, enables a dramatic increase in fabrication throughput, stability, and reproducibility, essential to large-volume manufacturing. The patterns are then dry-etched into the SiO2 substrate to create waveguide preforms. We note that our SiO2 dry etching does not introduce a trade-off between the etch verticality and surface roughness. Figure 2d top shows the sidewall bottom angle 90 < β < 92. To further reduce the waveguide’s root mean square sidewall roughness to sub-nanometer level, the substrate is annealed at 1250 C (“preform reflow”)63. Importantly, this reflow process can further reduce the scattering loss (see Supplementary Information), and does not lead to significant deformation of the waveguide preform. Figure 2d bottom shows the measured sidewall bottom angle β ≈ 93, after reflow. An LPCVD Si3N4 film of 1000 nm thickness is deposited on the patterned substrate, filling the preform trenches and forming the waveguides. To improve the yield and allow wafer-scale processing, an etchback planarization process is applied (see Supplementary Information), combining photoresist coating, dry etching and chemical–mechanical planarization (CMP). This process enables full control of the polishing depth, sub-nanometer surface roughness, and wafer-scale uniformity of Si3N4 waveguide height with variation below 3%, critical for monolithic or heterogeneous integration of piezoelectric materials64,65, electro-optic materials66, and monolayer two-dimensional materials67. Afterward, the substrate is thermally annealed at 1200C to drive out the residual hydrogen impurities in the Si3N4 film26,68. A top SiO2 cladding composed of TEOS and low-temperature oxide is deposited on the wafer, followed by thermal annealing of the SiO2 at 1200 C. Finally, the wafer is separated into chips via deep dry etching followed by dicing or backside grinding, to attain chip facets with the superior quality required for edge coupling11,12.

Fig. 2: The wafer-scale photonic Damascene process flow and highlighted features.
figure 2

a Process flow of the optimized photonic Damascene process including DUV stepper lithography, preform dry etching, preform reflow, LPCVD Si3N4 deposition, planarization, and SiO2 cladding deposition. The blue shaded parts are Si3N4. b Photograph showing Si3N4 photonic chips with microring resonators of different FSRs. c Optical micrograph showing the bus waveguide, microring resonator, and filler patterns (used to prevent crack formation). Inset: simulated tightly confined optical mode. d Transmission electron micrographs (TEM) of the waveguide cross-sections, before (top) and after (bottom) the preform reflow. The reflow preserves the waveguide dimensions accurately, while removing high-frequency spatial roughness.

Figure 2b shows the final Si3N4 chips which contain multiple ring resonators of different free spectral ranges (FSRs). Figure 2c shows the optical micrograph of the Si3N4 microring resonator, bus waveguide, and filler patterns, as well as the tightly confined waveguide mode. The resulting negligible bending loss allows high-Q microresonators of small radii (below 23 μm, i.e. 1 THz FSR), which find widespread applications in optical filters and coupled-resonator-based delay lines69,70. The filler patterns consist of horizontal and vertical bars uniformly distributed over the entire wafer area, and can significantly relax the as-deposited LPCVD Si3N4 film stress for crack prevention (see Supplementary Information). These filler patterns are also required for etching and CMP uniformity. In terms of the number of usable chips free from cracks, our fabrication yield is 100%, as no cracks have been observed in the past runs of more than 30 wafers using the same stress-release filler patterns.

Statistical analysis of microresonator quality factors

We fabricate Si3N4 microresonators of 40 GHz FSR, 2200 nm width and 950 nm height, and systematically study the microresonator Q factors (i.e. losses). Frequency-comb-assisted diode laser spectroscopy26,71 is used to characterize the resonance frequency ωopt/2π and linewidth κ/2π, which relate to the resonance Q factor as Q = ωopt/κ. Here we mainly study the fundamental transverse electric (TE00) mode. The total (loaded) linewidth κ/2π = (κ0 + κex)/2π, the intrinsic loss κ0/2π and the coupling strength κex/2π are extracted from each resonance fit. Figure 3a shows the κ0/2π histogram of 10,197 TE00 resonances measured from twenty-six microresonators. The most probable value is κ0/2π = 6.5 MHz, corresponding to an intrinsic Q factor of Q0 = 30 × 106. In comparison, κ0/2π = 9.5 MHz is found for the fundamental transverse magnetic (TM00) mode, corresponding to Q0 = 20 × 106 (see Supplementary Information). In addition, by plotting the fitted κ0/2π as a function of the resonance wavelength measured from 1260 nm to 1630 nm, a weak trend showing a larger κ0/2π at a shorter wavelength is observed (see Supplementary Information). Finally, as the threshold power for soliton formation scales as 1/Q2, such a high microresonator Q allows soliton formation with 40 GHz repetition rate with only 10 mW optical power, obviating the need for an optical power amplifier (see Supplementary Information).

Fig. 3: Statistical study of microresonator Q factors using multiple techniques.
figure 3

a Histogram of 10,197 TE00 resonances from twenty-six microresonators, showing the most probable value of κ0/2π = 6.5 MHz and Q0 = 30 × 106. b DUV stepper exposure layout, and the most probable value κ0/2π of the C7 chips at different positions on the wafer. The reticle design containing sixteen chips is uniformly exposed in discrete fields over a 4-inch wafer. NA: not applicable, due to visible photoresist coating defects or missing C7 chips near the wafer edge. c Linewidth measurement of the same resonance at 1550.6 nm using frequency-comb-assisted diode laser spectroscopy (left, κ/2π = 7.75 MHz and κ0/2π = 5.87 MHz) and sideband modulation technique (right, κ/2π = 7.95 MHz and κ0/2π = 6.05 MHz). This resonance does not present a visible mode split. d Cavity ring-down measurement. An intensity modulator (IM) is used to switch off the pump field. The cavity ring-down signal is averaged 1000 times. The exponential fit gives an optical field decay time of τ = 37.8 ns, corresponding to a photon decay time of 18.9 ns and a loaded linewidth of κ/2π = 8.4 MHz. arb.u: arbitrary unit, AWG: arbitrary function generator, OSC: oscilloscope, CW: continuous-wave laser, FPC: fiber polarization controller.

Next, we demonstrate the wafer-scale yield of our fabrication technology. Figure 3b shows our mask layout comprising 4 × 4 chip designs on the DUV stepper reticle. Each chip has a 5 × 5 mm2 size, and contains multiple microresonators as shown in Fig. 2b. The DUV stepper writes the reticle pattern uniformly over the full 4-inch wafer in discrete fields. The calibration chips of 40 GHz FSR studied here are the C7 chips. The most probable values of κ0/2π for the C7 chips are measured and plotted in each exposure field, as shown in Fig. 3b (see each individual histogram in Supplementary Information). In most fields, κ0/2π 7.5 MHz is found. While exceptionally narrow linewidths have been reported previously in individual resonances, our statistics based on tens of thousands of analyzed resonances from dozens of samples at different wafer positions shows wafer-scale fabrication throughput and yield. In terms of loss values or microresonator Q factors, we define the yield as the ratio between the number of the chips with linewidths below 20 MHz (i.e. Q0 > 10 × 106) to the total number of measured chips. In the present case of 40-GHz-FSR chips, the yield is calculated as 15/17 = 89% (The C7 chips in F12 and F13 are not available because of visible lithography defects; the C7 chips in F16, F18, F19, F21 are partially exposed, thus these four are not counted). In the Supplementary Information, the wafer-scale loss measurement is also illustrated on another wafer containing 10-GHz-FSR chips (used in ref. 72). Besides, a statistical process analysis based on fifteen wafers is shown, demonstrating the wafer-to-wafer reproducibility of our fabrication process.

In addition, a sideband modulation technique73 is used to measure the resonance linewidth κ/2π and to fit κ0/2π. Two sidebands, each separated from the carrier by 100 MHz, are used to calibrate the resonance linewidth. Figure 3c compares the measured κ/2π and fitted κ0/2π of the same resonance that does not present a visible mode split, using both the frequency-comb-assisted diode laser spectroscopy (κ/2π = 7.75 MHz and κ0/2π = 5.87 MHz) and the sideband modulation technique (κ/2π = 7.95 MHz and κ0/2π = 6.05 MHz). Both methods agree with each other, and show Q0 > 32 × 106.

Furthermore, a cavity ring-down measurement is performed to validate the measured linewidth (see Methods). Figure 3d shows the schematic of the experimental setup and a representative ring-down measurement data. The fitted optical field decay time is 37.8 ns, corresponding to 18.9 ns photon storage time. The calculated loaded linewidth is κ/2π = 8.4 MHz, showing consistency between the three characterization methods used here.

Meter-long spiral waveguides

In addition to high-Q microresonators, we also fabricate and characterize meter-long spiral waveguides that are key elements to build photonic true-time delay lines. Previously, silica suspended wedge waveguides74 and thin-core Si3N4 waveguides51 have been studied to build delay lines with losses below 0.1 dB m−1. However, in order to avoid bending losses, these waveguides must occupy more than 20 cm2 areas, thus requiring significant device footprints. While tight optical confinement can reduce the footprint, losses approaching even 1 dB m−1 have not been achieved in any nonlinear waveguide including thick-core Si3N4. Here, we demonstrate meter-long Si3N4 waveguides featuring ultralow loss and small footprint, which can enable key applications such as traveling-wave parametric amplifiers56,57,58,59, rare-earth-doped mode-locked lasers60 and optical coherence tomography (OCT)75.

Figure 4a shows a photograph of photonic chips containing Si3N4 waveguides of physical lengths L > 1 m. Figure 4b–d shows the spiral layout. The waveguides are densely packed in Archimedean spirals, with waveguide width w = 2.1μm and gap distance g = 4μm. Three lengths are studied here: a 0.5-meter-long spiral containing 50 coils and covering a 3.1 mm2 area; a 1.0-meter-long spiral containing 106 coils and covering a 6.6 mm2 area; and a 1.4-meter-long spiral containing 130 coils and covering a 20.2 mm2 area. Compared with the previous work based on thin-core Si3N4 waveguides51 showing a device footprint of more than 20 cm2 area for 1 meter physical length, our devices reduce the necessary footprint by a factor of 300, critical for photonic integration. Figure 4e shows the measured losses in multiple samples, calibrated using the adjacent 5-millimeter-long waveguide which has a fiber-chip-fiber through coupling efficiency of 33% (4.8 dB for two chip facets). The lowest-loss values found are 1.7 dB m−1 for 0.5 m length, 2.4 dB m−1 for 1.0 m length, and 4.1 dB m−1 for 1.4 m length. These loss values are higher than the value extrapolated from microresonator Q characterization (1.0 dB m−1). Meanwhile, the overall trend shows higher losses in longer waveguides. We attribute both observations to additional light-scattering defects. Light-scattering defects are found under an infrared (IR) microscope, as shown in Fig. 4c. By counting the number of defects in high-loss spirals, we estimate that each defect causes 1–2 dB extra loss. The defect probability depends on the waveguide area. These defects are likely caused by particle contamination on the wafer, as we have verified that these defects are not on the DUV reticle which would generate the same defects in the same position in each exposure field. Figure 4f shows the calibrated losses measured at different wavelengths for four selected samples. Again, a trend showing higher losses at shorter wavelengths is observed.

Fig. 4: Small-footprint, meter-long, ultralow-loss Si3N4 spiral waveguides.
figure 4

a Photograph showing Si3N4 chips containing two 1.0-meter-long and one 1.4-meter-long spiral waveguides. b, c Optical micrographs of the densely packed Si3N4 waveguides in Archimedean spirals, taken with a yellow light camera (b) and IR camera (c). When 1550 nm laser light is coupled into the waveguide, light-scattering defects are observed under the IR camera (highlighted with a red circle). d Schematic showing the waveguide width and spacing. e Measured and calibrated optical losses at 1550 nm wavelength in 0.5 m, 1.0 m, and 1.4 m long spiral waveguides. f Measured and calibrated losses at different wavelengths for four selected samples.

Quantitative analysis of absorption losses using a Kerr-calibrated linear response measurement

Next, we quantitatively investigate the intrinsic absorption and scattering losses of our Si3N4 waveguides. The optical losses in the telecommunication band have two main contributions: Rayleigh scattering losses that are mainly caused by waveguide sidewall roughness, and absorption losses due to e.g. hydrogen impurities. While the hydrogen absorption loss can be efficiently eliminated via repeated thermal annealing of Si3N4 at high temperature (~1200 C)26,68, efforts on loss reduction have mainly been focused on reducing waveguide roughness via optimized dry etching25 and etchless processes76,77. In addition, the large mode area of thin-core Si3N4 waveguides49,50,51 results in reduced optical mode interaction with waveguide sidewall roughness, and thereby reduced scattering losses.

To quantify the thermal absorption loss of our Si3N4 waveguides, a linear response measurement36 is performed. We characterize the resonance frequency shift response of the probe mode induced by intensity modulation of the pump mode, and utilize the measured response to calibrate the absorption loss of the pump resonance. The method exploits the fact that the thermal response χtherm(ω) dominates at low frequency, while the Kerr response χKerr(ω) dominates at higher frequency. The experimental setup is shown in Fig. 5a. The pump laser is first tuned to the optical resonance (frequency νm) for which the thermal absorption loss κabs/2π is to be characterized, and is then intensity-modulated at a frequency of ω/2π which is swept from 1 kHz to 100 MHz. Meanwhile, the probe laser is loosely locked (i.e. with ~300 Hz locking bandwidth) to a probe resonance whose frequency is \(\nu ^{\prime}\).

Fig. 5: Probing the absorption loss of Si3N4 microresonators via Kerr-nonlinearity-calibrated thermal response measurements.
figure 5

a Experimental setup. ECDL: external-cavity diode lasers. IM: intensity modulator. VNA: vector network analyzer. PBS: polarization beam splitter. b Thermal simulation of the temperature distribution in the waveguide structures. c Comparison of the loss values measured using the response measurement and frequency-comb-assisted diode laser spectroscopy, on a partially annealed sample with prominent hydrogen absorption losses. This comparison reveals an approximate, wavelength-independent, 12 MHz loss difference between the two datasets, which is presumed to be due to intrinsic scattering loss. d For the two resonances at 1514 nm and 1618 nm shown in (c), the measured (red) and fitted (black) frequency response χ(ω) normalized to χKerr. The fitted cavity cutoff frequencies are, κ/4π = 22.7 MHz (λ = 1514 nm), and κ/4π = 17.1 MHz (λ = 1618 nm). e Calibrated absorption loss κabs/2π of different resonances from different samples. f For the two resonances at 1515 nm and 1577 nm of the 40-GHz-FSR samples shown in (e), the measured frequency response χ(ω) normalized to χKerr (red and black). The fitted cavity cutoff frequencies are, κ/4π = 7.4 MHz (λ = 1515 nm), and κ/4π = 10.8 MHz (λ = 1577 nm). In (d, f), we show the fitted Kerr (blue) and thermal (green) responses, and the gray areas mark the modulation frequency range from 1 to 10 kHz (the measured response within this range is not included in the response fitting). The fitted values of \(\gamma =\frac{{\chi }_{\text{therm}}(0)}{{\chi }_{\text{Kerr}}(0)}\) are shown in (d, f). The fitted thermal response \(| \frac{{\chi }_{{\rm{therm}}}(\omega )}{{\chi }_{{\rm{Kerr}}}(0)}{| }^{2}\) is not shown in (f) as it is mostly below 10−1. The error bars shown in (c, e) account for fitting errors (95% confidence interval).

This intensity modulation causes a change in the intracavity photon number nc of the pump mode, which modulates the resonance frequency of the probe mode via Kerr and thermal nonlinearities. The pump power is maintained sufficiently low \({\mathcal{O}}(100\mu {\rm{W}})\), such that the steady-state frequency shift of the probe mode is small compared to the resonance linewidth κ/2π, i.e. \(\delta {\nu }_{m^{\prime} }\ll \kappa /2\pi\). In this linear regime, the probe mode’s frequency response to the modulated pump power is given by36

$$\chi (\omega )=\frac{\delta {\nu }_{m^{\prime} }}{\delta {n}_{{\rm{ph}}}}={\chi }_{{\rm{therm}}}(\omega )+{\chi }_{{\rm{Kerr}}}(\omega ).$$

The total response χ(ω) consists of two parts: the Kerr response χKerr(ω) with infinite bandwidth, and the thermal response χtherm(ω) with a corner frequency around 40 kHz. Therefore, by calibrating the response χ(ω) as a function of the modulation frequency ω/2π, χtherm(ω) and χKerr(ω) can be individually identified. Using the inferred values of χtherm(ω) and χKerr(ω) at DC (ω = 0), the absorption rate is calculated as

$${\kappa }_{{\rm{abs}}}=\frac{2c{n}_{\text{mat}}{n}_{2}}{{n}_{g}{n}_{{\rm{eff}}}{V}_{{\rm{eff}}}\frac{{\rm{d}}T}{{\rm{d}}{P}_{{\rm{abs}}}}\frac{{\rm{d}}{n}_{\text{mat}}}{{\rm{d}}T}}\frac{{\chi }_{{\rm{therm}}}(0)}{{\chi }_{{\rm{Kerr}}}(0)}$$

where Veff is the effective optical mode volume, n2 = 2.4 × 10−19m2/W is the nonlinear index of Si3N4, ng = 2.1 is the group index, nmat = 2.0 is the material index, neff = 1.8 is the effective index, dnmat/dT = 2.5 × 10−5/K is the thermo-optic coefficient of Si3N4, and Pabs is the absorbed power. The full derivation of Eq. (2) is shown in the Supplementary Information.

The frequency response \(\delta {\nu }_{m^{\prime} }\) to the pump modulation is transduced into phase modulation of the probe laser. This phase modulation is measured using balanced homodyne detection, with the pump laser filtered out before detection (see “Methods”). To evaluate the absorption rate κabs, the factor γ = χtherm(0)/χKerr(0) is retrieved by fitting the response function shown in Eq. (3) in “Methods”, which consists of one simulated thermal cutoff and two cavity cutoffs, to the measured response at frequencies above 10 kHz. This 10 kHz frequency cutoff for fitting is chosen to be far outside the locking bandwidth, and the thermal response simulation within this frequency range is still validated. Therefore, we actually anchor the response DC offset in Eq. (2) at 10 kHz. Finite-element simulations of optical mode profiles and bulk absorption heating (see Fig. 5b) are performed to calculate the coefficients Veff and to retrieve the frequency-domain thermal response function \(\frac{{\rm{d}}T}{{\rm{d}}{P}_{{\rm{abs}}}}(\omega )\) used in the fitting (see “Methods”). The simulation model we use to extract the thermal response function is validated by our recent measurement78 of the thermorefractive noise in these Si3N4 devices. Figure 5d, f presents four examples of measured and fitted χ(ω). Supplementary Information provides more details on data analysis.

To validate our method, we first benchmark the linear response measurement by characterizing a partially annealed Si3N4 sample whose resonance linewidth data have been published in ref. 26. We characterize this particular sample again, using both the response measurement and frequency-comb-assisted diode laser spectroscopy, and compare the results using both methods in Fig. 5c. Assuming a wavelength-independent scattering loss of 12 MHz, the measured absorption loss using the response measurement agrees with the total loss measured spectroscopically.

Figure 5e shows the calculated absorption rates κabs/2π of different resonances from four 40-GHz-FSR Si3N4 samples featuring Q0 > 30 × 106 (this work), in comparison with 10-GHz-FSR samples (used in ref. 72, κ0/2π = 8.5 MHz) and 100-GHz-FSR samples (used in ref. 26, κ0/2π = 13.5 MHz) fabricated using the same process but from different wafers. All samples show similar trends, and present two conclusions. First, the mean absorption loss for 40-GHz-FSR samples is κabs/2π ~ 1 MHz, corresponding to an absorption-loss-limited Q factor of approximately 2 × 108. Therefore, the optical losses of our Si3N4 waveguides (κ/2π = 6.5 MHz) are currently dominated by scattering losses. Second, for all the samples studied, κabs/2π is higher around 1520 nm, compared to the value at e.g. 1600 nm. This is caused by the residual hydrogen impurities in our thermally annealed Si3N4. Note that only standard LPCVD Si3N4 /SiO2 films and thermal annealing are used in our fabrication to achieve such low absorption losses.


In conclusion, we have demonstrated a fabrication technology enabling high-yield and reproducible wafer-scale manufacturing of ultralow-loss, high-confinement, anomalous-GVD Si3N4 PIC. This optimized fabrication process employs standard CMOS foundry techniques, and has advantages in multiple aspects compared to previously reported Si3N4 fabrication processes (see the comparison chart in the Supplementary Information). We present a statistical study of microresonator losses based on tens of thousands of analyzed resonances. We introduce a novel method to determine the absorption losses, and use it to reveal that our waveguide losses are dominated by scattering losses, which could be further reduced via e.g. optimized lithography and etching. In the ideal case limited only by thermal absorption losses, the potential microresonator Q is calculated to exceed 2 × 108 (corresponding to a linear loss of 0.15 dB m−1). The optimized photonic Damascene fabrication technology allows tight confinement, ultralow-loss, high-yield, meter-scale, nonlinear PIC. Transferring the present Si3N4 photonics technology to standard commercial foundries, and merging it with silicon photonics using heterogeneous integration technology3,4,5, will significantly expand the scope of today’s integrated photonics and seed new applications.


Cavity ring-down

An intensity modulator (IM) is used to rapidly switch off the pump field. The ring-down signal of the transmitted light is recorded by a 1-GHz-bandwidth low-noise photodetector. A 50-kHz square wave electrical drive signal is generated using a fast arbitrary waveform generator, ensuring that the light is switched off significantly faster than the resonance linewidth. The upper and lower voltage levels of the square wave are adjusted to match the maximum and minimum transmission voltage of the IM, such that the electrical overshoot and undershoot of the square wave signal do not alter the ring-down slope. Due to the finite extinction ratio of the IM, the residual pump field beats with the leakage of the intracavity field, producing a field ring-down signal which is affected by the detuning of the laser from the cavity mode resonances79. At small detunings (κ Δ), the effective ring-down rate is increased by the laser’s detuning from cavity resonance, and thus the directly inferred quality factor is less accurate than the sideband fitting result. Therefore, the ring-down results can only serve as a lower bound of the loaded Q factor of the measured resonances. The estimated loaded linewidth κ/2π = 8.4 MHz is in agreement with the sideband fitting results, showing consistency between the three characterization methods used here.

Thermal simulations

We use COMSOL Multiphysics to simulate the thermal response due to bulk absorption heating of our Si3N4 waveguides. The main material property coefficients of interest used in the current simulation are identical to the ones used in ref. 78 for simulating the Si3N4 thermorefractive noise. The thermo-optic coefficient80 of Si3N4, dnmat/dT = 2.5 × 10−5 K−1, is used here. We first simulate the waveguide optical mode profile (TE00 mode), from which the effective mode volume Veff is calculated. Bulk absorption heating is introduced whose power distribution is proportional to the intensity distribution of the optical mode νm. By solving the frequency-domain heat transfer equation, the response of the effective temperature to the modulated absorbed power, \(\frac{{\rm{d}}T}{{\rm{d}}{P}_{{\rm{abs}}}}(\omega )\), is retrieved from a Fourier frequency sweep. The combined value of Veff dT/dPabs is calculated as 3.60 × 10−13 K m3 W−1 in the case of full SiO2 cladding for samples used in Fig. 5e, f, and is 4.63 × 10−13 K m3 W−1 in the case without top SiO2 cladding for samples used in Fig. 5c, d.

Response calibration

In order to extract the actual microresonator response χ(ω) from the experimentally photodetected \(\chi ^{\prime} (\omega )\), the frequency response \({\chi }_{\det }(\omega )\) of our entire experiment setup and detection chain needs to be calibrated first. This is realized by direct detection of the pump power modulation \(\delta P(\omega )\propto {\chi }_{\det }(\omega )\) in the absence of the probe laser and the pump filter. The measured response \(\chi ^{\prime} (\omega )\) is normalized to the setup response \({\chi }_{\det }(\omega )\), and thus the actual microresonator response \(\chi (\omega )=\chi ^{\prime} (\omega )/{\chi }_{\det }(\omega )\) is retrieved, with a constant factor. This constant factor is removed when retrieving χtherm(0)/χKerr(0) from the fitting of χ(ω) using a fitting function

$$\chi (\omega )={\chi }_{{\rm{Kerr}}}(0)\cdot (1+\frac{{\chi }_{{\rm{therm}}}(0)}{{\chi }_{{\rm{Kerr}}}(0)}\frac{{\chi }_{{\rm{therm}}}(\omega )}{{\chi }_{{\rm{therm}}}(0)})\frac{1}{1+2{\rm{i}}\omega /{\kappa }_{{\rm{probe}}}}\frac{1}{1+2{\rm{i}}\omega /{\kappa }_{{\rm{pump}}}}$$

with κprobe, pump/4π being the cavity cutoff frequencies for the pump and probe fields, respectively. The normalized thermal response function χtherm(ω)/χtherm(0) used in the fitting is retrieved from COMSOL simulation. In Fig. 5d, f, only the normalized response χ(ω)/χKerr(0) is shown, with the constant factor removed.

Data availability

The data that support the plots within this manuscript and other findings of this study are available on Zenodo ( All other data used in this study are available from the corresponding authors upon reasonable request.


  1. Thomson, D. et al. Roadmap on silicon photonics. J. Opt. 18, 073003 (2016).

    ADS  Article  CAS  Google Scholar 

  2. Agrell, E. et al. Roadmap of optical communications. J. Opt. 18, 063002 (2016).

    ADS  Article  CAS  Google Scholar 

  3. Liang, D., Roelkens, G., Baets, R. & Bowers, J. E. Hybrid integrated platforms for silicon photonics. Materials 3, 1782–1802 (2010).

    ADS  CAS  PubMed Central  Article  Google Scholar 

  4. Park, H., Zhang, C., Tran, M. A. & Komljenovic, T. Heterogeneous silicon nitride photonics. Optica 7, 336–337 (2020).

    ADS  CAS  Article  Google Scholar 

  5. Blumenthal, D. J. Photonic integration for UV to IR applications. APL Photonics 5, 020903 (2020).

    ADS  CAS  Article  Google Scholar 

  6. Huang, D. et al. High-power sub-kHz linewidth lasers fully integrated on silicon. Optica 6, 745–752 (2019).

    ADS  CAS  Article  Google Scholar 

  7. Xiang, C. et al. Narrow-linewidth III–V/Si/Si3N4 laser using multilayer heterogeneous integration. Optica 7, 20–21 (2020).

    ADS  CAS  Article  Google Scholar 

  8. Kippenberg, T. J., Gaeta, A. L., Lipson, M. & Gorodetsky, M. L. Dissipative Kerr solitons in optical microresonators. Science 361, eaan8083 (2018).

    PubMed  Article  CAS  Google Scholar 

  9. Gaeta, A. L., Lipson, M. & Kippenberg, T. J. Photonic-chip-based frequency combs. Nat. Photonics 13, 158–169 (2019).

    ADS  CAS  Article  Google Scholar 

  10. Stern, B., Ji, X., Okawachi, Y., Gaeta, A. L. & Lipson, M. Battery-operated integrated frequency comb generator. Nature 562, 401–405 (2018).

    ADS  CAS  PubMed  Article  Google Scholar 

  11. Raja, A. S. et al. Electrically pumped photonic integrated soliton microcomb. Nat. Commun. 10, 680 (2019).

    ADS  CAS  PubMed  PubMed Central  Article  Google Scholar 

  12. Shen, B. et al. Integrated turnkey soliton microcombs. Nature 582, 365–369 (2020).

    ADS  CAS  PubMed  Article  Google Scholar 

  13. Marin-Palomo, P. et al. Microresonator-based solitons for massively parallel coherent optical communications. Nature 546, 274–279 (2017).

    ADS  CAS  PubMed  Article  Google Scholar 

  14. Corcoran, B. et al. Ultra-dense optical data transmission over standard fibre with a single chip source. Nat. Commun. 11, 2568 (2020).

    ADS  CAS  PubMed  PubMed Central  Article  Google Scholar 

  15. Obrzud, E. et al. A microphotonic astrocomb. Nat. Photonics 13, 31–35 (2019).

    ADS  CAS  Article  Google Scholar 

  16. Suh, M.-G. et al. Searching for exoplanets using a microresonator astrocomb. Nat. Photonics 13, 25–30 (2019).

    ADS  CAS  PubMed  Article  Google Scholar 

  17. Trocha, P. et al. Ultrafast optical ranging using microresonator soliton frequency combs. Science 359, 887–891 (2018).

    ADS  CAS  PubMed  Article  Google Scholar 

  18. Suh, M.-G. & Vahala, K. J. Soliton microcomb range measurement. Science 359, 884–887 (2018).

    ADS  CAS  PubMed  Article  Google Scholar 

  19. Riemensberger, J. et al. Massively parallel coherent laser ranging using a soliton microcomb. Nature 581, 164–170 (2020).

    ADS  CAS  PubMed  Article  Google Scholar 

  20. Spencer, D. T. et al. An optical-frequency synthesizer using integrated photonics. Nature 557, 81–85 (2018).

    ADS  CAS  PubMed  Article  Google Scholar 

  21. Newman, Z. L. et al. Architecture for the photonic integration of an optical atomic clock. Optica 6, 680–685 (2019).

    ADS  CAS  Article  Google Scholar 

  22. Feldmann, J. et al. Parallel convolutional processing using an integrated photonic tensor core. Nature589, 52–58 (2021).

  23. Xu, X. et al. 11 TOPS photonic convolutional accelerator for optical neural networks. Nature, 589, pp. 44–51 (2021).

  24. Xuan, Y. et al. High-Q silicon nitride microresonators exhibiting low-power frequency comb initiation. Optica 3, 1171–1180 (2016).

    ADS  CAS  Article  Google Scholar 

  25. Ji, X. et al. Ultra-low-loss on-chip resonators with sub-milliwatt parametric oscillation threshold. Optica 4, 619–624 (2017).

    ADS  Article  Google Scholar 

  26. Liu, J. et al. Ultralow-power chip-based soliton microcombs for photonic integration. Optica 5, 1347–1353 (2018).

    ADS  CAS  Article  Google Scholar 

  27. Ye, Z., Twayana, K., Andrekson, P. A. & Torres-Company, V. High-Q Si3N4 microresonators based on a subtractive processing for Kerr nonlinear optics. Opt. Express 27, 35719–35727 (2019).

    ADS  CAS  PubMed  Article  Google Scholar 

  28. Dirani, H. E. et al. Ultralow-loss tightly confining Si3N4 waveguides and high-Q microresonators. Opt. Express 27, 30726–30740 (2019).

    PubMed  Article  Google Scholar 

  29. Li, Q., Davanço, M. & Srinivasan, K. Efficient and low-noise single-photon-level frequency conversion interfaces using silicon nanophotonics. Nat. Photonics 10, 406–414 (2016).

    ADS  CAS  Article  Google Scholar 

  30. Lu, X. et al. Efficient telecom-to-visible spectral translation through ultralow power nonlinear nanophotonics. Nat. Photonics 13, 593–601 (2019).

    ADS  CAS  Article  Google Scholar 

  31. Hausmann, B. J. M., Bulu, I., Venkataraman, V., Deotare, P. & Lončar, M. Diamond nonlinear photonics. Nat. Photonics 8, 369–374 (2014).

    ADS  CAS  Article  Google Scholar 

  32. Jung, H. et al. Tantala Kerr-nonlinear integrated photonics. Preprint at (2020).

  33. Guidry, M. A. et al. Optical parametric oscillation in silicon carbide nanophotonics. Optica 7, 1139–1142 (2020).

    ADS  CAS  Article  Google Scholar 

  34. Pu, M., Ottaviano, L., Semenova, E. & Yvind, K. Efficient frequency comb generation in AlGaAs-on-insulator. Optica 3, 823–826 (2016).

    ADS  CAS  Article  Google Scholar 

  35. Chang, L. et al. Ultra-efficient frequency comb generation in AlGaAs-on-insulator microresonators. Nat. Commun. 11, 1331 (2020).

    ADS  CAS  PubMed  PubMed Central  Article  Google Scholar 

  36. Wilson, D. J. et al. Integrated gallium phosphide nonlinear photonics. Nat. Photonics 14, 57–62 (2020).

    ADS  CAS  Article  Google Scholar 

  37. Wang, C. et al. Integrated lithium niobate electro-optic modulators operating at CMOS-compatible voltages. Nature 562, 101–104 (2018).

    ADS  CAS  PubMed  Article  Google Scholar 

  38. Zhang, M. et al. Broadband electro-optic frequency comb generation in a lithium niobate microring resonator. Nature 568, 373–377 (2019).

    ADS  CAS  PubMed  Article  Google Scholar 

  39. He, Y. et al. Self-starting bi-chromatic LiNbO3 soliton microcomb. Optica 6, 1138–1144 (2019).

    ADS  CAS  Article  Google Scholar 

  40. Fang, Z. et al. Efficient electro-optical tuning of an optical frequency microcomb on a monolithically integrated high-Q lithium niobate microdisk. Opt. Lett. 44, 5953–5956 (2019).

    ADS  CAS  PubMed  Article  Google Scholar 

  41. Jung, H., Fong, K. Y., Xiong, C. & Tang, H. X. Electrical tuning and switching of an optical frequency comb generated in aluminum nitride microring resonators. Opt. Lett. 39, 84–87 (2014).

    ADS  CAS  PubMed  Article  Google Scholar 

  42. Guo, X., Zou, C.-L. & Tang, H. X. Second-harmonic generation in aluminum nitride microrings with 2500%/W conversion efficiency. Optica 3, 1126–1131 (2016).

    ADS  CAS  Article  Google Scholar 

  43. Liu, X. et al. Integrated high-Q crystalline AlN microresonators for broadband Kerr and Raman frequency combs. ACS Photonics 5, 1943–1950 (2018).

    CAS  Article  Google Scholar 

  44. Moss, D. J., Morandotti, R., Gaeta, A. L. & Lipson, M. New CMOS-compatible platforms based on silicon nitride and Hydex for nonlinear optics. Nat. Photonics 7, 597–607 (2013).

    ADS  CAS  Article  Google Scholar 

  45. Brasch, V., Chen, Q.F., Schiller, S. & Kippenberg, T.J. Radiation hardness of high-Q silicon nitride microresonators for space compatible integrated optics. Opt. Express 22, 30786–30794 (2014).

  46. Gyger, F. et al. Observation of stimulated Brillouin scattering in silicon nitride integrated waveguides. Phys. Rev. Lett. 124, 013902 (2020).

    ADS  CAS  PubMed  Article  Google Scholar 

  47. Brasch, V. et al. Photonic chip–based optical frequency comb using soliton Cherenkov radiation. Science 351, 357–360 (2016).

  48. Kovach, A. et al. Emerging material systems for integrated optical Kerr frequency combs. Adv. Opt. Photonics 12, 135–222 (2020).

    ADS  Article  Google Scholar 

  49. Spencer, D. T., Bauters, J. F., Heck, M. J. R. & Bowers, J. E. Integrated waveguide coupled Si3N4 resonators in the ultrahigh-Q regime. Optica 1, 153–157 (2014).

    ADS  CAS  Article  Google Scholar 

  50. Gundavarapu, S. et al. Sub-hertz fundamental linewidth photonic integrated Brillouin laser. Nat. Photonics 13, 60–67 (2019).

    ADS  CAS  Article  Google Scholar 

  51. Bauters, J. F. et al. Planar waveguides with less than 0.1 dB/m propagation loss fabricated with wafer bonding. Opt. Express 19, 24090–24101 (2011).

    ADS  CAS  PubMed  Article  Google Scholar 

  52. Guo, H. et al. Nanophotonic supercontinuum-based mid-infrared dual-comb spectroscopy. Optica7, 1181–1188 (2020).

  53. Baumann, E. et al. Dual-comb spectroscopy with tailored spectral broadening in Si3N4 nanophotonics. Opt. Express 27, 11869–11876 (2019).

  54. Selvaraja, S. K. et al. Highly uniform and low-loss passive silicon photonics devices using a 300mm CMOS platform. In Optical Fiber Communication Conference, OSA Technical Digest (online), paper Th2A.33 (Optical Society of America, 2014)

  55. Ciminelli, C., Dell’Olio, F., Armenise, M. N., Soares, F. M. & Passenberg, W. High performance InP ring resonator for new generation monolithically integrated optical gyroscopes. Opt. Express 21, 556–564 (2013).

    ADS  CAS  PubMed  Article  Google Scholar 

  56. Foster, M. A. et al. Broad-band optical parametric gain on a silicon photonic chip. Nature 441, 960–963 (2006).

    ADS  CAS  PubMed  Article  Google Scholar 

  57. Kuyken, B. et al. 50 dB parametric on-chip gain in silicon photonic wires. Opt. Lett. 36, 4401–4403 (2011).

    ADS  CAS  PubMed  Article  Google Scholar 

  58. Ooi, K. J. A. et al. Pushing the limits of CMOS optical parametric amplifiers with USRN:Si7N3 above the two-photon absorption edge. Nat. Commun. 8, 13878 (2017).

    ADS  CAS  PubMed  PubMed Central  Article  Google Scholar 

  59. Yang, M. et al. An octave-spanning optical parametric amplifier based on a low-dispersion silicon-rich nitride waveguide. IEEE J. Sel. Top. Quantum Electron. 24, 1–7 (2018).

    ADS  Google Scholar 

  60. Xin, M. et al. Optical frequency synthesizer with an integrated erbium tunable laser. Light: Sci. Appl. 8, 122 (2019).

    ADS  CAS  Article  Google Scholar 

  61. Pfeiffer, M. H. P. et al. Photonic Damascene process for low-loss, high-confinement silicon nitride waveguides. IEEE J. Sel. Top. Quantum Electron. 24, 1–11 (2018).

    Article  Google Scholar 

  62. Wu, K. & Poon, A. W. Stress-released Si3N4 fabrication process for dispersion-engineered integrated silicon photonics. Opt. Express 28, 17708–17722 (2020).

    ADS  PubMed  Article  Google Scholar 

  63. Pfeiffer, M. H. P. et al. Ultra-smooth silicon nitride waveguides based on the Damascene reflow process: fabrication and loss origins. Optica 5, 884–892 (2018).

    ADS  CAS  Article  Google Scholar 

  64. Liu, J. et al. Monolithic piezoelectric control of soliton microcombs. Nature 583, 385–390 (2020).

    ADS  CAS  PubMed  Article  Google Scholar 

  65. Tian, H. et al. Hybrid integrated photonics using bulk acoustic resonators. Nat. Commun. 11, 3073 (2020).

    ADS  CAS  PubMed  PubMed Central  Article  Google Scholar 

  66. Churaev, M. et al. Hybrid Si3N4-LiNbO3 integrated platform for electro-optic conversion. In Conference on Lasers and Electro-Optics, STh1F.3 (Optical Society of America, 2020)

  67. He, J. et al. Low-Loss Integrated Nanophotonic Circuits with Layered Semiconductor Materials, Nano Letters.

  68. Luke, K., Okawachi, Y., Lamont, M. R. E., Gaeta, A. L. & Lipson, M. Broadband mid-infrared frequency comb generation in a Si3N4 microresonator. Opt. Lett. 40, 4823–4826 (2015).

    ADS  CAS  PubMed  Article  Google Scholar 

  69. Poon, J. K. S., Scheuer, J., Xu, Y. & Yariv, A. Designing coupled-resonator optical waveguide delay lines. J. Opt. Soc. Am. B 21, 1665–1673 (2004).

    ADS  CAS  Article  Google Scholar 

  70. Cardenas, J. et al. Wide-bandwidth continuously tunable optical delay line using silicon microring resonators. Opt. Express 18, 26525–26534 (2010).

    ADS  CAS  PubMed  Article  Google Scholar 

  71. Del’Haye, P., Arcizet, O., Gorodetsky, M. L., Holzwarth, R. & Kippenberg, T. J. Frequency comb assisted diode laser spectroscopy for measurement of microcavity dispersion. Nat. Photonics 3, 529–533 (2009).

    ADS  Article  CAS  Google Scholar 

  72. Liu, J. et al. Photonic microwave generation in the X- and K-band using integrated soliton microcombs. Nat. Photonics 14, 486–491 (2020).

    CAS  Article  Google Scholar 

  73. Li, J., Lee, H., Yang, K. Y. & Vahala, K. J. Sideband spectroscopy and dispersion measurement in microcavities. Opt. Express 20, 26337–26344 (2012).

    ADS  PubMed  Article  Google Scholar 

  74. Lee, H., Chen, T., Li, J., Painter, O. & Vahala, K. J. Ultra-low-loss optical delay line on a silicon chip. Nat. Commun. 3, 867 (2012).

    ADS  PubMed  Article  CAS  Google Scholar 

  75. Ji, X. et al. On-chip tunable photonic delay line. APL Photonics 4, 090803 (2019).

    ADS  Article  CAS  Google Scholar 

  76. Griffith, A., Cardenas, J., Poitras, C. B. & Lipson, M. High quality factor and high confinement silicon resonators using etchless process. Opt. Express 20, 21341–21345 (2012).

    ADS  CAS  PubMed  Article  Google Scholar 

  77. Kim, D. G. et al. Universal light-guiding geometry for on-chip resonators having extremely high Q-factor. Nat Commun 11, 5933 (2020).

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  78. Huang, G. et al. Thermorefractive noise in silicon-nitride microresonators. Phys. Rev. A 99, 061801 (2019).

    ADS  CAS  Article  Google Scholar 

  79. Wójtewicz, S. et al. Response of an optical cavity to phase-controlled incomplete power switching of nearly resonant incident light. Opt. Express 26, 5644–5654 (2018).

    ADS  PubMed  Article  Google Scholar 

  80. Arbabi, A. & Goddard, L. L. Measurements of the refractive indices and thermo-optic coefficients of Si3N4 and SiOx using microring resonances. Opt. Lett. 38, 3878–3881 (2013).

    ADS  CAS  PubMed  Article  Google Scholar 

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The authors thank Qi-Fan Yang, Maodong Gao, and Kerry Vahala for the critical suggestion to the data analysis of thermal response. We thank Bahareh Ghadiani for the assistance in the fabrication process development in the early stage. This work was supported by Contract HR0011-15-C-055 (DODOS) from the Defense Advanced Research Projects Agency (DARPA), Microsystems Technology Office (MTO), by the Air Force Office of Scientific Research, Air Force Materiel Command, USAF under Award No. FA9550-15-1-0250, and by Swiss National Science Foundation under grant agreement No. 176563 (BRIDGE). G.H. and N.J.E. acknowledge support from the Swiss National Science Foundation under grant no. 185870 (Ambizione). The Si3N4 microresonator samples were fabricated in the EPFL center of MicroNanoTechnology (CMi).

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J.L. developed the fabrication process with the assistance from R.N.W. J.L. and R.N.W. fabricated the Si3N4 samples. J.H., J.L., G.H., A.S.R., T.L., and N.J.E characterized the samples and analyzed the data. G.H., N.J.E., and J.L. performed the microresonator response measurement and analyzed the data. J.L., G.H., and T.J.K. wrote the manuscript, with the input from others. T.J.K. supervised the project.

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Correspondence to Tobias J. Kippenberg.

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Liu, J., Huang, G., Wang, R.N. et al. High-yield, wafer-scale fabrication of ultralow-loss, dispersion-engineered silicon nitride photonic circuits. Nat Commun 12, 2236 (2021).

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