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Proceedings of the National Academy of Sciences of the United States of America logoLink to Proceedings of the National Academy of Sciences of the United States of America
. 2026 Jan 29;123(5):e2519940123. doi: 10.1073/pnas.2519940123

Tantalum alloy–based resonators for quantum information systems

Chen Yang a,1, Faranak Bahrami a,1, Guangming Cheng b, Mayer Feldman a, Tiffany Liu a, Nana Shumiya a, Nan Yao b, Stephen A Lyon a, Andrew A Houck a, Nathalie P de Leon a, Robert J Cava c,2
PMCID: PMC12867682  PMID: 41609685

Significance

Superconducting circuits are foundational to quantum computing, and optimizing their materials is crucial for advancing device performance. This work demonstrates that alloying tantalum with hafnium significantly enhances the superconducting gap, up to 40% compared to pure tantalum, without increasing microwave loss. By engineering the alloy composition and film deposition, the study achieves both improved superconducting properties and compatibility with fabrication processes. These findings show that material doping and alloying can strategically expand the suite of viable materials for superconducting quantum devices. This approach provides a pathway for tailoring material properties to support the next generation of quantum technologies and offers broad relevance to researchers in materials science, quantum information, and device engineering.

Keywords: superconducting gap engineering, superconducting qubit, Ta-Hf alloy thin films

Abstract

Utilizing tantalum (Ta) in superconducting circuits has led to significant improvements, such as high qubit lifetime (T1) and quality factors in both qubits and resonators, suggesting that material optimization plays an important role in the development of superconducting circuits. Thus we here explore superconducting gap engineering in Ta-based devices as a powerful strategy for expanding the range of suitable host materials. By alloying 20 atomic percent (at.%) hafnium into Ta thin films, we achieve a superconducting transition temperature (Tc) of 6.09 K as observed in direct current (DC) transport measurements, reflecting an increase in the superconducting gap. We systematically vary deposition conditions to control film orientation and transport properties of Ta-Hf alloy thin films. We then confirm the enhancement in Tc via microwave measurements at millikelvin temperatures. We verify the ∼40% increase in Tc relative to bare Ta devices, while the loss contributions from two-level systems and quasi-particles remain unchanged in the low temperature regime. These findings emphasize the promise of material engineering in superconducting circuits and point to many potential material candidates for further exploration.


Superconducting qubits are among the most advanced platforms for quantum information, offering potential scalability and compatibility with standard device fabrication techniques (1, 2). These systems have enabled key advances across a broad range of applications, including quantum computation (3–6), quantum simulation (7–11), and quantum error correction (12–15). Among the materials investigated for superconducting qubits, Ta has emerged as a compelling candidate due to its self-terminating stoichiometric surface oxide and chemical resistance to harsh postfabrication processes (16–21). The surface forms a chemically stable stoichiometric Ta2O5 layer and is amenable to controlled thinning through surface treatments (22, 23). These advantages allow body-centered cubic (BCC) α-phase Ta to exhibit improved microwave performance under material optimization, and further advances in Ta-based qubit performance have indeed been closely tied to ongoing progress in material engineering (17, 24–26). Buffered oxide etch (BOE) removes surface oxides and increases the quality factor, Qint (23), and noble-metal encapsulation deposited immediately after sputtering suppresses the stoichiometric oxide in Ta thin films (27, 28). Recently, efforts to mitigate surface loss by treating the surface oxides and utilizing high-resistivity silicon substrates have led to Ta-based qubits with lifetime and coherence times exceeding 1 ms (17, 22, 23). Guided by these successes in reducing dielectric loss in Ta-based devices, we aim to explore material engineering approaches that enhance the superconducting gap.

Alloying Ta with another element to enhance the superconducting performance expands the range of viable material candidates available to tackle different loss channels in superconducting circuits. Prior efforts have explored alloying Ta with elements such as nitrogen (N) and hafnium (Hf). Tantalum nitride (TaN) has attracted interest since it potentially leads to an oxygen-free surface (27, 29–39). More recently, bulk studies have shown that doping Ta with 20 at.% Hf can raise the Tc to approximately 6.3 K. However, the growth and properties of Ta-Hf thin films in the context of superconducting qubits remain unexplored (40).

Here, we present the superconducting gap enhancement relatively to both Ta and Hf while preserving the BCC phase of Ta, thereby increasing superconducting gap without compromising cubic structure in TaHf alloy thin film (16, 40, 41). We introduce this strategy for gap engineering in superconducting devices as an effective strategy, dual-metal alloying, to understand losses from nonequilibrium QPs, which are one of dominant decoherence mechanisms in superconducting resonators (23, 42–46). Additionally, Hf’s 5d2 configuration makes it more electropositive, favoring the formation of fewer intermediate suboxides besides stoichiometric oxide (47). Although elemental Hf is chemically less robust, alloying it into Ta produces stable films suitable for fabrication.

Our structural analysis using X-ray diffraction (XRD) and scanning transmission electron microscopy (STEM) (SIAppendix, Fig. S4) verifies the BCC structure across all the films, and direct current (DC) transport measurements reveal a 40% enhancement in Tc relative to undoped α-Ta (Tc=4.3 K) (48). Surface characterization, including atomic force microscopy (AFM) and X-ray photoelectron spectroscopy (XPS), was employed to assess surface morphology and native oxide chemistry. AFM (SI Appendix, Fig. S6) and STEM (SI Appendix, Fig. S4) analyses further supported the dominant film orientation revealed by XRD. To evaluate microwave performance, coplanar waveguide (CPW) resonators were fabricated from a representative alloy film and measured at millikelvin temperatures (SI Appendix, Device Fabrication). The resonators exhibited Qint comparable to that of undoped α-Ta films, indicating that the microwave loss due to TLSs remains unchanged. Notably, a higher superconducting gap is observed during microwave measurements, as evidenced by the increased activation temperature (Tact)—the extracted critical temperature from microwave model (23), which is in agreement with DC transport. In terms of chemical resistance, the surface oxides protect the underneath alloy against aggressive acid treatment such as piranha (2:1 sulfuric acid to hydrogen peroxide) when removing hydrocarbon contamination on the surface (23, 49), while incorporation of Hf reduced the robustness of Ta against BOE as a trade-off.

Although Ta-Hf alloy thin films still require further optimization for surface oxide treatments, the untreated Ta-Hf films exhibit an enhanced superconducting gap and microwave performance comparable to native Ta, with no additional loss due to TLSs and QPs compared to α-Ta. This study highlights the utility of alloying strategies for selectively tuning material properties relevant to superconducting circuits.

Superconducting Gap Engineering

Control over film growth parameters is essential to tailor structural and superconducting characteristics for thin films (SI Appendix, Film Deposition). In this work, Ta-Hf alloy thin films were grown via DC magnetron sputtering using a custom alloy target with a nominal composition of Ta (80 at.%) and Hf (20 at.%). We verified the resulting film composition to be approximately 83:17 Ta:Hf using cross-sectional TEM with energy-dispersive X-ray spectroscopy (EDS) accounting for the different sputtering yields of Ta and Hf. More importantly, the bulk film exhibits a good homogeneity in TEM/EDS (SI Appendix, Fig. S10C). The surface composition fitted by XPS show a ratio of 78:22. The discrepancy between the surface chemistry ratios from TEM/EDS and XPS is attributed to redeposition during the TEM sample preparation. The alloy film growth rate is 0.25 nm/s, and the deposition duration is used to control both thickness and crystalline orientation. The film thicknesses for 1 ks and 2 ks depositions are estimated to be 250 nm and 470 nm, respectively. Furthermore, extended deposition duration leads to a predominantly (110) orientation in the films (Table 1). The electronic transport quality of the films is evaluated using the residual resistivity ratio (RRR), defined as the resistivity at 300 K divided by that at 6 K. RRR quantitatively reflects lattice disorder; a higher RRR value corresponds to fewer defects such as smaller grain sizes in the film. Compared to clean-limit α-Ta films, which exhibit an average RRR of ∼49 and dirty-limit α-Ta films with an average RRR of ∼9.7, our Ta-Hf films fall into the dirty-limit regime with 2 ks films show higher density of defects (48). The reduction in RRR of alloy films compared to clean-limit Ta films is attributed to doping disorder and lattice mismatch introduced by Hf doping rather than impurities or β-Ta inclusions. Our structural analysis shows that films with higher RRR values tend to adopt an out-of-plane (222) orientation, corresponding to a dominant (222) reflection in the XRD pattern due to the BCC crystal symmetry, while films with smaller RRR values display mixed (110) and (222) orientations or are dominated by (110) plane (Fig. 1 B and D and Table 1).

Table 1.

Fitted parameters of XRD peaks belonging to Ta-Hf alloy 1 ks thin films in Fig. 1A

Sputtering (110) Peak (222) Peak
temp. (°C) Location (°) FWHM (°) Normalized intensity Location (°) FWHM (°) Normalized intensity Lattice constant (Å)
550 37.95 0.371 0.307 ± 0.007 106.91 0.851 ± 0.015 0.15 3.321
650 38.36 0.415 0.328 ± 0.005 107.00 0.731 ± 0.016 0.49 3.324
750 N/A N/A N/A 107.08 0.725 ± 0.017 0.50 3.315
850 38.40 0.814 0.589 ± 0.007 N/A N/A N/A 3.304

Values are relative to the substrate peak at 2θ≈90°.

Fig. 1.

Micrograph shows four panels labeled O, T a, H f, and O from left to right, each showing a different element distribution within a material sample.

Structural and DC transport characterizations. (A) XRD patterns of Ta-Hf alloy thin films sputtered at varying deposition temperatures and coating durations; (red tones) shows data from films coated for 1,000 s (1 ks films). (B) Zero-field cooling DC resistivity of the films in (A) plotted as a function of temperature under zero applied magnetic field; color mapping matches the corresponding deposition conditions and durations used in (A), illustrating how Tc and residual resistivity vary with growth conditions. (C) XRD patterns (blue tones) corresponds to films coated for 2,000 s (2 ks films). Within each XRD panel, the darkest to lightest traces represent films deposited at 850 °C, 750 °C, 650 °C, and 550 °C, respectively. The dashed vertical lines indicate the expected peak positions for the (110) and (222) orientations, serving as a reference for identifying crystallographic orientation. A zoomed-in plot of the (110) and (222) peaks of (A and C) are presented in SI Appendix, Fig. S1. The XRD patterns for each deposition are shifted along the Y-axis for clear display. (D) Zero-field cooling DC resistivity of the films in (C) plotted as a function of temperature under zero applied magnetic field. Color mapping in (B and D) matches the corresponding deposition conditions and durations used in (A and C), illustrating how Tc and residual resistivity vary with growth conditions.

Similar to the correlation between the thin film orientation and the RRR values from DC transport measurements, the structural evolution of Ta-Hf thin films also influences their Tc. Across all samples, Tc values range between 6.09±0.13 K (Table 2). Films exhibit slightly lower Tc as the deposition temperature is increasing. XRD analysis revealed that the full width at half maximum (FWHM) of the (222) peak decreased from 550 °C to 750 °C, indicating better crystallinity. However, at 850 °C, the structural peak broadened, suggesting a degradation in structural quality at higher temperatures. This trend suggests 750 °C as the optimum deposition temperature for achieving high crystallinity, supported by the DC transport results (Table 2). These observations are mostly valid for films deposited over 1,000 s (1 ks films), while the trend for films deposited over 2,000 s (2 ks films) suggests a similar level of disorder for different deposition temperatures.

Table 2.

Fitted parameters for resistivity measurements of Ta-Hf alloy thin films with different coating times and sputtering temperatures

Coating time (s) Sputtering temperature (°C) Tc (K) RRR Residual resistivity (μΩ·cm) Lattice mismatch%
1,000 550 6.17 ± 0.01 1.55 ± 0.01 36.61 ± 0.01 1.31
650 6.20 ± 0.01 2.31 ± 0.06 21.72 ± 0.37 1.22
750 6.02 ± 0.01 1.91 ± 0.01 14.48 ± 0.01 1.50
850 5.84 ± 0.01 1.75 ± 0.01 28.85 ± 0.08 1.85
2,000 550 6.21 ± 0.01 1.67 ± 0.01 32.55 ± 0.01 1.10
650 6.18 ± 0.01 1.59 ± 0.01 23.64 ± 0.01 1.26
750 6.06 ± 0.01 1.83 ± 0.01 20.88 ± 0.01 1.94
850 6.00 ± 0.01 2.06 ± 0.01 20.89 ± 0.01 1.67

Residual resistivity (ρ) and RRR are estimated from full-range ρ vs. T measurements. The error in Tc is defined as the data point collection increment measured by PPMS.

The interplay between structural variation and superconducting properties in Ta-Hf films is further influenced by lattice disorder and lattice mismatching. The lattice disorder within Ta-Hf alloy thin films is a result of the Hf doping. Hf has a larger atomic radius (∼159 pm) compared to Ta (∼149 pm), thus Hf doping expands the crystal lattice for all samples, which is confirmed by peaks shifting to lower 2θ angles in XRD (Fig. 1 A and C and Table 1). This intrinsic mismatch brought the residual resistivity (ρ(μΩ·cm)) of the Ta-Hf alloy thin films to nearly five times that of the dirty-limit Ta films (Fig. 1 B and D and Table 2) (48). Furthermore, deposition conditions lead to lattice mismatch between the film and the substrate. XRD and STEM analyses reveal that the average lattice mismatch between the Ta-Hf alloy thin films and the sapphire substrate is approximately 1.47% for the 1 ks films and 1.49% for the 2 ks films (Table 2). The 2 ks film we selected for resonators measurements has a lattice mismatch of 1.94%, which is similar to the 1.9% mismatch of dirty-limit Ta films. On the other hand, the 1 ks film selected has a mismatch of 1.50% which is similar to clean-limit Ta films, suggesting the 1 ks film host fewer defects compared to 2 ks film (48). Both lattice disorder and lattice mismatch contribute to increased residual resistivity and decreased RRR, emphasizing the critical role of lattice compatibility in optimizing transport properties (39).

Parameterizing Microwave Losses

In superconducting microwave resonators, energy dissipation arises primarily from TLSs, QPs, trapped vortices, and power- and temperature-independent loss (Qother) (23, 48). TLSs are microscopic defects, located in amorphous dielectrics or at material interfaces in the resonators. These defects are particularly influential at low temperatures and single-photon microwave power, where they act as the dominant source of loss. The loss due to QPs becomes dominant at elevated temperatures and leads to an exponential decay in internal quality factor (Qint) at higher temperatures (>0.5 K). The slope of this decay is directly influenced by the superconducting gap.

We investigate the microwave loss behavior in the Ta-Hf thin films by measuring CPW resonators fabricated from this alloy, deposited at 750 °C for 1,000 and 2,000 s. By conducting microwave measurements across varying temperatures and microwave powers, we aim to evaluate different loss behaviors (e.g., TLSs, QPs, and vortices) compared to the bare Ta devices. Our findings reveal that at base temperature (T∼20mK), Qint increases with rising microwave power, indicative of loss from saturable TLSs. At base temperature, Qint spans from approximately 1×106 at the lowest drive power to 4×107 at the highest; a similar range of Qint is observed in the Ta devices (Fig. 2A). Although the low and mid-temperature range shows similar behavior for both Ta-Hf and Ta devices (23), the activation temperature due to QPs is demonstrably increased in Ta-Hf resonators, suggesting that the superconducting gap is enhanced. Across seven measured resonators, the extracted Tact for Ta-Hf resonators exhibit a mean-value of 5.92±0.24 K for 2 ks film, consistent with DC transport measurements (Fig. 1D and Table 2). For the 1 ks film resonators, the extracted Tact of 4.40±0.46 K is lower than the value obtained from DC transport measurements (6.09±0.13 K) (Fig. 1B). This discrepancy is attributed to vortex-motion-induced losses, which are more apparent in the 1 ks film due to its relatively lower lattice mismatch and larger grain sizes. The structural characteristics revealed by SEM and AFM analyses indicate larger grain sizes (SI Appendix, Fig. S10), thereby enabling more vortex motion during microwave measurements compared to 2 ks film resonators. Similar behavior is observed for Ta films with different defect densities (48). We confirm that the loss due to the QPs remains comparable to the Ta devices while the Tc is increased by 40% (SI Appendix, Fig. S5) (23, 48). To quantitatively assess TLS-induced losses in the Ta-Hf films, we extracted the inverse linear absorption from TLSs, (QTLS,0), and extracted the surface loss for measured Ta-Hf resonators. The combined surface loss tangent (tanδ) for the Ta-Hf alloy is (15.4±1.3)×10−4, which within the uncertainty overlaps the surface loss tangent of (15.9±0.7)×10−4 measured for native Ta (Fig. 2B) (23). The trend agrees well with reference data from native Ta resonators (23), indicating that Hf incorporation does not introduce additional TLS loss and suggesting that alloying with Hf preserves dielectric performance.

Fig. 2.

Multi-figure with line graphs. A and C show normalized intensity vs. two theta in degrees. B and D show rho in micro ohm centimeter vs. T in Kelvin.

Microwave losses in Ta-Hf resonators. (A) Temperature dependence of the internal quality factor (Qint) measured at various microwave powers for a CPW resonator with gap width of 10 μm made of 2 ks Ta-Hf film. At low temperatures and low powers, Qint is limited by saturable TLSs and rises with increasing power. At higher temperatures, an exponential decay in Qint indicates increasing losses from thermally activated QPs. The extracted Tact for Ta-Hf 1 ks and 2 ks resonators show mean-values of 4.40±0.46 and 5.92±0.24 K, respectively. They confirm the enhancement in the superconducting gap. The design used for CPW device is identical to ref. 23. (B) Extracted QTLS,0 for fourteen Ta-Hf resonators plotted as a function of surface participation ratio (pMS) (darker blue for 2 ks resonators and lighter blue for 1 ks resonators). The extracted surface loss tangent for Ta-Hf (blue dashed line) and Ta (orange dashed line, ref. 23) are (15.4±1.3)×10−4 and (15.9±0.7)×10−4, respectively. The shaded areas correspond to the uncertainties in the surface loss tangents.

These results confirm that the dominant low-temperature dissipation in the Ta-Hf alloy resonators originates from saturable TLSs, and that Hf doping does not compromise the microwave performance at conditions relevant to qubit performance. However, its weak chemical resistance to BOE limits further improvements in the surface oxide treatments for these devices (SI Appendix, Fig. S7).

Surface Oxide Chemistry in the Ta-Hf Alloy

To further investigate the dielectric loss limiting the performance of Ta-Hf alloys relative to native Ta, we employ XPS to characterize the surface oxide in our Ta-Hf thin films (SI Appendix, XPS Analysis). Core-level spectra were collected for the Ta and Hf 4f electrons to identify the chemical states present on the film surface (Fig. 3). For Ta, the metallic doublets appear in the 20 to 24 eV range and the Ta5+ doublets are observed between 25 to 29 eV, which align with those reported for native Ta (Fig. 3A) (22, 50, 51). Suboxides of Ta, specifically Ta7/21+ and Ta7/23+, are fitted at 23 eV and 24 eV, respectively, which fall within the reported suboxides’ peak range in native Ta. Hf oxides are analyzed similarly, although distinguishing individual suboxides is more challenging. The energy separation between the 4f peaks for common Hf suboxides, such as Hf2+ and Hf3+, is less than 0.5 eV, making them difficult to resolve given the typical instrumental resolution of 0.1 to 0.2 eV. Therefore, we refined the Hf spectra using broader peaks attributed to fully oxidized HfO2 and a less-defined HfOx state, following established Hf XPS analyses (Fig. 3C) (52, 53). Reported literature finds the Hf7/24+ peak between 16 to 18 eV, while HfOx peaks appear around 14 to 16 eV, depending on the local chemical environment, with spin–orbit splitting values typically around 1.7±0.3 eV. Our fitted Hf4f7/2 between 16 to 18 eV align well with these reported values, as does the range for Hfsuboxides7/2 between 14 to 16 eV (54) (Fig. 3C). Additional spectral shifts are observed due to different material interfaces. The Ta metal-oxide interface causes a shift in the Ta metallic doublets by approximately 0.4 eV, consistent with prior reports for native Ta films (22). For Hf, a similar metal-oxide interfacial component (Hfint) is shifted by 0.7 eV relative to the bulk metal peak (52, 54, 55).

Fig. 3.

A two-part figure. Part A, Q sub int vs. T in Kelvin. Part B, Q sub T L S,0 vs. surface participation ratio. Both parts show increasing trends.

Surface oxide evaluation over 18 d of exposure to ambient. (A) Ta binding energy spectra from XPS measurements. (B) Atomic percentages of each Ta oxide species and the interface layer for samples measured over 18 d. (C) Hf binding energy spectra from XPS measurements. (D) Atomic percentages of each Hf oxide species for samples measured over 18 d. Both metallic and oxidation states exhibit a pair of peaks due to spin-orbit splitting. The metallic peaks show a sharp asymmetric shape, while the oxide peaks are modeled with Gaussian profile doublets. The metallic doublet peaks (red) are located at 11 to 14 eV and 20 to 24 eV for Hf and Ta, respectively. The x-axis in (B and D) refers to the time variation from the deposition date. The uncertainties are the SD of the fit. The legend in panel (B) corresponds to both (A and B), and the legend in panel (D) corresponds to both (C and D). The oxide fraction trace for the 1 ks alloy film resonators treated with piranha solution is shown in panels (B and D) as orange cross markers. The close overlap indicates that piranha treatment does not alter the surface chemistry. The resonators are fabricated under conditions of oxide saturation of both Ta2O5 and HfO2. The marker sizes are bigger than error bars. We present the XPS spectra of day 0 and 18 for Ta and Hf in SI Appendix, Fig. S8.

We monitored oxide growth over an 18-d period following film deposition to better understand how Hf incorporation influences surface oxides. In both Ta and Hf spectra, the fraction of fully oxidized (Ta2O5 and HfO2) states gradually increased during the 18-d exposure, indicating progressive surface oxidation (Fig. 3 B and D). To estimate the surface oxide thickness, we use cross-sectional TEM/EDS mapping (Fig. 4 and SI Appendix, Fig. S10). The analysis reveals that the oxide thickness for the 1 ks Ta-Hf alloy film is approximately 3 nm thick (SI Appendix, Fig. S10), comparable to the ∼3 nm oxide observed on native Ta (22). For the 2 ks Ta-Hf film, the oxide thickness increases slightly to about 4 nm (Fig. 4). The measured surface loss tangent of the Ta-Hf alloy remains comparable to that of native Ta. This result suggests that the surface oxide of the Ta-Hf alloy, which contains a measurable fraction of HfOx, does not introduce additional dielectric loss.

Fig. 4.

Four panel graph shows surface oxide evaluation over 18 days. A and C show intensity vs. binding energy. B and D show oxide fraction vs. days.

Cross-sectional EDS elemental mapping on Ta-Hf. Cross-sectional EDS mapping Ta (blue) and Hf (orange) confirmed a uniform Ta-Hf alloy with the Ta to Hf atomic ratios for the bulk to be (83%: 17%). The oxygen (red) map reveals a surface oxide layer with the estimated surface oxide thickness of around 4 nm. The 1 ks Ta-Hf film exhibits an oxide thickness of approximately 3 nm, similar to that of native Ta (SI Appendix, Fig. S10). The EDS resolution limit is 0.5 atomic percent.

Conclusion

We demonstrate that the superconducting gap of Ta-based thin films can successfully be increased through alloying with Hf, achieving higher Tc (6.09±0.13) without introducing additional microwave losses attributable to TLSs or QPs. Despite the alloy has a fraction of HfOx and increased surface roughness in the sidewalls of resonators, the microwave loss remains comparable to native Ta devices, suggesting that the Hf oxides have similar loss behavior as Ta oxides. Furthermore, Ta-Hf alloys retain both their superconductivity and microwave performance while withstanding aggressive acid treatments that typically damage pure Hf films. By tuning the superconducting gap, this alloying strategy enables suppression of QP-related losses at elevated temperatures. These findings position dual-metal alloying as a promising and underexplored pathway for designing materials that target specific loss mechanisms in superconducting circuits. Beyond identifying Hf as a useful dopant, we propose a broader materials strategy: Elements with low intrinsic Tc or poor standalone compatibility with fabrication processes may still offer desirable properties, such as favorable oxide chemistry or higher gap energy when incorporated into an alloy. Future efforts may explore other binary or ternary systems to further tailor specific material characteristics. Last, this improvement can be implemented into the high frequency/high temperature transmon qubits (44) that already operate in a temperature regime more strongly affected by the quasi-particle loss or gap engineered devices (45) where variation in the thickness is used for superconducting gap engineering.

Supplementary Material

Appendix 01 (PDF)

pnas.2519940123.sapp.pdf (12.1MB, pdf)

Acknowledgments

This material is based upon work supported by the U.S. Department of Energy, Office of Science, National Quantum Information Science Research Centers, Co-design Center for Quantum Advantage (C2QA) under contract No. DE-SC0012704. We acknowledge the use of Princeton’s Imaging and Analysis Center, which is partially supported by the Princeton Center for Complex Materials, a NSF–MRSEC program (DMR-2011750), as well as Princeton Mirco/Nano Fabrication Laboratory. Princeton University Professor Andrew Houck is also a consultant for Quantum Circuits Incorporated (QCI). Due to his income from QCI, Princeton University has a management plan in place to mitigate a potential conflict of interest that could affect the design, conduct, and reporting of this research.

Author contributions

N.P.d.L. and R.J.C. designed research; C.Y., F.B., and G.C. performed research; M.F., T.L., N.S., N.Y., S.A.L., and A.A.H. contributed new reagents/analytic tools; C.Y. and F.B. analyzed data; N.Y., S.A.L., A.A.H., N.P.d.L., and R.J.C. contributed conceptual consultation, valuable discussions, and instruments essential for this work; and C.Y., F.B., N.P.d.L., and R.J.C. wrote the paper.

Competing interests

N.P.d.L., Princeton University professor, is a visiting faculty researcher with Google Quantum AI. As a result of her income from Google, Princeton University has a management plan in place to mitigate a potential conflict of interest that could affect the design, conduct and reporting of this research. Her academic group also has a sponsored research contract with Google Quantum AI.

Footnotes

Reviewers: A.S.-N., Stanford University; and C.W., University of Massachusetts-Amherst.

Data, Materials, and Software Availability

Excel, csv, matlab, python, and dat data have been deposited in Harvard Dataverse (DOI will be provided upon publication). All other data are included in the manuscript and/or SI Appendix.

Supporting Information

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Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Appendix 01 (PDF)

pnas.2519940123.sapp.pdf (12.1MB, pdf)

Data Availability Statement

Excel, csv, matlab, python, and dat data have been deposited in Harvard Dataverse (DOI will be provided upon publication). All other data are included in the manuscript and/or SI Appendix.


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