CMOS-compatible processing and room-temperature characterization on wafer-level for scalable quantum computing
S. J. K. Lang, T. Mayer, J. Weber, C. Dhieb, I. Eisele, W. Lerch, Z. Luo, C. Moran Guizan, E. Music, L. Sturm-Rogon, D. Zahn, R. N. Pereira, C. Kutter
TL;DR
This work addresses the scalability bottleneck of superconducting qubits by demonstrating CMOS-compatible fabrication on a 200 mm wafer and wafer-scale room-temperature characterization that predicts cryogenic qubit performance. The authors integrate an industry-grade fabrication flow with a process-control monitoring array (test junctions and shorts) and apply the Ambegaokar-Baratoff model to relate RT resistance to qubit frequency, achieving a functional-device yield of $Y_R=92.8\%$ and guiding pre-selection before cooldown. Cryogenic tests on 40 qubits across the wafer yield $T_1$ times up to $80\,\mu$s, $T_2^*>100\,\mu$s, and single-qubit gate fidelities $>99.6\%$, with a measured frequency spread of roughly $8.4\%$ and a Tc around $0.71$ K from RT-to-cryogenic fits. Collectively, the results demonstrate the viability of industry-style, wafer-scale qubit fabrication and rapid RT screening to enable scalable, 3D-integrated quantum processing units.
Abstract
We report on an industry-grade CMOS-compatible qubit fabrication approach using a CMOS pilot line, enabling a yield of functional devices reaching 92.8 %, with a resistance spread evaluated across the full wafer 200 mm diameter of 12.4 % and relaxation times (T1) approaching 80 us. Furthermore, we conducted a comprehensive analysis of wafer-scale room temperature (RT) characteristics collected from multiple wafers and fabrication runs, focusing on RT measurements and their correlation to low temperature qubit parameters. From defined test structures, an across-wafer Josephson junction (JJ) area variation of 10.1 % and oxide barrier variation of 7.2 % was calculated. Additionally, from the room-temperature JJ characterization the qubit frequency can be derived on wafer-level applying the Ambegaokar-Baratoff model before low temperature measurements. This sets the stage for pre-cooldown wafer-level JJ evaluation and sorting. In particular, such early-on device characterization and validation are crucial for increasing the fabrication yield and qubit frequency targeting, which currently represent major scaling challenges. Furthermore, it enables the fabrication of large multichip quantum systems in the future. Our analysis highlight the great potential of CMOS-compatible industry-style fabrication of superconducting qubits for scalable quantum computing in a foundry pilot line cleanroom.
