NSTC: Al Films Hit 0.00005 Twin-Domain Ratio on GaAs(111)A

Researchers have achieved a twin-domain ratio of 0.00005 in aluminum films grown on gallium arsenide, a level of crystalline perfection previously considered unattainable for building scalable quantum computers. The team, with findings in an unedited manuscript soon to be published in Communications Materials, utilized molecular beam epitaxy to grow the superconducting aluminum films on GaAs(111)A wafers, resulting in a level of structural control exceeding that of any other existing method. Synchrotron X-ray diffraction revealed this record-low twin-domain ratio for a 19.4-nanometer film, alongside a 0.55° full width at half maximum in azimuthal scans of the Al{11̄1} reflections. This advancement, supported by the National Science and Technology Council through grant No. NSTC 114-2112-M-002-027-, establishes a new materials platform for high-coherence superconducting qubits, bringing more robust quantum circuits closer to realization.

Molecular Beam Epitaxy Growth of Near-Single-Domain Aluminum on GaAs(111)A

Researchers at National Taiwan University and collaborating institutions report reproducibly growing these films using molecular beam epitaxy, a technique allowing precise control over material deposition at the atomic level. This control is critical because twin boundaries within the aluminum structure act as decoherence channels, limiting the performance of superconducting qubits. The crystalline quality extends beyond simply minimizing twin domains; azimuthal scans of Al{11̄1} reflections measured a full width at half maximum (FWHM) of just 0.55°, surpassing the quality of epitaxial aluminum films created by any other growth method. Normal scans revealed a well-defined (111) orientation, evidenced by pronounced Pendellösung fringes, while θ-rocking-curve FWHM values reached 0.018°, indicating exceptionally abrupt interfaces between the film, substrate, and any oxide layers present.

Electron backscatter diffraction mapping further confirmed macroscopic in-plane uniformity and the complete absence of Σ3 twin domains, validating the structural integrity of the grown films. The team demonstrated reproducibility, achieving a twin-domain ratio of 0.0003 for 9.6-nanometer thick films and an even lower ratio of 0.00005 for 19.4-nanometer thick films. The research, currently an unedited manuscript with early access to findings, will undergo further editing before final publication. Support for this work came from the National Science and Technology Council through No. NSTC 114-2112-M-002-027-.

Aluminum is a favored material for creating superconducting qubits, but imperfections within its crystalline structure, specifically twin boundaries, introduce noise that degrades qubit performance; minimizing these defects has been a central challenge. Recent work demonstrates a reproducible method for growing aluminum films with remarkably low twin-domain ratios, a metric quantifying the prevalence of these disruptive boundaries. Synchrotron X-ray diffraction analysis revealed twin-domain ratios of 0.00005 and 0.0003 for 19.4-nanometer and 9.6-nanometer thick films, respectively, figures the team reports are the lowest ever recorded for aluminum grown on any substrate. This level of structural perfection was confirmed through multiple analytical techniques, including azimuthal scans which measured full width at half maximum (FWHM) values as low as 0.55°. Normal scans further indicated abrupt film-substrate and oxide-film interfaces, evidenced by pronounced Pendellösung fringes. The consistency of these results, achieved through molecular beam epitaxy, is significant, and support from the National Science and Technology Council (NSTC) through No. NSTC 114-2112-M-002-027- was instrumental in this work.

Stay current. See today’s quantum computing news on Quantum Zeitgeist for the latest breakthroughs in qubits, hardware, algorithms, and industry deals.
Avatar of Ivy Delaney

Ivy Delaney

We've seen the rise of AI over the last few short years with the rise of the LLM and companies such as Open AI with its ChatGPT service. Ivy has been working with Neural Networks, Machine Learning and AI since the mid nineties and talk about the latest exciting developments in the field.

Latest Posts by Ivy Delaney: