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  3. ALD Atomic Layer Deposition Advances Quantum Computing
Quantum Computing

ALD Atomic Layer Deposition Advances Quantum Computing

Posted on November 17, 2025 by Agarapu Naveen6 min read
ALD Atomic Layer Deposition Advances Quantum Computing

The Quantum Manufacturing Revolution: How Atomic Layer Deposition Just Solved Qubit Scalability

ALD Atomic Layer Deposition

Making the chips dependable enough for industry and keeping them cool enough to work have been two major obstacles in the decades-long search for a really useful, fault-tolerant quantum computer. However, a significant discovery now holds the potential to simultaneously destroy both obstacles.

A joint research team led by Yale University’s Danqing Wang and Cornell University’s Yufeng Wu and Naomi Pieczulewski has accomplished a remarkable feat: they created superconducting qubits made entirely of nitride materials using a process known as Atomic Layer Deposition (ALD). Although ALD is currently widely used in the microprocessor industry, its use is revolutionary.

The team demonstrated an incredible range of electrical currents, achieved remarkable control over the qubits‘ properties, and most importantly maintained quantum coherence for microseconds even at relatively warm temperatures by employing this well-established, high-precision technique. This breakthrough is seen as a significant turning point that will ultimately move the superconducting quantum platform from a specialized laboratory procedure to a technology that is scalable and compatible with foundries.

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The Crisis of Colds and Defects

The present norm in order to comprehend why this is such a significant issue. Leading the way in quantum hardware, superconducting circuits are found in processors made by large corporations.

However, aluminium (Al), a material with a low superconducting critical temperature (T c) of just roughly 1 Kelvin (K), is a major component of these conventional systems. This forces engineers to chill the chips to temperatures that are close to absolute zero, usually only 10 to 20 millikelvin (mK), using strong, extremely costly, and intricate dilution refrigerators.

In addition to the extremely cold temperatures, the Josephson junction (JJ), which is at the core of every qubit, is a fabrication nightmare. Traditionally, a thin film of aluminium is oxidized to produce amorphous aluminium oxide (AlO x), which is this essential component. This oxide structure is prone to incorporating minute defects known as two-level systems (TLS) due to its non-crystalline (amorphous) nature. By absorbing energy and significantly reducing the qubit’s operating lifetime, these TLS function as decoherence sponges.

The goal of scaling quantum circuits to millions of qubits has proven challenging and unaffordable due to the AlO x barrier’s lack of homogeneity and sensitivity to flaws. A precise, industrial manufacturing procedure and a new, scalable material were desperately needed by the quantum industry.

Atomic Layer Deposition : Angstrom Precision on Demand

The careful implementation of ALD is the answer. Advanced microprocessor manufacturing already makes substantial use of ALD. Its self-limiting properties, which involve the successive introduction of gas-phase precursors that react with the surface one monolayer at a time, are its secret weapon. The holy grail of mass production, this enables angstrom-level accuracy and remarkable homogeneity across enormous silicon wafers.

Each layer of the Yale and Cornell team’s superconducting stack was deposited using ALD. They decided to use aluminium nitride (AlN) as the insulating barrier within the Josephson junction (JJ) and niobium nitride (NbN) for the superconducting electrodes. The entire fabrication process is focused on using ALD to create NbN/AlN/NbN trilayers. The researchers employed nitrogen and hydrogen as reactive gases to deposit the niobium nitride and aluminium nitride, respectively, using tert-butylimido tris(diethylamido)niobium and trimethylaluminum as particular precursors.

Crucially, they were able to avoid the troublesome, lossy, amorphous AlO x barrier by using this technique to deposit the all-nitride trilayer with exact, crystalline control. This all-nitride strategy reduces the integration of those bothersome imperfections that cause decoherence by utilising the chemical stability of nitrides and their capacity to create pure, high-quality surfaces. The two NbN layers of the trilayer structure were purposefully kept at the same thickness on every wafer to guarantee consistent performance.

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Tuning Qubits Across Seven Orders of Magnitude

The degree of control that ALD offers over the Josephson junction is the most astounding demonstration of its effectiveness in this application. The JJ’s critical current density (Jc), or the highest current it can carry before losing superconducting, is determined by the thickness of its insulating barrier. Because it determines the qubit’s operating frequency, this value is essential.

The team showed that they could tailor the critical current density over an astounding seven orders of magnitude by merely changing the number of ALD cycles utilised to create the AlN barrier layer. It is nearly impossible to achieve this enormous and reproducible tuning range in conventional quantum manufacturing. This achievement demonstrates that ALD is a superior, high-control technique that provides chip designers with an unparalleled toolkit for maximising the performance of several qubits and resonators on a big chip, rather than merely a replacement procedure. This consistency and adaptability over a whole wafer hold the potential to significantly boost manufacturing yields, which is a prerequisite for creating processors with thousands of interconnected qubits.

Performing Well at Higher Temperatures

Additionally, the selection of materials offers a significant thermodynamic benefit. The T c of NbN, a high-temperature superconductor, is substantially higher than that of aluminium at 1 K, at about 13–16 K.

Utilising this high T c material, the resultant qubits dubbed ALDmons, a kind of transmon qubit offer improved resistance to thermal and electromagnetic noise. Tested at temperatures above 300 millikelvin (mK), measurements reveal that these all-nitride ALDmons function competitively, retaining microsecond-scale relaxation times.

Operating at 300 mK is far warmer than the typical base temperature of 10–20 mK needed for large-scale computers nowadays. Future quantum processors constructed on an all-nitride platform may need less complicated, expensive, and demanding cryogenic cooling systems as a result of this warmer capability.

Additionally, in order to enhance coherence times, the AlN barrier was included. Despite the fact that AlN is known to be piezoelectric, the research shows that the material’s characteristics and the device’s design minimise any piezoelectric losses. The relaxation times of modern ALDmon devices are around 1.4 microseconds. The researchers establish that the AlN layer does not significantly affect coherence by estimating a high quality factor for the barrier. Future work will concentrate on addressing additional possible loss sources, including packaging, etching procedures, and substrate quality.

For quantum hardware engineering, the successful fabrication of all-nitride superconducting qubits made exclusively via ALD marks a turning point. The NbN/AlN/NbN material platform, which offers excellent stability and freedom from oxides that cause decoherence, is validated by it. More significantly, it establishes ALD as the preferred processing method for scalable quantum computing and offers a roadmap for quantum chip mass manufacturing. The way to a million-qubit processor has just become much more transparent and warmer.

You can also read Perlmutter Supercomputer Sets new benchmark in Quantum chip

Tags

Atomic Layer DepositionAtomic Layer Deposition (ALD)Atomic layer deposition systemQuantum ChipQuantum computingQubitssuperconducting qubits

Written by

Agarapu Naveen

Naveen is a technology journalist and editorial contributor focusing on quantum computing, cloud infrastructure, AI systems, and enterprise innovation. As an editor at Govindhtech Solutions, he specializes in analyzing breakthrough research, emerging startups, and global technology trends. His writing emphasizes the practical impact of advanced technologies on industries such as healthcare, finance, cybersecurity, and manufacturing. Naveen is committed to delivering informative and future-oriented content that bridges scientific research with industry transformation.

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