Veeco & k-Space Link MBE Growth to Qubit Integrity in Real Time

The delicate quantum states underpinning future computation are now subject to scrutiny during their very creation, as Veeco and k-Space Associates combine advanced material growth with real-time measurement. Researchers report that qubit coherence times, the duration a qubit maintains its state, are directly impacted by a previously understated sensitivity in quantum material fabrication. This collaboration moves beyond simply achieving process capability to integrating measurement into the growth process itself, prioritizing a deeper understanding of material development. “Quantum computing places extraordinary demands on materials quality, where even minor atomic-scale variations can significantly impact device performance,” said Matt Marek, Vice President of MBE Products at Veeco, emphasizing a shift toward valuing the ability to grow materials as much as the ability to grow materials at all.

MBE & RHEED Enable Quantum Material Growth Insight

The pursuit of stable qubits hinges on a narrow margin for error during material creation; even subtle atomic-scale variations can dramatically impact performance. A collaboration between Veeco and k-Space Associates exemplifies this trend, combining advanced molecular-beam epitaxy (MBE) systems with real-time metrology to provide researchers with insight into material development. Process intelligence is now considered as vital as process capability, signaling a move from merely being able to grow quantum materials to deeply understanding the growth process for improved consistency and reproducibility. Veeco MBE systems already incorporate reflection high-energy electron diffraction (RHEED), and this is frequently paired with RHEED analysis technology from k-Space. RHEED functions as a real-time window into crystal growth, revealing surface structure, morphology, and growth dynamics as materials are deposited atom by atom.

The k-Space KSA 400 platform is a leading solution for acquiring and analyzing this RHEED data, and integration with Veeco’s Molly software environment allows for analysis throughout growth, even using data as parameters in recipes for closed-loop process control. “By integrating advanced metrology directly into the growth environment, researchers can better understand the relationship between process parameters, material properties, and ultimately qubit integrity.” This integrated approach is particularly crucial for quantum materials where interfaces dictate device performance.

Reducing defectivity and improving material uniformity can directly contribute to longer qubit coherence times and improved device performance for superconducting qubits, spin qubits, and other quantum architectures. Complementary technologies, such as k-Space’s kSA BandIT thin-film temperature-monitoring system, further enhance process visibility, providing temperature uniformity data independent of traditional methods. “Historically, characterization has occurred after a growth run was complete. Today, the focus is shifting toward integrated metrology, where process data becomes integral to the workflow,” noted Chuck Taylor, Vice President of Technology, k-Space Associates. “RHEED analysis, combined with temperature monitoring, advanced analytics and closed-loop feedback, can allow identification of subtle process changes as they occur to enable better decision-making.”

Quantum computing places extraordinary demands on materials quality, where even minor atomic-scale variations can significantly impact device performance.

Matt Marek, Vice President of MBE Products at Veeco

The pursuit of stable qubits demands increasingly precise control over the materials upon which they are built, and a fundamental shift is occurring in how those materials are created. No longer is post-growth characterization sufficient; the focus is now firmly on understanding the growth process itself, integrating measurement directly into material deposition. This isn’t merely about achieving better materials, but establishing a fundamentally different approach to their fabrication. Every Veeco MBE system incorporates RHEED, often paired with analysis technology from k-Space, providing insight into surface structure and growth dynamics at the atomic level. Beyond RHEED, complementary technologies like k-Space’s kSA BandIT system further enhance process visibility by monitoring thin-film temperature. Temperature uniformity significantly impacts film quality, and integrated monitoring provides researchers with greater control over this critical variable. This system measures temperature through the temperature-dependent shift of a material’s optical band edge, offering resistance to emissivity changes and stray light.

Historically, characterization has occurred after a growth run was complete. Today, the focus is shifting toward integrated metrology, where process data becomes integral to the workflow.

Chuck Taylor, Vice President of Technology, k-Space Associates

k-Space KSA 400 Platform Monitors Film Temperature Uniformity

Veeco and k-Space Associates are redefining quantum material creation with a focus on real-time process monitoring, moving beyond simply achieving material growth to deeply understanding the intricacies of that growth. The KSA 400 isn’t merely collecting data; it’s providing a crucial window into the atomic-level processes occurring during film deposition, allowing researchers to observe surface structure and morphology as materials are built layer by layer. Beyond RHEED, k-Space’s kSA BandIT thin-film temperature-monitoring system offers an additional layer of process visibility, addressing a critical variable often overlooked in traditional methods. This is particularly vital for quantum materials, where even minor temperature fluctuations across the substrate can significantly impact film quality and, consequently, qubit performance. This understanding is facilitated by Veeco’s Molly software environment, which allows RHEED data to be analyzed throughout the growth process and incorporated into recipes, establishing the foundation for closed-loop process control.

Researchers can now automate critical transitions, dynamically adjust parameters, and standardize complex structures for reproducible results. The combined capabilities of Veeco and k-Space are enabling more consistent outcomes and accelerating the development of next-generation quantum devices.

RHEED, and the corresponding analysis, serves as a real-time window into crystal growth, providing insight into surface structure, morphology and growth dynamics as materials are deposited atom by atom.

PCA & Simulation Accelerate Data Analysis & Prediction

Researchers are now leveraging tools like principal component analysis (PCA) and simulation to extract meaningful insights from the vast datasets generated during epitaxial growth, accelerating the development of more reliable quantum devices. As quantum systems transition from prototypes to practical computing platforms, the volume and complexity of process data continue to escalate, necessitating faster and more detailed analysis. To address this, k-Space Associates is enhancing its RHEED platforms with higher-speed imaging and improved data acquisition capabilities. New camera technologies now capture hundreds of frames per second, offering significantly greater visibility into dynamic growth processes than previous systems allowed. This increased data resolution is then coupled with analytical tools like PCA, which identifies the most significant features within complex image datasets while minimizing noise. Instead of manual analysis of countless RHEED images, researchers can now concentrate on the characteristics that truly impact material properties, dramatically speeding up interpretation and decision-making.

Complementing these analytical advancements is the growing use of simulation. k-Space’s RHEEDSim platform allows researchers to generate and analyze simulated RHEED patterns in a virtual environment, providing a deeper understanding of growth behavior and creating valuable datasets for training machine-learning models. This convergence of process tools, metrology, and simulation is paving the way for even more transformative developments. Recent research demonstrates how machine-learning algorithms can analyze RHEED data in real time, identifying changes in growth conditions and detecting transitions before they become apparent to human observers. These AI-driven feedback loops promise to dramatically reduce development cycles for new quantum materials while simultaneously improving reproducibility across research programs, ultimately enabling a more efficient and reliable path toward scalable quantum technologies.

Developing quantum materials requires understanding how growth conditions, interfaces and material properties interact throughout the process of growing films.

Ian Farrer, senior quantum materials engineer, Quantum Foundry
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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.

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