AME Technology Hits 97% Yield at Major U.S. Interconnect Maker

A major U.S. interconnect manufacturer has begun utilizing a new additive manufacturing process on its production floor after achieving a 97% yield during validation; the technology comes from QTREX Quantum. The company’s Additively Manufactured Electronics, or AME, system successfully completed hundreds of technical and process evaluations, covering reliability, vibration resistance, and humidity exposure, before being moved from a development environment. This milestone signifies progress in producing high-density interconnect structures, a growing challenge for advanced electronics manufacturers. Dagi Ben-Noon, Chief Executive Officer of QTREX, said that the 97% yield “demonstrates that our AME system is ready for demanding production environments.” QTREX’s AME technology uniquely integrates dielectric and conductive materials into single 3D structures, addressing a critical need for advanced connectivity in quantum computing and beyond.

AME Technology Validation Achieves 97% Yield in Production

A 97 percent yield during validation testing signals a substantial leap forward for additive manufacturing in the demanding field of quantum computing interconnects. QTREX Quantum recently completed an extensive validation program with a major U.S. interconnect manufacturer, demonstrating the viability of its Additively Manufactured Electronics (AME) technology for high-volume production. This unnamed manufacturer, a leading provider with existing quantum computing product lines, has now integrated the QTREX AME system directly into its production floor, transitioning from development to full-scale manufacturing. The validation process was rigorous, encompassing hundreds of evaluations focused on reliability, mechanical resilience against vibration, environmental factors like humidity, and yield performance. Achieving a 97 percent yield is particularly noteworthy given the complexity of high-density interconnect structures, where even minor defects can compromise performance.

This milestone arrives as electronics manufacturers grapple with increasing demands for denser interconnects, improved thermal management, and enhanced signal integrity, challenges that conventional manufacturing methods are increasingly unable to meet effectively. QTREX’s AME technology offers a potential solution by enabling the creation of complex, three-dimensional structures that seamlessly integrate both dielectric and conductive materials into a single, unified component, a capability the company asserts is significant. QTREX is continuing to pursue engagements centered on high-performance connectivity, AME-enabled manufacturing processes, and the development of essential quantum infrastructure, positioning itself as a key player in the evolving field of advanced electronics manufacturing.

Achieving 97% yield after hundreds of evaluations demonstrates that our AME system is ready for demanding production environments.

Dagi Ben-Noon, Chief Executive Officer of QTREX
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Ivy Delaney

Ivy Delaney has been working with neural networks and machine learning since the mid-nineties, back when a couple of hidden layers and a long afternoon of training counted as ambitious. She has watched the field go from academic curiosity to the thing quietly running underneath everything, and she brings that long view to quantum computing. For Quantum Zeitgeist she covers the ground where the two fields meet. That means quantum machine learning and the variational algorithms it leans on, and it also means the less glamorous but more interesting story of classical machine learning already doing real work inside quantum machines, decoding error-correcting codes, calibrating noisy hardware and learning the error models that simulators depend on. She writes about the hardware those algorithms have to run on too, and about the post-quantum cryptography scramble that the same hardware has set off. Her stories typically start with the paper, whether that is peer-reviewed work, conference proceedings or an arXiv preprint, with the source linked so you can hold a claim up against the research it came from. She is unimpressed by benchmarks that will not say what they beat, and by demonstrations that only work in the press release.

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