Quobly and TNO Partner to Optimize Silicon Spin Qubit Manufacturing
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Quobly and TNO Partner to Optimize Silicon Spin Qubit Manufacturing Quobly (Grenoble, France) and TNO (Delft, Netherlands) have announced a research collaboration focused on accelerating the industrialization of silicon-based quantum computing. The partnership aims to bridge the gap between device engineering and materials science to improve the yield and performance of silicon spin qubits.
Strategic Objectives The collaboration centers on understanding how material-level phenomena affect qubit performance. By integrating Quobly’s CMOS-compatible design with TNO’s characterization capabilities, the organizations aim to: Identify and mitigate critical defect mechanisms in silicon hardware. Shorten development loops through faster iteration cycles. Optimize device designs for large-scale, industrial manufacturing.
Complementary Expertise The partnership leverages specific regional strengths within the European quantum ecosystem: Quobly: Contributes its background in silicon spin qubit design and its experience with CMOS fabrication processes (leveraging its strategic ties to STMicroelectronics). TNO: Provides advanced materials analysis and cryogenic device testing through its Quantum Information Technology Test Facility (QITT).
The Bottom Line For the silicon spin qubit modality to succeed, it must move beyond laboratory “hero devices” toward reproducible, high-yield manufacturing. This collaboration is a pragmatic move to address the “materials-to-manufacturing” bottleneck. It also reinforces the burgeoning quantum corridor between France and the Netherlands, utilizing TNO’s role as a technology bridge to help startups like Quobly transition from R&D to industrial-scale production. A full press release announcing this collaboration has been posted on the TNO website and can be viewed here. January 17, 2026 dougfinke2026-01-17T13:28:28-08:00 Leave A Comment Cancel replyComment Type in the text displayed above Δ This site uses Akismet to reduce spam. Learn how your comment data is processed.