🤖 AI Summary
EuQlid, a startup spun out by researchers and industry veterans from Harvard, Yale, Maryland, Cadence and TI, has unveiled Qu-MRI: a quantum diamond–based scanner that non-invasively generates 3D maps of buried electrical currents in semiconductors and batteries. Combining diamond quantum magnetometry (their Quantum Diamond Microscope platform) with advanced signal processing and AI analytics, Qu-MRI claims nano-amp sensitivity and high throughput to reveal hidden defects without grinding, slicing or physical contact—making rapid, production-line inspection feasible.
The device targets a core pain point for chipmakers building 3D ICs: current inspection methods are often destructive, slow, or limited in subsurface resolution. EuQlid says Qu-MRI can find buried connectivity faults earlier in validation and inline during manufacturing, potentially saving foundries billions and addressing a growing >$10B metrology market. Imec endorses the approach as solving a foundational need for next‑generation semiconductor manufacturing. The company’s QDM tech is already used in geoscience and bioimaging at top universities, and the startup has just raised $3M from QDNL Participations plus $1.5M in early customer revenue, positioning it to commercialize quantum-enabled chip inspection.
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