There’s an opportunity to improve robotic quality inspection with quantum computing technology. In this episode of Quantum Matters, host Murray Thom speaks with Dr. Eneko Osaba, Principal Researcher at Tecnalia, about applying hybrid quantum optimization to robotic quality inspection. Eneko shares how his team tackled a practical path-planning problem, optimizing how a physical robot inspects parts under real constraints. Using D-Wave’s Stride™ Hybrid Solver, they reduced solve times from hours to seconds in this case while achieving approximately 86% of the benchmark solution quality, highlighting a tradeoff industry often prefers: fast and good over slow and perfect. Listen in to explore how to identify problems suited for quantum optimization, what it takes to implement these systems in practice, and why collaboration between domain experts and quantum teams is critical.

Highlights include:

1. 2:45 From Curiosity to quantum
2. 6:29 Robot inspection at work
3. 15: 32 Quantum built with industry, not theory

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