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

Learn More: https://www.dwavequantum.com/

Quantum Optimization: https://www.dwavequantum.com/solutions-and-products/quantum-optimization/quantum-optimization/

Get Started with D-Wave Today: https://www.dwavequantum.com/build/getting-started/

Quantum computing can feel abstract… Until you see the kinds of business problems it’s already being applied to. On this episode of Quantum Matters, host Murray Thom is joined by Mayowa Ayodele, Manager, Solutions Architect on D-Wave’s Professional Services team, to explore how organizations are using hybrid-quantum computing approaches to help deliver measurable results today. Drawing on real-world client engagements across industries like logistics, manufacturing, energy, and finance, Ayodele breaks down what makes a problem well- suited for quantum-powered optimization: challenges that are large, complex, and driven by discrete decisions. She also unpacks why classical systems can begin to struggle as constraints multiply, how hybrid solvers can, in some cases, reduce time to solution from hours to seconds, and what it can take to move from proof of concept to production. The conversation also highlights the importance of clean data, strong collaboration with domain experts, and practical pathways for teams that are new to quantum computing to get started with confidence.

Highlights:

8:00 - The 3 Things You Need to Solve Problems with Quantum

13:21 - Good Data Determines Good Results

23:36 - What Makes a Quantum Project Successful

Can quantum computers really change the way we move, work, and solve problems in the real world? In this premiere episode of Quantum Matters, host Murray Thom sits down with global tech executive Martin Hofmann to explore how quantum computing is tackling challenges that are too complex for classical systems. Hofmann shares his experience partnering with D-Wave on projects in Beijing, Barcelona, and Lisbon, where hybrid quantum-classical systems are used to improve traffic prediction and optimize routes—cutting travel times by up to 30% in some cases. He also introduces the idea of outcome engineering—starting with a clear goal and working backward—and explains why meaningful innovation goes beyond proof-of-concept experiments. Listen in as they explore the future of quantum computing and agentic AI, and how combining these technologies could help reshape industries.

Highlights include:

7:10 - Solving Beijing's Traffic Congestion Problem with Quantum

13:42 - Live Traffic Rerouting in Action

20:08 - Hybrid Quantum + AI Collaboration