Quantum computing in practice with Repsol: What early industry projects actually look like
What does it mean in practice to explore quantum computing in an industrial setting? What kinds of problems are investigated — and what do teams actually learn?
This session focuses on real examples of early-stage quantum exploration, how these projects are structured, and how they connect to existing R&D workflows. It includes a real-world example from a joint project between QunaSys and Repsol.
Our relationship with Repsol
QunaSys collaborates with Repsol since 2023 to explore quantum computing applications in energy and materials science. The partnership supports Repsol's digitalization and energy transition strategy focusing on catalyst design, renewable fuels, hydrogen technologies, and advanced materials research aiming to identify practical quantum advantages for future industrial use in the long term.
What this webinar will cover
- How companies approach early-stage quantum exploration in practice
- How projects are structured: from problem identification to feasibility analysis and prototyping
- What teams actually gain from these projects (e.g. insight, capability building, decision-making input)
- A real-world example from a joint project between QunaSys and Repsol
Who is this webinar for
- R&D leaders and technical managers evaluating new computational approaches
- Scientists and engineers exploring how quantum computing could fit into existing workflows
- Teams considering or planning early-stage quantum projects
About the speakers
Ricardo Enríquez Miranda
Head of Quantum Technologies Team, Repsol
Ricardo Enríquez Miranda holds a PhD in Physics from Universidad Complutense de Madrid. He has a long trajectory as researcher of disruptive technologies to accelerate the energy transition in institutions such as CIEMAT or the International Energy Agency. Currently at the Advance Mathematics Department at Repsol Technology Lab, he is the head of Repsol's Quantum Team, created to guide the Company's Quantum Journey.
Ronin Wu
Project Director, QunaSys
Ronin Wu is a Project Director at QunaSys, where she leads research architecture and client-facing quantum computing projects. She holds a PhD in astrophysics from New York University and has held postdoctoral research positions at CEA Saclay, the University of Tokyo, and the Observatoire de Paris, working on spectral analysis, instrument calibration, and data science across large astronomical datasets. Before joining QunaSys, she spent over six years at Iris.ai, progressing from Research Engineer to Head of Research, where she led projects in NLP, knowledge graphs, and domain-adapted embeddings. Her work bridges data science, scientific computing, and quantum algorithm research.
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