From CERN Researcher to Deep-Tech CEO: How a Physics Nerd Built a Multi-Million Startup - with Terra Quantum Founder Markus Pflitsch

About this episode

Terra Quantum has closed one of Europe's largest deep tech funding rounds: €75 million Series A. But what exactly is this for? And what's behind the quantum computing hype? Markus Pflitsch, former CERN researcher and founder of Terra Quantum, explains on the Unicorn Bakery podcast how decades of consulting experience and quantum physics evolved into a multi-million startup.

Quantum as a Service: Bridging to the Future

Terra Quantum's core concept can be described as "Quantum as a Service." Since the required quantum chips aren't yet available with sufficient performance, the company simulates these chips to make quantum algorithms applicable today. It's a clever solution to a timing problem: the theory exists, but the hardware doesn't yet.

Markus explains the practical applications of quantum computing beyond complex physics. It's about solving optimization problems that push classical computers to their limits. Quantum computers could theoretically save millions in costs by revolutionizing complex calculations in areas like logistics, financial modeling, or drug development.

The Parallels Between Quantum Computing and AI

A fascinating aspect of the conversation involves the parallels between quantum computing and artificial intelligence. Both technologies complement each other and could work synergistically in the future. While AI already finds practical applications today, quantum computing is still at the beginning of its commercial use.

The collaboration of both technologies could open new dimensions of problem-solving. Quantum algorithms could exponentially accelerate AI models, while AI helps optimize and control complex quantum systems.

Deep Tech from Germany: Challenges and Opportunities

Markus shares his experiences building deep tech startups in Germany. The biggest challenge lies in market education: potential customers first need to understand what they might need quantum computing for. This requires intensive educational work and tailored use cases.

Terra Quantum takes an individual approach to pricing. Each use case is treated specifically, as applications can vary significantly. This flexibility is crucial in a market still in its development phase.

The Investor Question: Why the Right Choice is Critical

For deep tech startups, selecting the right investors is particularly critical. They must bring not only capital but also understanding of long development cycles and complex technologies. Markus emphasizes how important it is to find investors who share the vision and have patience for market development.

What Happens When Quantum Chips Become Available?

An interesting question is what happens to Terra Quantum's business model when real quantum chips with sufficient performance become available. Markus doesn't see this as a threat, but as an opportunity. The company positions itself as a bridge between today's simulation and tomorrow's hardware reality.

Tips for Deep Tech Founders

Markus' key advice for deep tech founders:

• –Plan for patience and long development cycles
• –Start market education early
• –Find the right investors with deep tech understanding
• –Remain flexible with use cases and pricing models
• –Build a strong technical team

Looking at the Global Deep Tech Market

Comparing the DACH, European, and American markets, Markus sees different dynamics. While America is often faster at commercialization, European deep tech startups often have a more solid technical foundation. Germany scores with strong research but needs to catch up in implementation.

Terra Quantum demonstrates that it's possible to build a global deep tech startup from Germany. With the right mix of scientific excellence, entrepreneurial courage, and strategic planning, even complex technologies like quantum computing can find their way to market.

The €75 million Series A is just the beginning of a journey that has the potential to transform entire industries.