are live.

What we do in a nutshell is we build a quantum computer.

Actually, that's a picture of one that you see there and we sell it to big supercomputing centers and data centers around the world.

And why are we doing this? The reason is that there are so many problems on Earth that we don't even start computing because we know it's too hard and we are never going to make it, even if we build the biggest supercomputing centers and data centers in the world.

There are problems like this, like simulating fertilizers, the chemical properties of fertilizers.

If you really want to do it accurately, you would need to build a computer that has more transistors than we have atoms in the universe.

So that's quite an impossible task to do.

But even if we

For all the audience out there, what is the practical impact of this specific jump in terms of the capabilities? If you can describe it for the audience that might not be familiar with quantum capabilities.

So the big difference between a quantum computer and a conventional transistor-based computer is that it works based on quantum physics.

So the transistors that we have, we call them qubits, like the quantum version of a transistor.

And the compute power scales exponential with the processor size, whereas with a normal processor, if you want to double the compute power, you need basically twice the number of transistors or two times the GPUs that you have.

So it's really this exponential growth of compute power with processor size that makes the difference.

And this is what ultimately unlocks all of those applications where we know today we will never be able to solve them with a normal computer.

And there are very simple examples.

What do you think the everyday applications that are emerging today? within chemistry, finance, logistics, like which would be the first to show a real measurable impact on the balance sheet, in

What does come next? What are you focused on here, especially when you do talk about something like quality checks? And I know ahead of going public, um, you started engaging, for example, here in the US, uh, with the government more as well.

Yeah.

So of course, we are really driving the business forward.

We just announced a big deal where we sell a quantum computer into a AI factory, so it's the combination of quantum and AI, uh, which, um, is, is really exciting for us, and we are going to connect the quantum computer physically in the data center to the AI machines.

Um, so we will push forward the, the commercial adoption, and then of course, delivering on the roadmap.

We have a very ambitious tech roadmap, um, on the way, um, to developing quantum computers that are really commercially viable.

And, and I think that's the big step for the whole industry as such, is to creating quantum advantage, which is when quantum computers really outperform big computing centers on a commercial scale.

What are some of the other opportunities?

For all the audience out there, what is the practical impact of this specific jump in terms of the capabilities? If you can describe it for the audience that might not be familiar with quantum capabilities.

So the big difference between a quantum computer and a conventional transistor-based computer is that it works based on quantum physics.

So the transistors that we have, we call them qubits, like the quantum version of a transistor.

And the compute power scales exponential with the processor size, whereas with a normal processor, if you want to double the compute power, you need basically twice the number of transistors or two times the GPUs that you have.

So it's really this exponential growth of compute power with processor size that makes the difference.

And this is what ultimately unlocks all of those applications where we know today we will never be able to solve them with a normal computer.

And there are very simple examples.

What do you think the everyday applications that are emerging today? within chemistry, finance, logistics, like which would be the first to show a real measurable impact on the balance sheet, in

So Jan, what do you view as your competitive advantages? I talked about it just a minute ago, but what are your thoughts on competitive advantage?

Yeah, I think that's a good question.

And you can look at this from two angles.

One is the technology side.

So what makes our technology special? And the other one is the business model and how can we compete in the market? And I think we have actually competitive advantages on both sides.

So we already talked a little bit on the operations of the company.

So being able to deliver quantum computers at scale, that's actually something that you don't develop overnight, right? You need a fully fledged factory.

Why now?

Yeah.

It's like in semiconductors where we had Moore's Law over decades, and the processors become more and more powerful, and I think we have seen this with AI, which runs on GPUs.

Initially, GPUs were developed for graphic processing and then people did also crypto mining, a lot of simulations.

So the, the processors become more powerful over time, and more and more applications get unlocked, and it's the same thing with quantum.

The computers that we build get more and more powerful over time, and more and more applications get unlocked over time.

What does quantum do to that entire conversation?

Yeah, so quantum has the promise to solve problems where we know today we will never be able to solve them on conventional transistor-based computers, and some of them are actually also in, in the cryptum, crypto and en- encryption, um, domain.

This means there is a risk ultimately, um, for all the communication that we do for some of the cryptocurrency and, and other things.

Why has that been your strategy?

Yeah, it's an excellent question.

And there is some thinking behind this actually.

So if you think about these two business models, selling through the cloud on the one hand side to a very broad audience and selling dedicated machines to very well-educated customers, big supercomputing centers, It's actually very different customers in the background.

And this means that if you want to make sure that you learn from your customers and you develop the product further and you really accelerate the innovation cycle, it's actually very helpful if you sell to very educated customers and let them help you developing the product further.

I'm convinced you need both in the end.

And we do sell both through the cloud and through the on-premise deliveries into data centers.

How much of a step up in capability was Radiance from Spark? And what are some of the new capabilities that you're looking to deliver with your next generation of Halocene machines?

Okay, okay.

Und, ähm, der Ausgabepreis bei so 'nem SPAC ist ja normalerweise zehn Dollar und interessanterweise sind die ganzen Quantum SPACs, ähm, noch über zehn Dollar.

Also das ist so 'n bisschen die Ausnahme, ähm, zur Regel.

Ähm, der, der Grund ist, dass man natürlich gewisse Dinge anders machen kann als bei 'nem traditionellen Börsengang.

Und jetzt grade auch bei uns, wir haben uns das natürlich auch gut überlegt, machen wir den traditionellen Börsengang, gehen wir über 'n SPAC an die Börse.

Ähm, und es gab dann natürlich verschiedene, ähm, Blickwinkel wieder.

Eine Sache ist, es gibt 'ne größere Sicherheit, ähm, dadurch, dass man eben 'n Merger ja macht mit einer Hülle, in der Geld liegt, ähm, ist es eigentlich ein M&A-Deal, ähm, den man da macht und, äh, das heißt, den kann man so durch, ähm, exekutieren.

Ist das ein Weg, wo du auch unterwegs warst?