potential problem this can solve? You know, like if you meet some skeptical enterprise buyer and give them some examples, what would you say?

So I can address a couple of our verticals, both on the quantum competing and quantum communications, right? Because we do have technologies for both.

And we are working on offering the products for those.

On the quantum computing side, the current platform that we have are DRAC products.

And basically, they are a photonic-based quantum optimization machine.

So the optimization problem is a very general problem within quantum.

many different industries, whether it's finance or whether it is logistics or whether it's chemistry or for all of these, at the end of the day, it's a kind of a math problem that needs to be solved.

So can you tell us, are those... offering or is this offering dedicated to the same customers or they are completely different customers buy it

So how does your new algorithm, which is called, I guess, CVQ Boost, how does that change how banks or financials would look at high dimensional transactional data?

Yes, it is actually.

CVQ Boost uses a series of weak classifiers and then makes it into a strong classifier.

Now, in a sense, this problem can be translated into an optimization problem because if you have a series of weak classifiers and you are trying to construct training based on that, you need to know the weights that you're assigning to each of these weak classifiers.

And then you can write them as a sum equation and try to minimize that function, basically.

And that is natively an optimization problem, which you can directly map it into the physics of our system, the Hamiltonian of the system that we are trying to solve.

So that's why our Dirac 3 system that we have It's a continuous variable optimization that we have, and we can map this weak classifier or this classification problem into the Hamiltonian as an optimization problem, and then let the system evolve into the ground state energy, which is the minimization of this problem.

So does that allow for an extra level of explainability then?