Yes. There are ways to directly use the QPU. We could do that right now. We could reduce our problem. The ones that we’re doing right now, the trades that we’re doing, we can fit that into our QPU. It would leave us with less control. It would lead to a white paper or something like that — an archive paper. We could say, “At Icosa Computing, we partnered with D-Wave, and we used the QPU to do these trades and we profited x amount. Amazing. There’s quantum advantage. We did something using quantum for sure — real quantum.”
We find those approaches a bit ad hoc, so it’s just for the sake of using quantum, we’re using quantum. Our philosophy is that we’re using the most capable provider, or solver, or approach that’s out there. D-Wave hybrid is great. Again, it’s a bit quantum inspired. It’s not clear, because it’s a black box, and as researchers, we don’t like using black boxes. As a black box, it performs well, but we don’t know the internal workings — if it’s quantum or not. It is hybrid. There are all sorts of elements of QPU in there. We’re not trying to publish, or write white papers, or provide workshops to our clients. We’re just solving their problems.
Usually, the finance people, they don’t care about how we solve the problem, as long as we solve the problem. Then, for hedge funds, it’s even clearer: If you’re making profits, great. They’re saying, “We make, already, 40% with our method. You come to us. You claim this new technology, quantum, blah, blah, blah. Amazing.” Then you trade, and you make 30%. You add 10% to their profits. That’s all they care about. That’s how hedge funds operate, especially the mid-range ones, the ones that we work with. Maybe the large-scale ones are building for the future, and they want to try out this technology, and create a team, and have workshops, and be ready when quantum hits, but that’s not our approach. If we were doing that, we would be competing with 10 companies, and we don’t want to do that.