 Really, you know, make, make your point and excited us and make us, make us want to learn more. We'll even read your paper. So Ricardo, the leg, the Lego to Rome. Are you here. Yes, I am here. Okay, go ahead. Thank you very much for the invitation. Let me just. I think I have a problem with it. Can you, can you see my screen? No, no. No. Now you should always share the desktop itself. It's easy. No, we cannot see your screen. You need to click the share screen button. Yes, in the middle of it should be in the middle of your screen. So screen. Can you see now? No, no. Very disappointing. I'm sorry for this. Well, what, so why don't you take this opportunity just to turn your camera on and tell us what you're doing. Me meantime while you're doing that. Yes. Yes. If this doesn't work, then I can, I can, I don't know why it doesn't work because I can see the screen. So this came back doesn't work. Yeah. Okay. I am working. I am ferreted to the University of Primozka. Can you see me now? Yes. Okay, now I try to speak and share the screen. Okay. I am working on quantum radar with some collaborators in from Hoffman Institute, Germany. And then we're going to run it is basically based on the idea of the protocol of quantum illumination. Quantum illumination is a protocol discovered 2008, basically by Seth Lloyd, and all the people were working on. And the idea is to use instead of usual, a quarter light with a minute user entanglement. The advantage of this is that entanglement provides extra correlations, extra correlations between a, you have two photons that you have states quantum states. You have beams composed of disguised by quantum states, one with two photons, one of the photons, the two photons will have correlations and these correlations, although entanglement is lost in light higher sensitivity. The advantage of this is that the signal to the ratio for quantum correlation is is higher than for any other light of the same characteristics of frequency and intensity. For example, to model the first original model from Lloyd. It's really amazing the enhancement signal to the ratio, one can speak about 60 dv, but the more more realistic scenarios with Gaussian lights scenarios script to back in the states. For them, the theory says that the enhancement on signal to noise ratio is about three dv with respect to current light illumination. So this is the theory and from the theory to the practice is a long path a very different situation. Why, because for to have this enhancement, you need three, do you need three conditions, the first is law or the law. If you need low reflectivity for the target, then you need high bright noise environment, can be artificial, can be natural environment, but very high bright environment. The third one is very low signal signal. So when you have these conditions, which are the fundamental conditions for the theory, then this enhancement happens a. This is for any kind of frequency you can work. So this theory is correct. It's like this for a for optical frequency for microwave frequency for x y frequencies. But the case of optical frequency is, is from my point of view is very interesting, because it's the easier to recognize in experiments. So differences microwave, which is much more difficult to get these conditions, especially for the detection and for the generation of the beans of the states of optics is much easier. You can generate entangled states with spontaneous conversion on the optical. The detectors are there. So there are experiments on the on the optical regime since 2013, which are basically are quantum laders. The sense that they use this quantum enhancement and the lighter assets to instead for for lighters, but they are prototypes. They are experiments in the labs, the distance are small. The integration times are large. So everything is like an embryo state. In this sense, so quantum lighter is a is a is the prototype that use quantum properties of light for my for range detection. And in my work, but what we are doing is to analyze one of the sizes. In which conditions or which applications could have realistic application. This new idea is not so new, but it's difficult to implement. And then seems that optical is good because for what I said before, and the application so one can say could be a enhancement on scanning systems with a with a situation where you need low intensity and you have a bright environment. And to follow it to natural situation for this one is security applications. There is a biomedical applications. If I have to speak of my particular work on this topic, I will say that what they did some quite recently is to generalize the idea from Lloyd. So instead of using a states from with with two internal photons one use states with three photos. Then, basically, when you do this, the enhancement is even bigger is larger. And of course there is a contrast counterpart is that is more difficult to generate free internal photons and two photons, and to detect the triple is much more difficult than the two photons. But this is the situation now so there are also experiments where where it is possible and realistic has been realized to detect free photos. I think Ricardo you're going over time now so. wrap up with a conclusion. Yes, so. Okay, so it's, we got to keep on time. So question anybody have a question, I do. So, let me ask you Ricardo so what. What advantage I didn't quite understand the advantage. So I understand these aren't yet done. You haven't actually implemented a quantum LiDAR. Okay, well, Joe. So maybe Joe's going to ask something a little more relevant, but why don't why don't I let Joe ask a question he's got his hand up. That was actually my question what is what is the primary advantage of using quantum LiDAR instead of. any kind of non quantum LiDAR. So, I think there are advantages. There are, I think there are at least two. The first is enhancement on signal to noise ratio for the same type of frequency and intensity. The second is enhancement on range delay. This has been a different, it's a different enhancement and happens a different domain of signal to noise ratio. But this is the two that I think. Hey, thank you. All right, well thanks, thanks a lot Ricardo.