11:34:16 It's a complicated.
11:34:18 Yes, so I will try to give you, since you're, you know, the conference is mostly about, you know, transport and things like that.
11:34:27 I would like to, to give you an idea about you know some of the things we've got, you know, some probably some new ideas that you think you can follow up in the next next few years, which is something like, you know, we did all these experiments and one
11:34:42 dimensional systems.
11:34:45 And I think we can build, you know, really cool.
11:34:48 Quantum machines, out of those where you basically use the quantum field description of a low dimensional system.
11:34:55 As your medium one which to build the machines and then the basic ideas are now about three years old in this this book on 13 Amex and we had a long long paper just in pure x quantum which describes how this is the status I want to show you a few of those
11:35:11 things of course experiments are just studying and, and I can show you, you know, eat flow animals flow things like that yet but we can show you that.
11:35:25 I think we have all the ingredients in that we do this stuff. So what's the basic idea is we want to be machines, and study processes where the not first of all the number of parties is large, quantum mechanics is essentially to describe it to describe
11:35:40 the dynamics.
11:35:41 Yeah. and for that.
11:35:48 So we want the quantum anybody that's described by some by quantum theories, and why we think is it interesting.
11:36:03 And you can poke the role of inflammation in the quantum telekinetic process.
11:36:05 It might you might give you an interface between statistical mechanics and quantum physics.
11:36:08 And when you broke the role of inflammation, we can say that, you know, you know, basically what the machine can do is what I know about it.
11:36:15 And.
11:36:18 And also, we want basically want to build, you know, quantum machines, they cannot really calculate in and you know, in this in a simple way but in a classical computer.
11:36:27 And as you will see for us a very strongly correlated quantum language and fi in the on the fuel of the machine. We basically have something like this, that is in the normal sense, way, way, way beyond anything that the customer.
11:36:42 So, please effective quantum theories are very powerful to describe anybody quantum systems, and you can view it in a way of the data that I want to see.
11:36:59 Tell you afterwards that it is a quantum anybody system for which this effect the quantum theory emerges, a temperature equal zero you can basically say this is the vacuum and expectations being the particles energy density being the geometry and all
11:37:07 these other things you can you can think about them, you know you can relax them in the in the lab and examples of course is the one day super fluent in the language liquid is, which were at before as an example of and.
11:37:20 And you know, something that looks like your work is the quantum field theory, you will take two can couple super fluids you get the same one model which you can map us on to many, many, many, many different, different problems, ranging from you know
11:37:32 the old theory problem to, to know to that to stream breaking into to CD and I think like that and they are there.
11:37:44 And here we want to use this kind of theory to implement disturbing machines in the study hall of information on the phone with him and he's so busy they want to be the outline of what I want to talk about more and more details.
11:38:02 So what's the basic. The basic idea of this quantum field machine is basically you take anybody's system, which you described by quantum creatively.
11:38:12 And you can divide it into reservoir systems and another reservoir and you can manipulate the reservoir, the piston and, and in such a way that you can maybe you know you couple.
11:38:28 The other one on to the piston, you can compress it this you connected to the reservoir to, and therefore you can pump energy from one reservoir, that to the other.
11:38:36 This will be a simple, simple machine that you can think of building edited and these reservoir could either be a very simple idea to liquid, then the theory is simply we can write it down, or this could be an extremely strongly correlated, you know say
11:38:51 Gordon quantum field where I don't have any, any chance that I can do the calculations because it's basically all orders of correlation from all are connected correlate the server or the same order number one in every order you get new information system.
11:39:08 So, what is what I think what is cute in my thought that this is an extremely interesting party now, if I build something like that.
11:39:18 I have, you know, lots of information about the reservoirs.
11:39:24 And I could think about, you know, you can do you can look this ecosystem machine to being extremely number one.
11:39:32 Remember we did this experiment if you years ago we showed that if you design your, your discussion relation correctly in a quantum fluid.
11:39:39 You can get recurrence of 10s of thousands of particles quantum occurrences of coherence and 2000 particles, you can think of you design your reservoir in such a way, that, you know, there are certain times when we cover them with it has basically all
11:40:03 Depending on how strong you make the couplings you can either make strong coupling or recoupling.
11:40:05 information that's there in the beginning, and in between, it's in a, in a good state, and it looks like a completely classical.
11:40:07 There's another question which is extremely interested in the I think, in our systems that we have splitting and coupling creates additional noise, which is usually completely neglected in machines, but that that splitting noise is basically, it's the
11:40:23 beam split the noise and which was that the noise that we mentioned in the Malaysian experiments.
11:40:35 So you, these are basically things that every connection every other things that you do, gives you an additional quantum noise, which, if you go to the thermodynamic limit basically has no influence but in the final machine can be a defining problem.
11:40:43 And the other thing is that, you know, we have shown that you know depending on how we do this, the coupling and the coupling great entanglements between the different paths that you have intended entanglement you can think of using that as a resource
11:40:55 to make to for example he throwing around.
11:40:59 And as I said, we can make this this machine given me that have a strongly correlated sanguine feed, which you basically have been a machine that's been that have been strongly correlated.
11:41:10 And you can also think about doing many of these machines in parallel, if you do the machines in parallel. In you operate them in parallel, and you can think of that all classical physics, things would be equal.
11:41:23 And they would drop out in a differential, but everything and has to do with a quantum.
11:41:28 The Quantum noise with different, and don't give us, direct handle on showing what I caught a quantum properties of this type of machines.
11:41:36 So this is basically one of them was one of the motivations where we thought that might be interesting to really look into that building, building quantum machines into with with this quantum fields.
11:41:47 So what's the idea behind there, man I said you know we which quantum fields we think of, we usually do most of our experiments with that with, you know, both on the potential liquid, where we have a very strong confinement address this direction but
11:42:04 be so cold and you describe a field, which has an faith, family, you know, as in a face and then then to the fluctuations with a population of these expectations, and you can solve that with some of the linear model or is it like a liquid and if you take
11:42:24 two, you get this and Gordon model away, which has is non trivial call center mania.
11:42:32 And, which. From where are these topological Education Center. There's some correlations coming to the, to the model.
11:42:38 And we can implemented basically on this on our chips, where we can reach this this question that we can reach them which is a very small and temperatures are much smaller than any, any technology so.
11:42:54 And we have all these tools available, which are basically you know we can detect every single atom in this in the, in the, which is the trap.
11:43:02 With unit detection efficiency, basically, and we can, we can measure, you know, phases and border parameters and all the way on that.
11:43:13 Okay we, you know, it's just to recapitalize what they can do many would be, you know, you can look at the realization of such a system, go through life phone to regenerate size keeps a sample.
11:43:34 that everything is below here are interesting quantum states have many, many more to produce. And if you can have some product decay and you can you can see that, you know, if you do it right this equal here it says, where you where you will record this for all the spec.
11:43:52 The other thing is that you can make this language model, which is basically by adding a channel coupling. Any for any kind of company, you basically get, you know, following this critical comical seminar you get this very nice additional Armani turn
11:44:01 on it, and you so you have a potential for the sandwich and feed with a full sack with actually causing an interesting thing is that you can basically, we can dial this in in the experiment we can tie the strengths of this, this call center we can dial
11:44:15 experiment and characteristic for that is that it's a very strongly that can be correlated for the liquid is basically because you can measure this connected correlate us with daily basically tells you that that we can measure these things that you can
11:44:33 really verify that the connected poorly this you measure exactly they wanted to predict.
11:44:39 In, in equilibrium and you can see topological expectations. We can also see this directly you can basically we are limited in our, our analysis of correlations, not by the experimental data, but just by the computation complexity of doing that.
11:45:02 And so it's something that is, you know, tells you how much of complex structure, you can do with my dog is interesting to note is that, you know, if you have by now the methods to extract out of this correlates propagate this of vertices.
11:45:12 We have by now the methods to extract out of this correlate as propagate this and vertices. And you see things that you usually, remember on different cosmology and hide your physics you see running coupling constants, running effective masters and everything that has to do with the quantum corrections that
11:45:23 come about, did a strong correlation in the, in the model and we can directly measure them now.
11:45:31 Yes, we can look at and what is other was interesting is there there's some tools, where we can, you know, to really measure the quantum states you basically want to do some kind of tomography.
11:45:43 And so you want to you want to know both worship components of your expectations. And you can do that by quenching into three models and watching and watching the video function rotate, and we can basically reconstruct that and you can you can see this
11:45:56 is the data and this is reconstruction, depending on where you do your reconstruction, even if you do reconstruction right there in the middle, you basically see.
11:46:07 You can you can be constructed there's these occurrences in the, in the system so we have now, lots of tools I think where we can really probe this type of experiment to see you.
11:46:19 Nice.
11:46:19 So the idea is not to really be this type of machines, until we thought about, you know, looking at that, at the different, different primitives what happens if I connect two of those things together.
11:46:32 You have feed flow and if you connect them together and take it just a large liquid, you see a front of heat flow running through running through your system.
11:46:45 And he can go and see.
11:46:48 You know if you compress, or if you decompress, you can see, see the system heating up.
11:46:54 And if you can make a cycle, we can see that, in principle, you can call your system a little bit from from compared to the situation temperature.
11:47:04 So, principle you can you can work these type of machines. Now the question is how can you implement them.
11:47:11 And for that, we have to be able to, you know, Collaboratory control that external position, they sound direction of one dimension quantum fluid.
11:47:20 And you can do that by you know projecting like feeds on to that and you see can make a very long box, you can make you know, various, you can print a single expectation on there and by the way if you do that you can break the expectations on there and
11:47:35 you'll get him damping and it's beautifully described by our extension of, you know, the standard GHD doesn't explain it, because the damping isn't really there but if you take this extended GHD which we published the beginning of this year, you can describe
11:47:49 all the stamping of the 60 patients in a very beautiful way which was just writing things up right now.
11:47:58 And then we can we can compress and make it quarter, but you have to go and do some you know learn to do this in optimum control, and because otherwise if you don't do your control, you get the focusing of your, you create expectations from compressing
11:48:14 it focusing on that.
11:48:16 And we can go and measure local temperatures by looking at the two dimensions at the added to the two point correlated were basically if it take you to that point and look at the outside.
11:48:27 You can see this this this Lawsky ek of the correlation function, you have a barrier somewhere in between you see that this barrier. Basically breaks the correlation if you decouple your publicly, the correlations are completely broken you see that it
11:48:41 goes down by five effects equalization function goes down by five inputs are very small things, what we're learning right now is how do we can measure local temperature.
11:48:51 You know how small of an area can I assume that it's that it has a temperature. And then we learn how to you know what you go press one part, couple of them, put them together and look at look at each other so the next.
11:49:06 The first experiment which is, in fact, we're trying.
11:49:13 Right now, it's not done yet, but you know, looks like the DDC is some of the things that really heat flow going to this you know from one system to the other which will be the first the first step.
11:49:23 So, so basically what you want is you want to verify. First, you're also breaking primitives of this quantum field machine like compression decompression moving spitting the coupling.
11:49:36 And what we now busy develop methods for these local measurements, and then was really, you know, want to start this first thing is that each low. When I took samples, different temperatures and look at the heat flow, and to where it comes from, see,
11:49:50 see what normal copy entity does to that.
11:49:52 How long does it take to really liberate Allah, do recurrences look like if you look at this correlation function higher reparation functions, we can really see something is locally liberal or if it just looks like a temperature.
11:50:06 It has a temperature.
11:50:08 And I think you'd have you think the fan sites in playing around with this with this type of machines.
11:50:15 As I said before, this is why it's interesting. It is somewhat copy entity from coupling. You can look at the console noise and entanglement.
11:50:23 And that brings me to the end of talk so basically the experiments will be done on our chip experiment and the basically the two leads students now are more magic on a dress up you know to basically work on that.
11:50:40 On this quantum thermal machine and particular mind filmmaker collecting on this expectation expectations and experiments and things I guess.
11:50:51 Of course there's lots of theory collaborations with it in there was mostly also Marcus Schubert just joined us again.
11:51:02 Yes, sir. Oh my,
11:51:17 Live from the people listening to it to make the list here. This is a man on the answers, and Michael source.
11:51:23 Good.
11:51:26 So that, I hope that was not lost my time no perfect.
11:51:32 Perfect.
11:51:33 Questions.
11:51:36 Yes Gabriella.
11:51:39 Hello. You're thanks a lot for a really nice talk to see experimenting content tomorrow nomics we need more, many more.
11:51:58 What do you expect a quantum advantage in your terminal machine so over classical machines.
11:52:00 Okay.
11:52:01 What do you, how do you define that.
11:52:05 I mean, one thing that we have is we have advantage should be no, but, no, no, but our back and about the system.
11:52:15 We know more than you would know any classical thermodynamic machine.
11:52:21 If you get an advantage, out of quantum recurrences.
11:52:25 Yeah. And there's no market the entity, then I think we can we can very clearly see that
11:52:32 we can produce entanglement.
11:52:37 If you would see that, you know, looking at an anomalous heat flow not in a trivial way like when we do spins. Yeah, but really in a macroscopic system which have 10s of thousands of atoms.
11:52:49 Because of entanglement I think I would just add as a quantum advantage. Sure.
11:52:56 Thank you.
11:52:58 But I know how you know I'm not the quantum number dynamics person you know i'm i'm playing, I'm playing with adults you know i just i just having fun.
11:53:06 And so the question is that what would be really, you know, one of the, one of the things that we had heated discussions about, you know, how do you measure temperature and how do you measure, you know and what is work.
11:53:21 Because people usually say oh I take my work meter or I take my temperature meter. And as an expected if you tell you know this is completely wrong. The only thing I have is a picture with 10,000 thoughts, and you tell me how you expect temperature from
11:53:35 there.
11:53:36 I don't measure temperature. I measure correlation functions that measure correlate this image of pictures with every constituent of my system is in there.
11:53:47 And so I think you have to start to redefining some of these notions that are, you know, very much, you know, murky Dan murky if because because you, you talk about.
11:53:59 You talk about macroscopic systems and systems and intimate damage limit and go back to the system, go back to what you need to go to quantum measurement directly if you ask the question on the system.
11:54:13 And that's why I said, you know, depending on you know how much information you get out there I think this is this is what he can do with it then if he can get more information out there, much more information about the system that he would happen in
11:54:25 classical don't get me post this and I'm sure that you can get a quantum advantage, but it will come from the contribution.
11:54:32 In the end, and its analysis.
11:54:39 Thank you. Nicole.
11:54:41 Hi, thanks very much for the talk your of it's great to hear about what's coming up next in your lab.
11:54:56 I was wondering, it seems very much worthwhile to do these experiments for the sake of the foundational building of an understanding of the science. I was wondering if you think that any of these quantum thermal many buddy machines have the potential
11:55:02 to be technologically useful.
11:55:07 technologically useful. Yes, I think, if you have understood what they do.
11:55:12 You know, you know, if you look at the talk of joy.
11:55:15 You have this one dimensional systems, it looked like locked into liquid source language models or something like that, in solids.
11:55:22 And if you take a screenshot and a solid you describe it by quantum theory.
11:55:27 Then I think you could transfer the things to some solid state devices.
11:55:31 And then you might be able to look really cool place, or do something or do something like that with it.
11:55:38 But before that we have to understand what they really do.
11:55:41 In the end I think if you can transfer them to something like, you know, very long molecules which behave like a bike and write the quantum theory down or it is impacting quantum field you have some emerging property, which you can map on the think I
11:55:54 think, then you can do something.
11:56:06 So it sounds like using to use might be transferring these techniques to solid states and find a way of cool those. If any envious. In the end, yes but you know as an.
11:56:11 But I cannot directly tell you okay you have to do that and and make your startup company, until you get Yeah.
11:56:18 I learned over my growth experiments to stick with a simple system, and go to understand them because if you just jumped, two steps ahead. You get lost.
11:56:27 Yeah, if you really want to understand what's going on.
11:56:31 And, but for the morning i think it's it's just you know, trying to find the fundamental questions on the step of doing machines, but I think it's not, and it's, it's not crazy to think about that.
11:56:45 If you really know what is required, that you can transfer it to some solid state devices some macro molecule or whatever, did you think about.
11:56:59 any more questions.
11:57:03 Okay, so thank you very much. You're and Monica.
11:57:04 Yeah, thanks for