Good morning, Sam.
Good afternoon to you, Michael.
βIf you could be in two places at once, where would you be and what would you do?β
Uh, I feel like I would probably be on vacation and also able to work at like the same time. Um, yeah, something like that. What about you? I think that's the only correct answer, Sam. I would be on a beach somewhere, uh, or an amount in somewhere and also work.
And the reason why I'm asking this is that we are doing an episode all about quantum computing and the ability to be in more than one place or in this case, quantum state, more and that later, at once. And it's one of the fundamental aspects of these computers.
Buckle up, it's going to be a slightly mad episode, so I do hope you're ready.
I'm Michael Badd. I'm Sam Gerald, and welcome to Technology Now from HPE. Quantum Computing has been around for a while, coming and going from the news as breakthroughs are made. Now originally conceived in the early 1980s, it's captured the minds of technologists and
the general public alike. Given that we don't have quantum computers at home, it feels like the technology hasn't
βactually moved all that quickly, like it has with regular computers, right?β
Yeah, yeah, absolutely. Quantum computers are quite a bit more complicated to build than a regular computer.
In fact, the 2025 Nobel Prize in physics was actually awarded to three men for their work
in the 1980s on superconducting quantum circuits, which laid the foundation for quantum computing today. But despite their complications, the number of quantum bits, the quantum computer equivalent of a regular bit, has been doubling every year since 2018, and the trend is expected to continue for the next few years.
So while we aren't necessarily seeing results from them which directly benefit us yet, usable quantum computers are likely just over the horizon. So to find out more about quantum computing, and to lay a bit of a granular, if one on a show will be many more quantum computing episodes to come, I spoke with Dr. Michaela Ihinga, a product solution physicist at quantum machines.
But before we chat to Michaela, you mentioned superconducting quantum circuits earlier. Superconductors tend to need to be cool to absolutely freezing temperatures, so I thought it would be interesting to take a look at how exactly we can do that. How do we create the coldest places in the universe right here on Earth? It's time for technology then.
So superconductors need to be cold, right? But how cold can cold actually get? Michael, you've heard of absolute zero, right?
βI remember from my GCSE physics, I think it's minus 273 degrees centigrade, I don't knowβ
Liz and Fahrenheit, but cold. Very cold, right? But do you know what it actually means? Like in physical terms, what does it mean for something to be at absolute zero? I think it's where particles stop moving.
So whether that's atoms or whatever, but like the colder it gets, the less stuff moves. I think that's what it is. So absolute zero is the coldest possible temperature. If you wanted to put a number on it, it would be negative 273.15 degrees Celsius, which is negative 459.67 Fahrenheit, or simply just zero Kelvin.
If you think of heat as just another form of energy though, then at absolute zero, there's no heat energy left at all. It still has a quality known as zero point energy, which is like a base level vibration in the atoms themselves, but in terms of energy, which can be removed to lower the temperature, there's nothing left.
So why do we care about this? Well, this is an episode about quantum computers, and one of the biggest issues these computers face is that the quantum bits are inherently unstable. Cooling them down until they are close to absolute zero helps keep these quantum bits stable.
Unfortunately, quantum computers need to be colder than outer space, which clocks in at a toaster minus 270 degrees Celsius, which is minus 450 degrees Fahrenheit. So how do we cool our quantum computer? Well, we use a dilution refrigerator, a device proposed back in the 1950s, which mixes two isotopes of liquid helium called helium 3 and helium 4.
The dilution refrigerator uses a quantum mechanical process called phase separation. The cool things down when the helium 3 is added to the helium 4, it absorbs the energy
Out of the helium 4, forcing that temperature to plummet.
Because super cold helium will not freeze under normal conditions, we can cool it more
and more in the dilution refrigerator until the temperature drops to just like 5 to 10 to the Kelvin, at which point our quantum computer is nice and cold and ready to go. And I thought I was smart by having my TV just controlled with one remote. That is my next little smart. Now, the super cold components are just one part of a quantum computer.
βSo to find out more, I spoke with Dr. McKayler, I think a product solution's physicist atβ
quantum machines. And the first thing I wanted to know was simply, how did she get to where she is today? So, my background is in experimental physics, I did a PhD in so-called superconducting qubits. And then during my PhD, I already was very exposed through friends to the deep tech industry
and community and I've got very interested to join a startup and learn more about product development, business development and these kind of things. And now I get to basically sit exactly at this intersection between your research and science and product and business development.
Because quantum computing has always felt quite theoretical, but are we saying it's
now maybe moving from being theoretical to being something that is starting to have some practical applications.
βSo maybe let's take this statement a little bit apart because yes, I think 30 years orβ
40 years ago, quantum computers are building devices based on the principles of quantum physics was very theoretical. And so the past two decades, especially, many, many labs and companies around the world have been trying to build now a quantum computer. And then of course, it's still this open question when is it useful.
So we're still at the very early stages of building large-scale quantum processors. But we're seeing already very novel applications, especially when it comes to exploring novel and new physics, for instance. Okay, well, I think that leaves us really nicely to try and do something nice and simple and explain quantum computing in under 15 minutes.
This is written by my producer, producer Harry is also a physicist. So let's start with the quantum mechanics 101 and define a few terms if that's okay. So let's start with a quantum computer. What is a quantum computer? So I would say it's a new species of compute.
So it's a device that is built on the foundational principles of quantum mechanics. And because of that, it gives us very unique new capabilities of solving problems that we haven't solved before.
βYou mentioned the phrase "acubit", what is a "acubit"?β
So the fundamental building blocks of such a quantum computer are so-called quantum bits or "cubits". I really like the light switch analogy. So a classical bit can be on or off 0.01. But a quantum bit is more like a dimmer switch, where you have, of course, also on and off.
But there are many, many states in between. So the quantum bit can have all of these in between states. And we refer to this also as the quantum bit being in superposition. But this is very theoretical still. So what is a quantum bit if we're talking about hardware?
And there it gets actually very interesting because we have many, many systems in nature that can be a quantum bit, but we also manage to artificially engineer and build quantum bits. So I understand the principle of a traditional bit is either on or off. And so you can use that to make calculations or you can do useful things with it. But I don't really understand how it would be useful to have something that could be on
or off an infinite number of positions between or off. How can you actually do anything useful with that? If you think about a simple problem or how a classical computer works, right? You have all of these 0s and 1, these classical bits switching back and forth. And it's all a more serial process of finding the solution to a problem.
And of course we have GPUs where we can do many of these processes in parallel. But intrinsically it's still serial processes that try to find a solution to a problem.
And a quantum computer is fundamentally different because you can basically bring a quantum
bit in this superposition of many, many states and have a multidimensional space and parallelism that comes from the quantum bit itself and this superposition characteristic. And then there is one other characteristic that matters a lot is that you can also
Entangle multiple qubits.
So what is entanglement?
It just means that you can have multiple qubits and their state can be correlated to each
other. You know, you cannot find this in classical bits. But also this correlation across many distances give you a novel way of thinking also differently about a problem and utilizing this for a computation. OK, my head is slightly hurting, but that's OK.
I knew this was going to happen, but problems are like a good to use a quantum computer for. Yes, so I think if we think about nature and the principles that you know, everything is spilled up on. So nature is fundamentally quantum mechanical.
βSo of course it's just natural if you want to simulate nature, simulate molecules, modelβ
new materials, new drugs, that we do this with the quantum computer because the quantum computer is fundamentally also built on the principles of quantum mechanics. Can you give any practical examples of what a quantum computer would be much better, much faster, give you better results than a traditional computer? We have novel materials, so-called superconductors, which allow you to have an electrical
current that runs without resistance. And unfortunately, these properties only pop up below certain temperatures.
So right now we need to cool these metals to below their so-called critical temperature
to exhibit these superconducting properties. So there is the hunt for superconductors at room temperature, but this is a very hard physics problem. And quantum computers can actually help to find materials and material combinations that might exhibit this property at room temperature and then it really revolutionizes everything
that utilizes metals and that could benefit from superconductors. The little problem we talk about sounds like the sort of problems that we say that AI is good at. So the AI uses traditional computing, but it's approaching problems in what sounds like a similar way to a quantum computer.
How does those two relate to the compete?
They actually don't compete.
βSo first of all, AI is still built on traditional compute, right?β
And what is very important and often misunderstood is that we actually need a lot of classical compute for the quantum computer. So these days we actually already also collocating our quantum computers in data centers in HPC centers because we need classical compute and AI to actually operate our quantum computer.
So it's an integrated architecture that we're building and we're working towards what we call a quantum supercomputer actually. So the big goal is actually a quantum supercomputer where you have AI and quantum working hand in hand, amplifying each other, and it can go in both ways. It's AI for quantum and quantum for AI.
You will find use cases for both sides. So they work in tandem, like a work in tandem. So how do you actually build a quantum computer? Because I think this is the thing that I think is maybe the most interesting part of this conversation because we've had conversations about quantum and quantum computers on the
show before. And again, it was sort of quite a theoretical, but actually I'd love to practice with you understand what are the building blocks. It's an excellent question and the great thing actually there is their multiple correct answers to these questions because there are multiple ways how to build a quantum computer and
it goes back to having these multiple options of how to realize a quantum bit. So there for instance, in nature, atoms and ions, they already can be utilized as a quantum bit. These types of quantum computers that are built to me they look quite messy because you walk into a room and you see a lot of optical components standing on mirrors and lenses
and lasers. So it's huge infrastructure to trap multiple atoms and then control them via laser beams. And then on the other hand, which is maybe natural for many of the same conductor industry and also more natural to me is that you really have a silly concept. You make electrical circuits on it using semi-conductor fabrication technologies, but
βthen you need to cool this chip to very cold temperatures, so much colder than outer space.β
And so you need this infrastructure to cool it. So it looks like a big, big box that hangs often from the ceiling, but it actually allows you to put the chip at the very bottom and have it cool to below minus 273 degrees Celsius.
This is just one part of the story because we have the chip, but then we need...
this chip, right? Just having quantum bits on a chip doesn't give you a computer. So we will have many signal lines and cables going down to this chip and then at room temperature, we will have boxes that generate signals that go down to this chip and back up and that actually then perform and apply an algorithm, for instance.
There are quantum computers that exist today that you can do something with, then we're just theoretical there, there are actual things. There are actual things and you will find them in many countries and in many companies and in many labs and typically you can visit them quite easily as well or even access them online these days.
What are the challenges with scaling it, could you just put some more chips, get some more hanging baskets?
There will be the great thing and we're doing that, but the problem is that intrinsically
a quantum bit is a very fragile system and it's very sensitive to its environment. On one hand actually we would not like to isolate the quantum bit as much as possible, but then there is the straight off because we want to do control and computation with it so we need to connect to it, but that of course also induces error, it can destroy the quantum state.
So the problem is to actually scale to many, many cubits and keep the system alive. So this is one big issue and the more you scale, the more engineering challenges that you have.
βAnd how big are the computers that quantum computers at the moment in terms of cubits?β
So there is a variation for instance on superconducting cubits we are in the range between 100 and 300 and then we have neutral atom computers where we trap neutral atoms and there
we are actually already in the thousands, but they they have different kind of capabilities
and connectivity, but so in general we cannot say that one modality is winning over the other because they all have currently their advantages and disadvantages. From a practical sense, I guess from an organizational perspective, why is quantum computing something that organization should care about? I think this goes back to it being a new species or a new flavor of compute.
Any kind of company that actually uses high performance compute, I think will benefit in the future from working also with quantum computers because they are already trying to solve problems in a space where quantum computers will be naturally good at. I've been to like, it's not likely you'll be doing word processing on a quantum computer because it's not great that it's like playing to its strengths.
Exactly. So you will also not open your email, you're seeing a quantum computer. Far out of my console computer in the morning, hey, for the way emails. Maybe the email is there, maybe it isn't. Would a quantum computer be integrated into an existing system?
I think that's exactly the return. We're also now in the quantum space, talk about classical compute as an accelerator for quantum compute.
βAnd that's why we will see this co-integration more and more.β
Interesting. Would you run AI on a quantum computer, is that an application that would be great for? So there is a field that is explored, which is called quantum machine learning. So that is actually running AI on a quantum computer. I think this is also still, it's a bit controversial as well.
I would say in the community, but there is heavy investment in exploring this avenue. OK, so we ask, we ask all of our guests that we interview about quantum computing this. What do you see as the timeline for a quantum computer? Like are we in a bit of a quantum's arm race, so to speak? We are definitely in a quantum's arm race, their every country or so many countries now
have a national quantum initiative. There's lots of government funding and private funding has been on the rise for this field as well. And what I've been seeing as well is export regulations, even on smaller quantum computing systems, right?
So there is big national and global interest in building a large scale quantum supercomputer.
βSo the timelines, I think, everybody is trying to get really something useful done byβ
the end of this decade. What makes you most excited about the possibilities of a quantum computer? So because I'm an experimental physicist by training, I'm very excited about pushing the field of physics forward and discovering really new materials, I think, and in high temperature superconductors.
OK, it was an absolute fascinating chance. Thank you so much for coming on to technology now.
Thanks for the incredible really enjoyed it as well, thank you so much.
When anyone talks about quantum, it is one of those things that I feel goes way, way over my head, even when they're trying to bring it down to my level.
I do appreciate that you guys had sort of a discussion on how do you even bui...
things?
And what it seems to me is temperature seems to be the piece that seems to come back to everything
here. We need the quantum computers to be incredibly cold, but then quantum could help us discover room temperature superconductors. And I feel as though it's all kind of less cyclical to some degree. I'm about quantum labs.
I've got really good ice cream because you're right, like everything's all about keeping stuff cool, isn't it? I did find the analogy of the dimmer switch to be quite helpful to wrap my head around what is meant by a qubit. So that is a normal bit, it's just a normal light switch on or off, one or zero.
Whereas a qubit is a dimmer switch, and that is what they call a superposition, so it could be one, zero, or any number in between, it's just, it's quite fascinating, but it's
βalso quite daunting, I think, as a topic, to sort of wrap your head around.β
I think we're going to be doing some more episodes on quantum computers, I think. But I also found fascinating was that quantum computers aren't just theoretical, they're actual things that exist, and I saw some photos of quantum computers from some other companies. And yeah, I think I described it into as a hanging basket, and I think that sort of looks
like to me, it's like this big almost like dustbin, hanging from the ceiling, all these wires coming out of it, I'm guessing to keep it very, very cool and full of connectivity. But yeah, they exist today, and they could be accessed online, so they're a cloud quantum computers. Yeah, that's crazy to me, and does that mean like, what, I could go to like a site for
them, and then probably not leverage it, but I guess maybe you can watch people, never
urging them.
βI think when we, I mean, to feed Antonio Neary back in December, I think he mentionedβ
that, you know, a quantum computer being an accelerator for a classical computer. Yeah, he did, and I think that, whenever we talk about these individual pieces, it always kind of also comes back to eventually them all, sort of working together, like her mentioning that they need to be located in HPC data centers, because it needs classical compute, but then also to accelerate it, but then it needs classical AI to operate.
It feels like it's all kind of a glimpse into a future where these things are not separate, but they're all part of one giant powerful system. Exactly. Yeah, I agree with you on that. So, Sam, earlier on, you mentioned us not having quantum computers at home yet, and
actually that was something I want to do, I'm asking, okay, like, given that the advances we've seen in the quantum computing over the past few years, will we ever have quantum laptops at home? So, quantum laptop probably not in the near future, just because we also don't have high performance, you know, computers, supercomputers at home.
It's very big and bulky, so I don't see in the near future this being, you know, collects to a little laptop, and it's probably also not necessary, but then the quantum cloud actually we do have a quantum cloud, because many quantum processors can be accessed via the cloud these days to also push the research and push and accelerate the progress on these devices. Okay, that brings us to the end of technology now for this week.
Thank you so much to our guest, Dr. Michaela Ikinger, and of course, to our listeners. Thank you so much for joining us. Yes, and if you've enjoyed this episode, please do let us know, write and review us wherever you listen to episodes.
βAnd if you want to get in contact with us, do make sure you set us an email to technologyβ
now at hb.com. There are so many subject-line options, subject-line, super-position, or dimmer switch, both those of them.
And of course, don't forget to subscribe so you can listen first every week.
Technology now is hosted by Sam, Gerald, and myself, Michael Bird, and this episode was produced by Harry Lamput and Izzy Clark, with production support from Adisha Kempson Taylor, Becky Bird, Elissimetry, and Renee Edwards. Our theme music was composed by Greg Hooper. Our social editorial team is Rebecca Wissinger, Judy N. Goldman, and Jacqueline Green.
And our social media designers are Alejandra Garcia, and Ambar Maldonato. Technology now is a fresh air production for Hewlett Packard Enterprise. We'll see you at the same time, the same place next week, cheers. Bye, y'all! [BLANK_AUDIO]



