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The Times Tech Podcast
Bonus episode: Will quantum computing change everything?
00:30:32
Quantum Computing explained
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This episode of the Times Tech Podcast is sponsored by PwC.
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How do you use AI in ways that drive real business value? It isn't just about the tech, it's a new way of thinking going further, faster. This is where PwC comes in. Shaping AI to fit your business to help you innovate with impact, empower your people and accelerate growth. Working with you side by side, bringing deep industry know how with expert change management to unlock real value and drive lasting impact.
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PwC knows how your business works so you can put AI to work for your business. Discover more at pwc.co.uk hello, it's Katie here. We wanted to share a bonus episode from one of the other podcasts here at the Times. Last week I was standing in for my colleague Hannah Previt on the business where we looked at Quantum Computing. It's a tech so many people think could be the next big revolution after AI, but one that many of us really struggle to fully understand. It's a fascinating conversation with James Palace Dimock, who's the CEO of British company Quantum Motion. And we talk about how Quantum could reshape industries from finance to pharmaceuticals. And we thought tech listeners would enjoy it too. This week Quantum Computing its billed as a revolutionary technology, but what is it
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and what will it mean for your business? This is the business where we talk to insiders about markets, companies and Survival strategies to help you navigate the business world. I'm Dominic o', Connell, Times columnist and business correspondent for Times Radio.
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B
And I'm Katie Prescott, technology business editor of the Times, standing in for Hannah Prevot. Our business today is quantum computing. Don't be put off. We are going to try and explain it in human and in English. It's one of those things that's been billed as sort of the next big thing for almost as long as I can remember. But it does seem like it's coming down the track really quite quickly. I mean, we've seen HSBC recently do a trial with IBM about using quantum computing for algorithmic trading. The National Cybersecurity center, terrifyingly, has warned companies that they need to get ready for this because it's going to make it far easier to crack cryptography. So make hacking easier.
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C
Well, and also, there are lots of competing technologies vying to win in this space, and I don't think anybody really knows which one's going to crack it. And of course, for business people who are thinking about this, what does quantum computing mean for them? What should they be doing to prepare for quantum computing?
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B
It's not a subject that lends itself to levity, but, Dom, I've got a quantum joke for you.
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C
Go ahead.
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B
So a quantum particle known as a qubit is lying on a therapist's couch and the therapist says, what's bothering you? And the qubit says, nobody understands me. And such a bad laugh. Obviously not funny. Anyway, I think that is quantum's problem. Nobody understands it.
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C
Well, I think we're going to talk to someone who does, actually, because our guest today is James Palace Dimick, chief executive of of Quantum Motion, a British company, a leader in this field. It's already raised £60 million. So, James, if you meet someone at a party and you say you work in quantum computing and you get a blank look back, rather like you're getting from the two of us at the minute, what do you say to give them a quick entree into it?
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D
I generally start with the that we're making the most powerful computer the laws of physics allows us to make. If we then have to go a little bit deeper and explain why we can make a more powerful computer out of this, I'll tend to also ask them a question which is, do you understand how a regular computer works? And then you can nuance that and then show how the laws of quantum mechanics allow a standard computer to become dramatically more powerful.
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C
So you're talking about traditional computing, and in traditional computing, we talk about binary systems, noughts and ones. But quantum computing is a step past that and it's quite. Or a different type of step might be a better way of saying it.
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D
Yes. Rather than being somewhat constrained by just being on this axis of 0 and 1, quantum computing says essentially that's your classical analog of a computer. But there is a certain richness where you can bring in things like superposition and entanglement, everything that we use to understand quantum mechanics and use that to expand the field of things that we can do with a computer. And so it's kind of the zenith of computing, if you like.
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C
Katie's going to ask you about how your company got started, but just staying with this idea of the development of quantum computing for people listening, what will the first uses be? Where will it start to work and make a difference in people's lives?
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D
Yeah. So building on what we just said, quantum mechanics is a way for us to understand the world at the deepest possible level. Quantum computing in the earliest use cases will be for those. It gives us the eye of God on what's going on at the subatomic level. We can model materials, new chemical reactions. These are the early areas that people have fantastic hope and indeed a good degree of reason for that hope to believe they will be transformative.
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C
When is it going to happen? When are we going to start seeing new drugs discovered using quantum computers?
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D
New drugs discovered, maybe slightly longer, but certainly people are already investigating new kinds of materials. Really the issue is how large the quantum computer is. And I don't mean physically, I mean in terms of the number of qubits and what you can do and explore with that machine. So to do something useful, let's say in materials science, you're probably still looking at about sort of the five year
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C
time horizon, because Katie gave the example earlier of HSBC saying it had used a quantum computer from IBM to do some algorithmic trading. Is that a real quantum computer or is that, you think, just a bit of pr?
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D
I think it's useful for them to use that because they're building up the understanding of how they will use a quantum computer to do that. It's limited. That computer is still less powerful than the world's most powerful supercomputer. But they're understanding how they can use that computer for that small subset problem and then they can extend that. And so it's a very useful thing to do. But no, to say that it's something that's changing or giving them a return on their investment. I don't think anyone's made that claim.
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B
But it does feel like more and more people sort of readying themselves for this quantum revolution. But let's go back to the beginning and the start of your company, Quantum Motion. How did the business start and what was its genesis? Tell us about its history.
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D
Yeah, so it was spun out of Oxford and ucl, so two professors, Simon Benjamin and John Morton and myself, essentially, Simon and John had known each other since they were in the same university. So they were in Oxford. Simon was a postdoc and he'd been fascinated by quantum computing since those early days. But seen as, I think everyone had, that the early ways of realizing small scale quantum computers were things like, let's trap this thing with some lasers, let's shine some light and get individual photons in a very, very large machine. And he and John and myself, we'd seen technologies like that go nowhere. It's very, very difficult to imagine scaling up something to the millions of qubits that you need to make a difference to the world based on those particular technologies. But then what had happened just around about 2016, 2017, was that the experimentation on trapping electrons under individual transistors showed that you could use these as your qubits. There's some fantastic early work, and indeed early work down in Australia, not just in this country. So it's been a global effort. But seeing that work come together with what you could do at a theoretical level really gave us the impetus to say, let's not build a quantum computer that that is the size of a data center based on these other technologies, yet let's use what humanity has again and again shown itself to be incredible at making transistors, miniaturizing them, and putting billions of them onto a chip and turn that into a quantum computer. So all of those sort of pieces had started to come together, and that was the formation of the company in 2017.
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B
Okay, so for the layman among us, could you just explain what a qubit is? I mean, I told my terrible joke about it.
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D
It's always good to hear terrible jokes, right? No. So a bit essentially, think of it like an arrow. It can point up, it can point down. And that's your constraint on your bit. The way that we can broaden that and use all of the power of quantum mechanics to be able to manipulate, that is now, instead of imagining your arrow as a line where it can only point up and down, it can now point anywhere on a sphere. So you can have all of these other states, you can Only still measure a 1 and a 0 at the end of your computation. But all the while your computation is going on, you can have this arrow pointing absolutely anywhere and crucially being entangled, meaning that it has an impact on the operation of another arrow that's next to it. And these are representing your computational information. So that's what a qubit is, and that's how we can use them to expand and dramatically increase the amount of power we get from computers.
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B
Would you just describe what one of your computers looks like? We even put one in the paper actually, the other day because they're really quite beautiful.
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D
Yes. I think we have the only art deco quantum computer available. So at the deepest level in there, though, there is just a single chip.
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B
Right.
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D
So it's a single sort of square centimeter sized object, similar to you would find in your phone. Then what do you need to do to that to be able to sort of unveil these properties? You need to cool it down. And that's so that you can trap single electrons under these, these transistors. And we do that in what's called a dilution fridge. And that's what we've put inside this
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rack, which sort of gold, almost like a gold chandelier.
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D
Gold chandeliers with different temperatures is using physics to cool it down. It's similar to your fridge at home. You just need to have an energy transfer between two fluids and the only thing that stays fluid at these deep cryogenic temperatures is helium.
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B
So that was the idea for the company in 2017, to try and do quantum computing. So smaller and cheaper, essentially. Where are you now with the company? Sort of more than a decade on.
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D
Yeah. So we have demonstrated, we put the first demonstration out showing that you can use standard CMOS process to make a quantum computer. So the way that we make standard chips in your phones. So, yeah, metallic oxide and semiconductors coming together and being patterned on substrates, which is the bedrock of the, of the standard semiconductor industry. And the way that we have the
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B
chips in our phones and have you got customers for that?
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D
Yes. So, yeah, the UK government bought one of these through the National Quantum Computing Center. And, yeah, this was the first deployment anywhere where someone had shown that you can use this process to make a quantum computer. So, yeah, something we're pretty proud of.
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C
Can I just ask a really stupid question? Because you're using what looks like a conventional chip and cool it down and you trap an electron inside it or underneath it or, you know, somewhere nearby.
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D
Yeah.
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B
No.
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D
So, I mean, starting out from a description of how does a transistor work A transistor has three electrodes on it. That's a way to get electrons in, a way to get electrons out, and a way to control them. You know, think of it like a switch. We call that a gate. So in a standard transistor, all of these are sat on top of your silicon, and you will put a voltage on your gate that sucks up a couple of thousand electrons and allows a current to flow from your source to your drain. And that represents whether there's a current flowing or not, a one or a zero in your standard computer. This is the way that computers work. The way that we turn that into a quantum computer is instead of having a higher voltage on your gate, which get a couple of thousand electrons under there, we essentially just turn down the voltage and you get a single electron under your gate, and then it's that spin. So not the charge, but the spin property of that single electron that forms our qubit.
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C
How has the journey from academia for you to business been? Is it. Did it come naturally to you, or is it actually quite odd? You can't sit around smoking your pipe all day.
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B
After all, what are they doing? Quantum physics labs.
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D
Yeah, quantum physics labs.
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C
I saw that film Oppenheimer.
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D
That's what it's all about. Okay, so once I got past the smoking of pipes. Yeah, no, so I actually started out relatively early. So I went straight from Cambridge into industrial R and D. So I worked for Sharp for over a decade, and that was very formative. So during my studies, it was very theoretical. I got a deep understanding of quantum mechanics and how the world should behave. But then when I went into this R and D lab and we transferred technology like new kinds of laser and new kinds of television or new kinds of solar cell and got those fabricated in Japan, I had to understand how to. How to realize those things. It was a magnificent place.
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B
Can I ask how quantum relates to AI? As we're seeing, the huge acceleration in AI advances, massive investments in data centers needed to power AI. Is there some, I don't know, development in quantum that will change the AI revolution in some way, speed up the technology? I don't know. Is there a sort of overlap between the two?
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D
There's certainly ways that both a quantum computer can improve AI and AI can improve quantum computing. But, yeah, starting with your initial question, which is, yeah, how can a quantum computer improve AI? AI is very, very sensitive to the data that goes into it. And we've heard this about ChatGPT mining the entire data of the Internet and then other companies mining ChatGPT for their data. But we've got to a point where these companies have mined almost all of the data that's out there. And so using a quantum computer to generate data is one of the key ways that we can enhance it. So take for example, materials modeling. If you want to generate new kinds of material using artificial intelligence, you need to have a large database that tells you how materials behave, what are the properties of them. We can generate that data using a quantum computer, essentially looking deeply understanding material with the eye of God, so that you know all of its properties, get that incredibly clean data, put it into a quant, into an AI inference or LLM, and they will then generate new kinds of materials based on that very, very good data set that you've put in. So that's one example that people are looking very, very carefully at, is how can we carry this out to accelerate AI materials generation.
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B
There has been some talk apparently, that quantum computing will break the blockchain and destroy crypto as we know it. Have you heard this? And is it true?
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D
So it's one possible extension of what a quantum computer can be used for. It's been demonstrated that you can factor large numbers, and this means that you can attack certain kinds of encryption. And the early encryption method that they used to secure Bitcoin, for example, would be amenable to this kind of attack. You would be able to break that particular code. There are ways to get around this. You can obviously replace the way that you encrypt these kinds of currencies. And indeed, this is what's been going on for the past 10 years inside our own government and elsewhere is gradually replacing the kind of methods of encryption with ones that aren't amenable to quantum attack.
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B
Okay, so it's possible. It's possible, right?
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C
From what you're saying, that it sounds like quantum computing is not going to replace traditional computing. It's complementary to it, not a replacement for it.
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D
That's exactly correct.
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C
So what kind of jobs will it do that conventional computing can't do, and what businesses will want to use it?
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D
So, yes, I was talking about understanding materials at a deeper level. Why is it good at doing that? Precisely because the qubits have the same kind of properties that the subatomic particles that make up your materials have. And so it can model them in a much deeper way than our sort of surface level understanding the way we model them with classical computers can. Now, there are other classes of problem that are analogous to that. Some in the financial markets, for example, you have these massively interacting systems that can be thought analogous to the massively interacting systems that we have in materials science. And if you can use where people have in derivatives pricing, for example. Indeed, we've done an assessment of using a quantum computer to improve and speed up derivatives pricing for Goldman Sachs. So these are concrete areas, but all based on, you know, where do you have these very largely interacting systems of things. Doesn't have to be electrons or subatomic particles. Those are the kind of areas where quantum computers are very likely to have an outsize impact.
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C
So big chaotic systems with lots of inputs. But do you think of it? Should I think of it like I would think of a normal computer? I've got this difficult derivatives trading book. I want to put in all the inputs that might influence it and my computer will work it out for me. Or is it actually doing something deeper than that?
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D
It's carrying out things in a very different way. So the way that a quantum computing algorithm works, you know, many people sort of come away with the notion that it's, it's giving you all of the possibilities at the end somehow and that that's not, not really the right way to think about it. It's more that you start out with the same sort of input data. And again, ideally with a quantum computer that's as small an input data set of data as possible. And then during the computation we're, we're adjusting the probabilities of the output data. And so using this kind of interference that you get in quantum systems, we're reducing the probabilities associated with the kinds of output data which we think that's definitely not the answer. And so rather than getting one single answer out saying, you know, that's it, we've got it, chaps, it's, you know, with a high probability. These are the kinds of output that we think are likely from this calculation. These ones are much less likely because during the calculation, as I say, you've interfered these quantum particles, such as to reduce the probabilities of those outputs dramatically. That's a better way to think about how a quantum computer is working.
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C
Yeah, I'm nodding along, but for the Goldman Sachs trader, it may not make them a billion dollars at the end of the day, but it might stop them losing 2 billion.
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D
There are potentially no, no. So there are ways for them to understand derivatives pricing better through this as well. It's not just about risk mitigation, but you're right in saying there are some examples where managing risk has also been identified as a good way to use A quantity.
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C
There are lots of competing technologies in quantum computing. What will decide which one becomes the VHS rather than the btc?
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B
Yes, exactly right. So you're dealing in silicon and others are using other methods.
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D
So yes, obviously I have my degree of prejudices, but I'm glad that you put that out of the way. It'll be economics as it is with, I hate to say it, it will be that dull. Eventually a quantum computer will be a commodity and people buy, you know, the commodity that has the best value for them. And that's precisely the reason why we're in this area. It's not that I don't think that a quantum computer made of any of these other approaches will work. Indeed, I think there's fantastic evidence that, that all of them can get to these million qubit machines. But in many cases those become billion dollar machines that you put in a data center of their own. And that just has a very different sort of economic return compared to one which is three smallish racks which you can do for a fraction of the cost. That's where I feel we have the advantage.
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B
And as we're on the subject of competition, I'd love to hear your reflections about what it's like to be facing the challenge of big tech because there are some really, really big players in this space, right. IBM, Microsoft, Google, all who are announcing breakthroughs all the time. What's it like looking at that from a startup in the uk?
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D
I mean I've had a background in big tech so I had a decade working sharp at that point they were 50,000 person company, so I know how things work inside and it's often siloed. R and D is sometimes harder. You still have to fight for the resources to get your individual projects done. And so that's, yes, they've got large budgets, but we have the ability to move incredibly quickly. Obviously we're in a competitive market, but I don't. That's not the thing that keeps me up at night.
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B
And do you think an exit for you inevitably means a sale to one of these companies? I mean, we saw Oxford Ionics being sold to Ionq, which is one of the few publicly listed quantum businesses, but based out in the States. I mean, is that the natural move?
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D
No, no, I don't want to be bought by another company. I want to be an enormous UK success story. In all honesty, we've grown this company since the very beginning knowing that building a quantum computer and building a large company is what we wanted to do. And we're very fortunate that We've had very strong support from our investors along the way to do that. So I think, yes, you're right. There's examples where quantum computing companies have gone public for better or worse. I think until you're doing substantial revenue, there's still a question as to whether you should stay private or public. And I'm very happy that we're private still.
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C
You've raised about £60 million so far. What kind of funding is needed? What do you think the spend will be to realize that vision of a large quantum computing company?
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D
Well, the big benefit of the way that we're doing it is we're very capital efficient, so we don't need to build our own foundries or have clean rooms. Indeed, inside our offices, we use the multitrillion dollar semiconductor manufacturing industry. Essentially, the next stage for us is 100 or so million. It's not into the billions. And that lets us get up to a point where we've demonstrated all of the key features that you need for a large scale quantum computer. Obviously at that point then you're scaling up like an integrated circuit company. And so there's a need for perhaps into the hundreds of millions of pounds. But you're not talking about needing funding of multiple tens of billions like you would if you wanted to put a rocket on the moon, for example.
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B
But it has been an amazing week for British AI investment announcements. I mean, probably most notably $1.5 billion into Wave, the driverless car business. And we've seen recently the likes of 11 Labs valued at $11 billion, another AI company, Synthesia, valued around four and a half billion, another AI company. Do you find that Quantum is in the shadow of AI at the moment, that it's the hot topic and that's where investors want to put that cash?
- [25:20]
D
There certainly has been a massive buzz, I think, I don't think anyone can deny that around AI. And with the mega IPOs coming later on in the year, that that's likely. Yeah, yeah, I don't know anything about that. So I'm definitely not giving any advice there.
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C
No.
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D
So inevitably that's where a lot of the capital has been pushed over the past couple of years. But I feel like quantum, it's still well funded, it doesn't need as much funding, there aren't as many companies and there's a much higher bar to enter quantum computing than there is to enter AI. So I still feel like it's very well supported from private investors, from public investors, and you've probably seen that in the share prices of some of these public companies, there's still too much money for the amount of opportunities there are out there. So I think we're in a very good position.
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B
And it is one of the industries that's considered sensitive by the UK government. I mean, is there a sense in the sector that there's a geopolitical race going on between Britain, America and China, for example?
- [26:20]
D
Yes. Yeah. I don't think that anyone could say otherwise. I mean, the UK government and the US government get on very well. Quantum was at the core of the partnership that they put together recently. And indeed we're in the DARPA program and that's been very well supported by the UK government. So I wouldn't say that there's a sort of, yes, it's competitive, but kind of friendly competitive between UK and us. China's another matter. But they're equally making fantastic progress. And, you know, I do still wish that we could somehow get on better as a world, but I'm not going to be able to solve that. So, yeah, we just have to accept that it would be challenging for a Chinese company to operate in the uk, or likewise a UK company to operate in China, and that's just the world we live in.
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C
I quite like the ambition, though, the idea that you could be, you know, the uk. Well, I'm putting words into your mouth here, perhaps extrapolating a bit, that you could be the UK's tech titan that it never had, the UK's Google. Is that really part of the vision?
- [27:21]
D
Yes, absolutely. We are world leading. There's a reason why we're on the DARPA program. We were selected amongst hundreds of companies
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B
and that's the US Moonshot program. So it's like the most advanced technological ideas that they're investing in.
- [27:36]
D
Yes, I think this was important. The question that the DARPA program asks is not can we build a quantum computer? It was, can we build a quantum computer that's worth building? And very much back to that point of can you actually get a return on investment that you're not just building something that's the size of a factory and costs billions of dollars? Or if it does, is there a billion dollars worth of return at least, that you can have from such a machine? So it was a very important question. Yeah, they've put a lot of funding into this because I guess DARPA's whole modus operandi is we do not want strategic surprise. And what more strategically surprising than to find out that your competing countries have the most powerful computer? The laws of physics allow you to make.
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B
And DARPA was responsible for the Internet, driverless cars.
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D
They've done a pretty good job of finding new technologies.
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C
Lots of interesting defense stuff as well. So perhaps just to finish it, because you did say this. So you make the breakthrough, you become a tech titan. Bill Gates turns up and offers you a check.
- [28:41]
B
I think he's Persona non grata.
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D
Now.
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C
Jeff Bezos turns up and, well, maybe
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D
not him, but you're struggling to find billionaires now.
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C
Elon. No, not Elon Musk. $50 billion check. Can you really say, actually, we're going to be able to say no to that because we want to be independent? Because you have external investors now, they'll have a view. But the idea is you don't want to. You want to be independent.
- [29:06]
D
Yes. And we can and have said no to people coming and offering. The number of times we've been offered to SPAC or something else is, you know, you probably get a couple of people a week writing to that. And so obviously you think about that. You have to present it to the board. But the right option for us is to make sure we continue growing.
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B
Thank you very much, James Palastimick from Quantum Motion. It's been brilliant to have you on.
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D
Thank you.
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A
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B
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D
Now.
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B
This episode of the Times Tech Podcast is sponsored by PwC.
- [30:06]
A
Every leader is looking for that next opportunity for growth. But as technology and AI reshapes entire industries, the path forward isn't always clear. This is where PwC comes in, helping you put AI to use in ways that drive real big business value. Working alongside you, bringing the deep tech expertise, AI capabilities, strategic insight and industry knowledge you need to innovate with impact, empower your people and accelerate growth.
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PwC knows how your business works, so you can put AI to work for your business. Discover more@pwc.co.uk hi, this is Farnoosh Tarabi from so Money with Farnoosh Tarabi.
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D
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- [31:48]
C
Well, I feel slightly like I've had the veil lifted on this magical world, which I was able to glimpse for a minute and not quite grasp. But in terms of the more sort of business side of things, I thought it was very interesting him saying that really they don't need too much money at this stage. At the minute they're quite capital light. They're not going to be making loads of stuff. So they're not in competition with the big tech titans and this rush of money into data centers because they don't really need all that. Yeah, they're doing something quite different. And also this idea that quantum computing is not a replacement for traditional computing, it's going to be doing something complementary and different. So I think this idea that quantum computing is going to race and swamp all these data, that's not going to happen.
- [32:30]
B
No, complementary, different, but really, really powerful. And certainly I'm hearing lots of businesses at the moment worrying about it and thinking about it. I mean, our recent tech summit we had the CIO of bt. It's something they're looking at. You know, critical industries here, as I said at the start, have been warned by the National Cybersecurity center, look, you've got to get ready for this because it is going to mean that hackers can break your code almost instantly. So it's just going to change things in a really revolutionary way. And I think very, very quickly. The Cybersecurity center was saying companies need to be ready by the end of the decade. You know, it's a few years away to wrap your arms around something that is extraordinarily complicated. I thought James did a brilliant job, by the way, of explaining it in, in human and English, which is not easy for a quantum physicist, but still, it does kind of blow your mind.
- [33:17]
C
Yes, and obviously it is nationally important. This is a question of sovereign capability. He talked about the Americans being in friendly competition with the uk but also China as well. So clearly governments around the world are thinking about this very carefully and they don't want to be caught out.
- [33:33]
B
No, absolutely. I mean, IonQ, the American business, which recently bought Oxford Ionics, had to go through a massive process, process with the British government looking at, you know, it's a critical industry and, and they're, they're our allies. So yes, it is extraordinarily sensitive and something that is coming down the track, I think, pretty quickly.
- [33:54]
C
I'm Dominic o', Connell, columnist at the Times and business reporter on Times Radio.
- [33:58]
B
And I'm Katie Prescott, technology business editor of the Times and host of the Times Tech Podcast from the Times and the Sunday Times. This is the business and if you enjoyed this interview, you can subscribe to the Times business channel on YouTube and you can watch or listen to other episodes of the Business wherever you get your podcasts.
- [34:16]
C
We'll be back with you next week with all the analysis from the Spring statement. Until then, goodbye.
- [34:29]
B
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