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It's not in academia anymore, 
and I think that 2025 was the 

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inflection year. 
What? 

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Happened in 2025. 
The money flowing into Quantum 

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has grown 5 or 6 fold from about
2 billion to above 10 billion. 

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But it only takes one commercial
case study, one with the whole 

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the whole sector moves. 
HSBC was September 2025 and they

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reported something like 30 plus 
percent improvement. 

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And if you were their 
competitor, you'd have to follow

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because you can't. 
Otherwise you will be left 

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behind. 
Bass line. 

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The bass line is designed to 
create an emotional response. 

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I've seen things you won't 
believe. 

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I'll start with an easy bit. 
Why the dedicated funds are 

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being set up is because of the 
flow of money, inflow of money 

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and particularly 2025 was a 
critical year for for quantum. 

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First it was 100th anniversary 
of quantum mechanics which was 

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then the year was called the 
year of Quantum. 

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But coincidentally the money 
flown into quantum has grown 5 

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or 6 fold from about 2 billion 
in 2024 to above 10 billion. 

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Hence, of course, the interest 
from investors who see that 

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there is money coming in and 
also there is industry 

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consolidation, some 
acquisitions, for example by 

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INQ. 
So that's easy. 

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Then in terms of why Quantum is 
exciting, again, you've 

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mentioned IBM and according to 
IBMCEO, he's saying that Quantum

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is genuinely first innovation in
computing since 1945, because 

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previously everything was based 
on bits. 

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And now the possibilities when 
you use smaller particles like 

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atoms or artificial atoms are 
exponentially, hence the name in

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quantum exponential are 
exponentially larger because 

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that allows you some 
extraordinary new capabilities. 

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So it's not to say that so 
components of a quantum machine 

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is not any different to a 
component to your traditional, 

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traditional computer. 
So you still have opted 

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electronics, photonics, lasers, 
even, you know, cryostats, 

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everything that I have been 
using in my PhD 25 years ago in 

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laboratory is was there at the 
time. 

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But it's how you put those 
things together and how do you 

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create those complex algorithms 
which could attack previously 

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unsolvable problems. 
So that means, so there are two 

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types of problems that quantum 
is specifically good at and they

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are the, you know, the high 
value, high value applications. 

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So the first one is optimization
and optimization, of course, can

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be optimization of anything. 
The classical problem is the 

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travelling salesman 
optimization. 

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So travel and salesman route 
find the best, perhaps not the 

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best, but fairly good optimal, 
several optimal routes to get 

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from A to B and it could be a 
physical or packets of data 

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etcetera. 
So you can optimise that. 

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But it found its way into 
finance where there are a big 

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revenue ready to be optimised 
such as you know bid offer 

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spreads in portfolios like HSBC 
has shown. 

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So optimization is an important,
an important algorithm that 

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quantum could do potentially 
better than classical computer. 

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And 2nd is simulation, 
simulation of anything that is a

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quantum body, which means 
anything to do with molecules or

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atoms or electrons in it. 
So hence again, you could you 

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could use it in different 
industries, you could use it in 

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energy, you could use it in 
chemicals. 

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But so far, healthcare and the 
pharmaceuticals seem to be the 

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the applications which are being
explored the most because that 

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is where the biggest R&D budget 
is available to be optimised. 

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And here you have potential 
utilisation revenue enhancement,

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so to grow your revenue as well 
as to reduce costs. 

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So for example, if you use it 
for molecular optimization, it 

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can work in conjunction with an 
AI. 

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For example, you're trying to 
understand a protein or a gene 

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which is responsible for a 
particular disease. 

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And then the task which quantum 
computer can do very well is how

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do you design A molecule which 
attacks that specific gene or 

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target have a spike in that 
particular place out of millions

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and millions of different 
combinations. 

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And quantum computer being the 
quantum system itself can solve 

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this very efficiently. 
So again, components by itself 

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is not faster, but certain type 
of tasks it can do much faster. 

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And it's not to say that it's 
going to be everywhere. 

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It's not going to be probably in
your mobile phone anytime soon. 

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Because probably, you know, you 
could do it much faster with, 

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with your normal Linux computer.
And if you can do it with a 

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classical computer fast do it 
because you know, it's, it's 

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very sophisticated devices with,
you know, billions of, of 

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computational units in each, in 
each CPU or GPU. 

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So you can do it with a 
classical, do it with classical,

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but there are some big, big 
value tasks which are better 

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addressed in theory with 
classical. 

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That's where research is going 
to, and that's where you have 

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emerging new case studies. 
Where? 

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Where have we seen objective, 
unarguable success or movement 

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of the state-of-the-art? 
Yeah, based on quantum. 

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So you have something what 
people call quantum advantage 

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and that's when you are, you 
have a useful task which is 

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better, more cost efficient, 
more cost efficiently performed 

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on a quantum computer as opposed
to a more sophisticated 

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classical computer. 
And again, talking about IBM who

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arguably are the leaders in the 
space, 2026 is designated As for

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them by them not designated, but
they say quantum advantage is 

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2026. 
So again, I've mentioned that 

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there was a big flood of money 
into Quantum in 2025 and that's 

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because those commercial case 
studies have started to appear. 

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So HSBCI think that was 
September, September 2025 when 

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they've optimised the fixed 
income portfolio bit bit of a 

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spread and they reported 
something like 30 plus percent 

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improvement on that algorithm 
they used on IBM machine. 

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And then before that was modern,
I think in July, which also, if 

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I'm correct, used IBM machine to
say that they they were able to 

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use it for the, for the next 
Amarna vaccine. 

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And of course, I mean, it's, 
it's a big, big industry. 

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And that would be the perfect 
application where quantum 

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computer is suited for because 
it's exponentially improved the 

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capability of modelling those 
molecules. 

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Before that, again, I think 
AstraZeneca used Continuum 

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machine for, for similar 
application for, for designing 

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new molecules. 
And so that's the healthcare 

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applications. 
There were also some big cases 

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in finance or HSBC already 
mentioned that optimization 

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task. 
And of course, at the beginning 

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you mentioned that security or 
encryption is, is a potential 

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potential opportunity. 
And that probably is the most, 

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the highest profile use case for
quantum computer where people 

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are saying that perhaps 25% of 
bitcoins are not safe. 

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And because you can, you can now
target the public encryption, 

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public encryption key and 
perhaps the possibility of that 

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happening within next five years
is maybe 30%. 

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And by the way, it's moving, 
it's increasing, increasing 

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specifically last month's Google
announced that they need 

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significantly less number of 
logical qubits to crack that 

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encryption. 
And so you have on the one hand,

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improvement on the software side
where you need less and less 

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logical qubits to crack the 
security key. 

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On the other hand, you have 
improvement on hardware where 

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you have more and more of those 
logical qubits available. 

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And at some stage that will 
merge and that public encryption

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key would be no longer safe. 
So hence you need to do 

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something today. 
And today you already have teams

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at large financial institutions 
who do exactly that. 

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So trying to protect, protect 
their data for the day when it 

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happens or in fact design how to
use quantum for other 

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applications. 
So for example, we have a lot of

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cases of financial services 
using it for fraud detection. 

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So you had some, I don't want to
name the clients, but it's the 

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some credit card companies using
that, some big financial 

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institution using it for a loan 
for example optimization as I 

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said, HSBC public. 
So I can say that for the 

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portfolio optimization etcetera.
When when you're looking at 

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start-ups, what, what are you 
using to determine whether 

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start-ups within the quantum 
field are have the potential to 

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grow? 
When when you talk, this feels 

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very much like a back to the IBM
suite, traditional IBM suite 

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spot of highly centralised 
proprietary investments, which 

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are extremely expensive to buy 
and run to create competitive 

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advantage from now when I look 
at the, you know, growth of the 

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ecosystem around AI that is 
diametrically opposed to that 

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architecture, the AI companies, 
these small companies are very 

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low cost entry point, very low 
initial capital. 

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You know, anybody can kind of, 
you know, pull in the, you know,

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cloud code, start building 
around a open LLM. 

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You know, AI start up thing can 
happen quickly and cheaply. 

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The quantum world feels like 
actually you're looking at 10s 

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of millions to enter that world.
You know what what? 

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Where are the innovations 
happening in this area? 

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Yeah. 
So if you compare it to AI, 

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you'll probably have to rewind 
back about five years before the

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charge of PT moment to compare 
where you are today with 

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quantum. 
So it is the situation where you

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still have build up of hardware 
and the hardware battles going 

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on as it happened in hardware, 
in in computing before, in AI 

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before. 
And you have competing ways to 

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create a quantum computer 
because it's possible to make it

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out of electrons, out of 
photons, out of trapped ions, 

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neutral atoms, artificial atoms,
etcetera. 

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And nobody can tell you today 
exactly which will be the win in

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modality. 
So there is a battle of those 

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different modalities. 
Is that a little bit like 

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looking for the NVIDIA of 
Quantum? 

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Exactly. 
It's like NVIDIA competing with 

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AMD at the same time as there is
a build up capacity at, you 

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know, TSMC to satisfy that. 
And by the way, there is a lot 

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of fight going on in AI space. 
But at the same time, I think 

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the last figure I saw was seven 
and a half, $150 billion being 

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spent by the hyperscalers on the
infrastructure. 

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So that is still going on as 
well because somehow you still 

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need to satisfy those, the 
demand for those, the physical 

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demands for to run those 
algorithms on something. 

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So today first of all, you have 
the battle in, in terms of 

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different hardware modalities 
and they all have pluses and 

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minuses. 
So some of them are faster. 

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So some of them are faster, some
of them are more precise, some 

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of them travel better, travel 
better. 

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So that means that they would 
potentially used for potentially

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could be used for different 
applications. 

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So some of them would be where 
you'd need speed against where 

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you probably value precision 
more. 

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So it it may actually not happen
that it will be 1 winning 

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modality. 
It could be different winning 

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modalities, branching out and 
finding the end user. 

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What? 
What are the current industry 

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leading modalities that exist? 
So the current again, if you 

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look at the flow of money into 
into quantum hardware, the 

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00:12:29,640 --> 00:12:33,160
biggest modality that has gotten
most money, I think it dropped 

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00:12:33,160 --> 00:12:37,440
irons. 
It's the one which is pioneer, 

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00:12:37,440 --> 00:12:40,680
not Pioneer used by INQ and 
Continuum. 

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00:12:41,240 --> 00:12:45,680
And incidentally, INQ is the 
largest publicly traded quantum 

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00:12:45,680 --> 00:12:49,680
computing company today and 
Continuum which is part of 

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00:12:49,680 --> 00:12:54,400
Honeywell, Honeywell has filed 
for an IPO. 

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00:12:54,480 --> 00:12:57,960
So continue maybe come into the 
market later to the this year 

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00:12:57,960 --> 00:13:01,520
again and it could be larger 
than IMQ again, same modality. 

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00:13:02,040 --> 00:13:05,320
And if you look at the flow, 
flow of money into modalities, I

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00:13:05,320 --> 00:13:09,680
think last year Tropetans got 
something like 4 billion out of 

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00:13:09,680 --> 00:13:12,800
10 plus. 
And then you get again the 

210
00:13:12,800 --> 00:13:15,080
figures I've just recently seen 
from McKinsey. 

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00:13:15,360 --> 00:13:18,680
So I think Tropetans was 4 
billion and then I think you had

212
00:13:18,680 --> 00:13:22,080
two billion each from 
superconducting modality and 

213
00:13:22,080 --> 00:13:26,680
photonic modality. 
So I would say those 3 and in 

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00:13:26,680 --> 00:13:29,280
terms of the public, as I said 
publicly listed companies as 

215
00:13:29,280 --> 00:13:33,200
trap times. 
So trap times are very good in 

216
00:13:33,200 --> 00:13:36,040
fidelity. 
So typically those companies 

217
00:13:36,040 --> 00:13:41,680
report industry leading fidelity
numbers 3 nines or target 4 

218
00:13:41,680 --> 00:13:47,080
nines. 
And on the other hand, you have 

219
00:13:47,280 --> 00:13:52,400
very strong camp and of course 
old camp with IBM and Google who

220
00:13:52,400 --> 00:13:57,360
are doing the superconducting 
modality and they are below. 

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00:13:58,000 --> 00:14:01,840
So they're behind trap time in 
terms of fidelity, but they're 

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00:14:01,840 --> 00:14:05,520
way ahead in terms of the speed.
So for example, if it was a 

223
00:14:05,520 --> 00:14:09,160
computer, you'd be talking about
megahertz speed on a 

224
00:14:09,160 --> 00:14:12,720
superconducting modality against
kHz speed at the trap time 

225
00:14:12,720 --> 00:14:14,520
modality. 
So hence I'm saying if you need 

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00:14:14,760 --> 00:14:19,080
speed, perhaps superconducting 
is is your way, but also the 

227
00:14:19,080 --> 00:14:21,880
other, the other one, the third 
one is as I say, which got also 

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more than 2 billion of inflows 
was the photonic modality. 

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00:14:25,680 --> 00:14:29,360
Photonic is based on photons 
which are very well, very well 

230
00:14:29,360 --> 00:14:32,320
suited for fibre optic networks 
around the world. 

231
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So hence perhaps that's the way 
for the connectivity going 

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00:14:35,480 --> 00:14:37,080
forward. 
But again, this is my personal 

233
00:14:37,080 --> 00:14:39,960
opinion and everybody has their 
own opinion. 

234
00:14:39,960 --> 00:14:44,320
But again, judging by pros and 
cons and the amount of money 

235
00:14:44,320 --> 00:14:49,920
those three are probably go in a
little bit ahead of the others. 

236
00:14:49,920 --> 00:14:52,480
But there are others as well. 
I mean IB Ms. been on Quantum 

237
00:14:52,480 --> 00:14:54,560
for several decades. 
They have, you know. 

238
00:14:54,720 --> 00:14:57,240
I remember the Ginni Rometty 
days where it was blockchain 

239
00:14:57,240 --> 00:14:59,960
quantum, you know, AI with 
Watson. 

240
00:15:00,480 --> 00:15:02,600
I mean, what? 
Why? 

241
00:15:02,840 --> 00:15:05,600
I mean, IBM have a lot more than
two to four billion to spend on 

242
00:15:05,840 --> 00:15:06,680
Quantum. 
Yeah. 

243
00:15:07,400 --> 00:15:09,960
So. 
So maybe the flow of money isn't

244
00:15:09,960 --> 00:15:15,320
the ultimate determiner of 
modality success. 

245
00:15:17,160 --> 00:15:21,880
These these new models, are they
emerging and overtaking existing

246
00:15:21,880 --> 00:15:25,920
architectural ideas or like it? 
It feels as though there's no 

247
00:15:25,920 --> 00:15:30,760
clear understanding of the the 
structure which is going to 

248
00:15:30,920 --> 00:15:31,960
quote UN quote. 
Win. 

249
00:15:32,120 --> 00:15:37,000
Yeah. 
Well, I'm sure IBM and NVIDIA 

250
00:15:37,000 --> 00:15:41,160
and Google and pretty much every
other larger large company which

251
00:15:41,160 --> 00:15:44,760
is involved in AI or computing 
are looking at the development 

252
00:15:44,760 --> 00:15:48,520
and quantum. 
But there is no need to act yet 

253
00:15:48,600 --> 00:15:51,280
from their point of view. 
Because again, to put it in 

254
00:15:51,280 --> 00:15:55,120
perspective, NVIDIA, the market 
cap of NVIDIA is something like 

255
00:15:55,120 --> 00:15:59,760
3 or 400 times larger than that 
of the largest publicly traded 

256
00:16:00,400 --> 00:16:03,680
company, which is IMQ, which 
means with their with their 

257
00:16:03,680 --> 00:16:05,800
shares, they can buy a hundred 
of those companies. 

258
00:16:05,960 --> 00:16:07,760
So there is no need to do that 
yet. 

259
00:16:08,160 --> 00:16:12,080
Although, you know, we had quite
significant appreciation and the

260
00:16:12,400 --> 00:16:14,800
share prices of quantum 
computing companies, but they're

261
00:16:14,800 --> 00:16:19,000
still tiny and there are many 
different modalities battling. 

262
00:16:19,000 --> 00:16:21,800
So in a way, you can wait a 
little and see which one is 

263
00:16:21,800 --> 00:16:25,000
emerging as the one which is 
perhaps the most promising and 

264
00:16:25,000 --> 00:16:27,720
then acquire. 
So what you have today is the 

265
00:16:27,960 --> 00:16:30,920
vertical acquisition by some 
place like for example, INQ, 

266
00:16:31,400 --> 00:16:34,560
which is publicly listed, as I 
say, largest publicly listed 

267
00:16:34,920 --> 00:16:37,160
quantum computing companies who 
could use their shares to 

268
00:16:37,160 --> 00:16:39,520
acquire pretty much anything. 
And I think they've made 

269
00:16:39,520 --> 00:16:42,640
something like 7 acquisitions. 
Importantly, they acquired 

270
00:16:42,640 --> 00:16:47,440
Oxford Ionics, which is the also
trap time modality, which is 

271
00:16:49,080 --> 00:16:57,120
which is Auk company and that 
that has the technology which is

272
00:16:57,120 --> 00:17:00,560
similar to what INQ had. 
But I guess acquisition points 

273
00:17:00,920 --> 00:17:03,920
that perhaps it was a valuable 
technology that they wanted to 

274
00:17:03,920 --> 00:17:07,160
have, but they also have an 
acquiring vertically like for 

275
00:17:07,160 --> 00:17:13,160
example the the the manufacturer
so that. 

276
00:17:13,160 --> 00:17:16,119
Vertical integration is such a 
hot topic right now. 

277
00:17:16,160 --> 00:17:20,839
When you look at what I mean 
SpaceX XAI, you know what's 

278
00:17:20,839 --> 00:17:25,480
happening in terms of vertical 
integrated technology, like from

279
00:17:25,480 --> 00:17:30,200
the coding itself all the way up
to, you know, physical spaceship

280
00:17:30,200 --> 00:17:33,720
infrastructure. 
That business model of hyper 

281
00:17:33,720 --> 00:17:38,200
consolidation and vertical 
integration seems to be like the

282
00:17:38,200 --> 00:17:44,040
global trend for the late twenty
20s to own a tightly vertically 

283
00:17:44,040 --> 00:17:47,200
integrated stack from software 
development all the way through 

284
00:17:47,200 --> 00:17:51,400
to physical delivery. 
Quantum is maybe following that 

285
00:17:51,400 --> 00:17:55,160
playbook to try and create like 
exponential competitive 

286
00:17:55,160 --> 00:17:58,600
advantage by beyond all the 
monitor the supply chain all the

287
00:17:58,600 --> 00:18:01,360
way through to the delivery of 
the, you know, computational 

288
00:18:01,360 --> 00:18:06,120
outcome of the system. 
Yeah, another, I guess, similar 

289
00:18:06,120 --> 00:18:08,720
development in the past could 
have been, you know, Apple 

290
00:18:08,720 --> 00:18:11,760
against Microsoft and Intel. 
So 1 is a little bit like a 

291
00:18:11,760 --> 00:18:14,120
closed wall garden. 
The other one is open 

292
00:18:14,120 --> 00:18:16,840
architecture. 
So like in quantum companies, 

293
00:18:17,040 --> 00:18:20,720
some of them are opening up, 
like IBM, for example. 

294
00:18:20,720 --> 00:18:25,240
They're very much looking to 
work with all the developers and

295
00:18:25,440 --> 00:18:28,760
what they're interested in is 
building the applications 

296
00:18:28,760 --> 00:18:31,480
because without applications, 
those quantum computers are 

297
00:18:31,840 --> 00:18:34,600
just, you know, useless pieces 
of hardware. 

298
00:18:34,920 --> 00:18:36,520
So you need to build an 
application layer. 

299
00:18:36,840 --> 00:18:40,720
You don't have to acquire those.
You can open up your systems for

300
00:18:40,920 --> 00:18:45,240
access like IBM have done, and 
they're given, for example, free

301
00:18:45,240 --> 00:18:47,680
credits for the developers. 
And then of course, they charge 

302
00:18:47,680 --> 00:18:50,320
also if it's getting to the to 
the point that it's becoming 

303
00:18:50,320 --> 00:18:53,080
heavy use. 
And in fact, they have generated

304
00:18:53,200 --> 00:18:56,120
significant revenue from from 
that, from quantum. 

305
00:18:56,680 --> 00:19:01,440
So that's one way and you could 
build applications around your 

306
00:19:01,640 --> 00:19:04,440
hardware and hoping that there 
will be a killer app among them.

307
00:19:04,440 --> 00:19:08,560
And if there is some adjusting 
technology in even in hardware, 

308
00:19:08,560 --> 00:19:11,440
you could always acquire it 
using your shares or you could 

309
00:19:11,600 --> 00:19:14,320
you could vertically integrate 
like some companies may prefer 

310
00:19:14,320 --> 00:19:15,760
to do. 
They don't open their their 

311
00:19:15,760 --> 00:19:18,160
systems to others. 
They just try to buy everything 

312
00:19:18,160 --> 00:19:20,800
around them and build, build a 
business like that. 

313
00:19:21,360 --> 00:19:25,880
So again, I don't know which one
is the better way, but the both,

314
00:19:25,880 --> 00:19:28,200
both are happening. 
It feels to me like both, both, 

315
00:19:28,560 --> 00:19:31,040
both are happening. 
And especially for those larger 

316
00:19:31,040 --> 00:19:33,680
quantum computing companies 
which believe that they are the 

317
00:19:33,680 --> 00:19:35,840
leaders in the particular 
modality. 

318
00:19:36,280 --> 00:19:38,520
I think then I'll get into the 
stage that they're building the 

319
00:19:38,520 --> 00:19:41,160
application layer and pretty 
much all of them are interested 

320
00:19:41,160 --> 00:19:43,680
in in applications perhaps more 
than hardware. 

321
00:19:43,880 --> 00:19:45,800
And of course they're watching 
the competitors when they're 

322
00:19:45,800 --> 00:19:47,800
coming up. 
And if there is something even 

323
00:19:47,800 --> 00:19:52,920
in different modality, we have a
case one company at least 

324
00:19:52,920 --> 00:19:55,800
they're quite another modality 
and now do the dual track 

325
00:19:55,800 --> 00:19:58,800
development. 
So I mean, when it comes to your

326
00:19:58,800 --> 00:20:01,960
investment thesis, are you 
getting in early and capturing 

327
00:20:01,960 --> 00:20:04,840
those acquisitions, but you 
know, to double your fund in 

328
00:20:04,840 --> 00:20:06,480
four years would suggest 
something a bit more 

329
00:20:06,480 --> 00:20:09,840
significant. 
Are you like where are you 

330
00:20:09,840 --> 00:20:14,160
focused specifically in terms of
putting capital, deploying 

331
00:20:14,160 --> 00:20:17,240
capital? 
Yeah, we backed companies at 

332
00:20:17,240 --> 00:20:21,560
early stage and the the fund 
that has doubled in value is 

333
00:20:22,080 --> 00:20:28,680
typically seed or even pre seed 
investments and we've backed 

334
00:20:28,800 --> 00:20:30,200
those three different 
modalities. 

335
00:20:30,200 --> 00:20:33,000
So we have we have 
superconducting, we have 

336
00:20:33,000 --> 00:20:36,600
photonic and we have trap time. 
So we are not even making the 

337
00:20:36,600 --> 00:20:40,800
bet because I guess it's too 
risky at this stage. 

338
00:20:41,240 --> 00:20:43,480
And then we have also sensing 
and communications and 

339
00:20:43,480 --> 00:20:46,320
components like Quantico for 
example, is a most recent 

340
00:20:46,320 --> 00:20:49,360
acquisition as a component to de
risk it further. 

341
00:20:49,640 --> 00:20:53,720
So because if you are investing 
in one modality, one company, 

342
00:20:53,760 --> 00:20:57,040
you're not sure that you're not 
sure about the timing of those 

343
00:20:57,800 --> 00:21:01,560
scalable deployment of quantum 
computers and you're not on top 

344
00:21:01,560 --> 00:21:03,440
of that you're not sure that 
that's going to be the winning 

345
00:21:03,440 --> 00:21:05,120
modality that's kind of double s
your risk. 

346
00:21:05,520 --> 00:21:07,360
So it makes sense to do it as a 
portfolio. 

347
00:21:07,360 --> 00:21:10,080
And as a portfolio, as I say, we
have three different modalities 

348
00:21:10,080 --> 00:21:13,000
which seem to be the ones which 
are attracted most capital at 

349
00:21:13,000 --> 00:21:16,000
least last year, but we invested
in them before that. 

350
00:21:16,280 --> 00:21:19,160
We invested from 2022 to 2023 in
those companies. 

351
00:21:19,600 --> 00:21:23,320
And then we also have as a 
diversifier, let's call it 

352
00:21:23,680 --> 00:21:25,560
sensing communications and 
components. 

353
00:21:26,080 --> 00:21:29,040
And it's not that a diversifier 
in in that sense. 

354
00:21:29,040 --> 00:21:31,720
I mean they are, but we invested
in them because it's also an 

355
00:21:31,720 --> 00:21:34,160
interesting market. 
It may be smaller than quantum 

356
00:21:34,160 --> 00:21:37,520
computer and less prominent, but
it's near a term revenue. 

357
00:21:37,520 --> 00:21:40,680
So as a near term, I mean one of
our sensing companies already 

358
00:21:40,680 --> 00:21:46,520
have a device which which is 
ready to be trialled or it's a, 

359
00:21:46,640 --> 00:21:48,640
it's a medical device. 
So you have to you have to get 

360
00:21:48,640 --> 00:21:50,960
approval, but you can see the 
device. 

361
00:21:51,280 --> 00:21:54,680
When I, I did, I had a little 
look at your portfolio and I had

362
00:21:54,680 --> 00:21:58,160
a look at the, this, the theme 
of where capital is being 

363
00:21:58,160 --> 00:22:01,920
deployed in quantum I. 
And, and when I've looked at the

364
00:22:01,920 --> 00:22:08,000
way IT has become, you know, a 
geopolitical lever, certainly 

365
00:22:08,000 --> 00:22:12,720
over the last few years, AI, 
quantum, you know, these are 

366
00:22:12,720 --> 00:22:17,720
becoming utilities, you know, 
organizational and country level

367
00:22:17,800 --> 00:22:20,560
utilities. 
And those utilities can be 

368
00:22:20,560 --> 00:22:24,680
applied across, you know, 
sovereign agriculture for the 

369
00:22:24,680 --> 00:22:29,000
development of fertilizers to 
create, you know, optimised food

370
00:22:29,000 --> 00:22:32,000
production that can be used 
across, you know, industry, 

371
00:22:32,240 --> 00:22:36,640
defence, pharmaceuticals, 
healthcare, you know, is there 

372
00:22:36,640 --> 00:22:42,680
is there a is, is quantum 
entering an era where 

373
00:22:42,680 --> 00:22:47,800
computational capability is as 
close to countries and sovereign

374
00:22:47,920 --> 00:22:50,320
as organisations? 
You know, I know I've seen the 

375
00:22:50,320 --> 00:22:53,480
UK government commit to a 
billion pounds of building 

376
00:22:53,480 --> 00:22:59,320
quantum infrastructure within 
the UKI feel as though AI 

377
00:22:59,320 --> 00:23:02,720
quantum, they're going to become
pseudo components of 

378
00:23:03,440 --> 00:23:07,360
governmental control or 
organization of countries. 

379
00:23:07,720 --> 00:23:09,560
That's what we're looking at 
here, Kirill, I believe. 

380
00:23:10,320 --> 00:23:13,920
Well, there are some aspects of,
of quantum computing in 

381
00:23:13,920 --> 00:23:17,440
particular and communications to
a degree that is dual use, that 

382
00:23:17,440 --> 00:23:21,480
means defence and also the 
security component. 

383
00:23:21,480 --> 00:23:25,560
So that is how do you protect 
against the future hacking of 

384
00:23:25,560 --> 00:23:28,560
your data or even what's going 
on today, which is called 

385
00:23:29,880 --> 00:23:32,480
harvest now, decrypt later, 
which is happening. 

386
00:23:32,480 --> 00:23:37,200
So that's of course, if it is, 
it's critical because if you can

387
00:23:37,720 --> 00:23:42,000
crack the security key, which is
behind all your client data, all

388
00:23:42,000 --> 00:23:43,760
your transactions, this is 
invaluable. 

389
00:23:43,800 --> 00:23:45,720
And it's invaluable on a state 
level. 

390
00:23:46,280 --> 00:23:51,360
Likewise, if you look at 
sensing, even for sensing there 

391
00:23:51,360 --> 00:23:54,000
is very important field called 
PNT position navigation and 

392
00:23:54,000 --> 00:23:57,560
timing. 
That's for example, how do you 

393
00:23:57,920 --> 00:24:02,640
find your geolocation in case of
GPS denial, GPS signal denial, 

394
00:24:02,640 --> 00:24:04,560
of course, very important for 
for military. 

395
00:24:05,960 --> 00:24:10,080
So yes, it is it's important. 
I would say commercial 

396
00:24:10,080 --> 00:24:15,360
applications are bigger because 
those you know, if you just look

397
00:24:15,360 --> 00:24:19,600
at again, McKinsey data, 
potential value at risk for just

398
00:24:19,600 --> 00:24:22,080
finance and Healthcare is 
something like a trillion. 

399
00:24:22,680 --> 00:24:27,520
And that's more than, you know, 
more than for example, UKMOD 

400
00:24:27,520 --> 00:24:31,880
budget, which which you always 
have to fight for. 

401
00:24:32,200 --> 00:24:37,920
But defence has always been the 
earliest adopter of most 

402
00:24:37,920 --> 00:24:40,920
exciting technological 
innovations like mobile phones 

403
00:24:40,920 --> 00:24:44,120
or like Internet. 
So typically you would have 

404
00:24:45,840 --> 00:24:48,280
either defence grants or defence
contract to develop the 

405
00:24:48,280 --> 00:24:50,440
technology and then it gets 
rolled out commercially. 

406
00:24:50,800 --> 00:24:53,040
So you're still at the stage 
where it's earlier. 

407
00:24:53,160 --> 00:24:56,760
So there are important, there's 
a big importance of the defence 

408
00:24:56,760 --> 00:25:00,280
and national national budgets. 
And by the way, that's why this 

409
00:25:00,280 --> 00:25:03,280
announcement from the UK is so 
important because UK have 

410
00:25:03,280 --> 00:25:07,160
announced 2 billion spent, 
including a billion for 

411
00:25:07,160 --> 00:25:10,000
procurement, including I think 
something 6 or 100 million 

412
00:25:10,000 --> 00:25:13,320
specifically for computing. 
They also have a bucket for 

413
00:25:14,040 --> 00:25:16,760
sensing and communications. 
And that's important because 

414
00:25:16,760 --> 00:25:20,240
that that means it's a 
government buying directly of 

415
00:25:22,360 --> 00:25:25,120
directly from those companies. 
And even if it doesn't give you 

416
00:25:25,120 --> 00:25:27,560
a useful tool at the end, it 
will create an ecosystem, it 

417
00:25:27,560 --> 00:25:31,040
will attract jobs, it will 
create the workforce. 

418
00:25:32,400 --> 00:25:35,040
Let's take Howell Quantum 
cluster, where we are partners. 

419
00:25:35,960 --> 00:25:39,560
When the government announced 
the launch of that cluster, the 

420
00:25:39,560 --> 00:25:43,800
science minister said that this 
is a major initiative planning 

421
00:25:43,800 --> 00:25:48,360
to attract a billion of 
investments, create thousand of 

422
00:25:48,360 --> 00:25:50,200
jobs just at Howell Quantum 
cluster. 

423
00:25:50,200 --> 00:25:54,760
So just one place in Oxfordshire
so significant overall for the 

424
00:25:54,760 --> 00:25:57,720
UK. 
It's important a report from a 

425
00:25:57,720 --> 00:26:00,760
report from Oxford economics 
last year. 

426
00:26:00,760 --> 00:26:04,760
So 20 February 2025 put the 
figures something like 200 

427
00:26:04,760 --> 00:26:09,360
billion benefit to the UK or 7% 
of the GDP by I don't remember 

428
00:26:09,360 --> 00:26:14,360
year 2035 or 2040. 
And also importantly, William 

429
00:26:14,360 --> 00:26:18,640
Hague actually who, who 
forwarded this report, they said

430
00:26:18,640 --> 00:26:23,480
that this is EU KS race to lose 
because now we may have lost the

431
00:26:23,480 --> 00:26:28,080
AI race, but in in quantum, we 
are the place in Europe with the

432
00:26:28,080 --> 00:26:31,920
most quantum startups and only a
second to the US at the moment. 

433
00:26:32,560 --> 00:26:37,840
So UK is doing a lot. 
But likewise, if you look at the

434
00:26:37,840 --> 00:26:42,320
UK and US, they each probably 
spent something like $6 billion 

435
00:26:42,320 --> 00:26:45,680
maybe. 
But China alone is 15 billion 

436
00:26:46,160 --> 00:26:49,920
and China has now put quantum as
part of their new five year plan

437
00:26:50,280 --> 00:26:52,440
and five year plan. 
That means it will be 

438
00:26:52,440 --> 00:26:55,600
implemented across all the 
industries strategically. 

439
00:26:55,800 --> 00:26:59,240
And then we'll go for large 
projects like national, you 

440
00:26:59,240 --> 00:27:02,280
know, satellite quantum 
networks, for example. 

441
00:27:03,920 --> 00:27:07,760
But as I say, UK is announcing a
lot of a lot of investments and 

442
00:27:07,760 --> 00:27:11,320
it's it's been one of the early 
adopters, early promoters of 

443
00:27:11,320 --> 00:27:14,360
quantum with its national 
quantum strategy already 2014 a 

444
00:27:14,360 --> 00:27:17,520
billion dedicated which was 
very, very early. 

445
00:27:17,800 --> 00:27:20,640
But that's led to our place 
today that we are the leaders in

446
00:27:20,640 --> 00:27:22,640
Europe in terms of number of 
quantum start-ups. 

447
00:27:22,800 --> 00:27:26,640
And as I say that procurement is
very, very important and the UK 

448
00:27:26,640 --> 00:27:29,680
government is doing excellent 
job in my opinion. 

449
00:27:30,760 --> 00:27:33,640
What? 
Why is it often said that it's 

450
00:27:33,640 --> 00:27:36,800
too early for quantum? 
This this idea of harvest and 

451
00:27:36,800 --> 00:27:39,640
decrypt later. 
There's a sense that something 

452
00:27:39,640 --> 00:27:41,840
big is coming, but it's too 
early now. 

453
00:27:42,040 --> 00:27:48,040
So harvest data decrypted later 
from from a the reality of the 

454
00:27:48,040 --> 00:27:51,440
technology perspective, even on 
some of my earlier baselines 

455
00:27:51,440 --> 00:27:54,520
with some of the leaders at IBM,
some of the comments on there 

456
00:27:54,960 --> 00:27:58,520
were quite dismissive of the 
maturity of the technology in 

457
00:27:58,520 --> 00:28:02,280
terms of its predictability and 
stability. 

458
00:28:02,720 --> 00:28:05,480
So, so one of the main issues 
that's been cited to me is that,

459
00:28:05,760 --> 00:28:10,920
yes, we see these snapshots of 
amazing potential, but it's not 

460
00:28:11,000 --> 00:28:14,040
repeatable right now. 
Is it repeatable? 

461
00:28:14,040 --> 00:28:16,600
Are we moving to repeatability 
within quantum or is it still 

462
00:28:16,600 --> 00:28:19,400
slightly unpredictable? 
I think I've seen figure that 

463
00:28:20,120 --> 00:28:23,200
there are more than 300 
commercial use cases and it's 

464
00:28:23,200 --> 00:28:26,000
not small companies. 
So as I said in healthcare it's 

465
00:28:26,000 --> 00:28:32,480
likes of AstraZeneca, Moderna. 
So and they are reporting real 

466
00:28:32,520 --> 00:28:36,480
useful commercial case studies. 
In fact, narrative has changed a

467
00:28:36,480 --> 00:28:39,400
lot last year, as I said, last 
year was quite an important year

468
00:28:39,400 --> 00:28:44,360
for for quantum, not just 
because it was the year of 

469
00:28:44,360 --> 00:28:48,120
quantum, but because of those 
commercial case studies from 

470
00:28:48,120 --> 00:28:50,520
large institutions that has come
out. 

471
00:28:50,840 --> 00:28:53,960
And that was the reason why the 
funding has increased because as

472
00:28:53,960 --> 00:28:57,640
you say, a very long time 
quantum was sometimes you know 

473
00:28:57,800 --> 00:29:00,960
three to five years ahead and 
suddenly they start started 

474
00:29:00,960 --> 00:29:03,240
popping in almost you know, 
quarter by quarter. 

475
00:29:03,240 --> 00:29:06,320
There is a big a big 
announcement and that means, you

476
00:29:06,320 --> 00:29:09,680
know, if you have the 
probability of your encryption 

477
00:29:09,680 --> 00:29:13,800
key being broken within five 
years, if it's already 30%, you 

478
00:29:13,800 --> 00:29:18,120
actually have to do now up now. 
That's why those financial 

479
00:29:18,120 --> 00:29:20,400
institutions already have large 
teams working on those 

480
00:29:20,400 --> 00:29:22,640
encryptions. 
And if, for example, one of your

481
00:29:22,640 --> 00:29:26,000
competitors in say vaccine 
business comes up with a new way

482
00:29:26,200 --> 00:29:30,440
how they can come up with a 
molecule design cutting years of

483
00:29:30,440 --> 00:29:34,080
the, you know, all the phase 
trials. 

484
00:29:34,960 --> 00:29:37,600
And if you are their competitor,
you'd have to follow because you

485
00:29:37,600 --> 00:29:39,960
can't otherwise you will be left
behind. 

486
00:29:40,600 --> 00:29:44,240
And so it only takes one 
commercial case study when the 

487
00:29:44,240 --> 00:29:47,880
whole, the whole sector moves. 
So for example, Boeing is 

488
00:29:47,880 --> 00:29:51,720
working with IBM and announced 
and announced some results. 

489
00:29:51,720 --> 00:29:53,920
So of course, all their 
competitors like, you know, 

490
00:29:54,040 --> 00:29:56,480
Airbus, Lockheed Martin, they're
looking at that. 

491
00:29:56,480 --> 00:29:59,360
And probably, you know, I don't 
know of course what's happening 

492
00:29:59,800 --> 00:30:03,320
everywhere, but you know, they, 
they also will be looking, will 

493
00:30:03,320 --> 00:30:05,080
be researching. 
And that's what brings money, 

494
00:30:05,080 --> 00:30:07,800
because that means R&D budget, 
it's mean people dedicated to 

495
00:30:07,800 --> 00:30:09,520
it. 
It's mean rather than the part 

496
00:30:09,520 --> 00:30:12,640
time, you know, one or two 
person teams, you'd have, you 

497
00:30:12,640 --> 00:30:17,800
know, 10/20/50 team dedicated to
quantum working and it hands 

498
00:30:17,800 --> 00:30:22,000
purchasing, hands purchasing 
software, working on software, 

499
00:30:22,000 --> 00:30:25,640
purchasing the time on, on the 
quantum computers which are 

500
00:30:25,640 --> 00:30:27,920
available, etcetera. 
So I mean, that's, that's how it

501
00:30:27,920 --> 00:30:31,160
happens. 
It's like, you know it, it's 

502
00:30:31,320 --> 00:30:34,200
probably going back to when we 
had those massive supercomputers

503
00:30:34,200 --> 00:30:36,120
which would take the whole the 
whole room. 

504
00:30:36,640 --> 00:30:38,520
Yes, that is the situation 
today. 

505
00:30:38,520 --> 00:30:43,160
But wouldn't you want to invest 
back in those days in the 60s or

506
00:30:43,960 --> 00:30:47,320
you know later, you know, 70s or
80s on those companies how much 

507
00:30:47,320 --> 00:30:50,600
money you would have made? 
So you are at the beginning at 

508
00:30:50,600 --> 00:30:54,280
the dawn of a very exciting 
developments and again bringing 

509
00:30:54,280 --> 00:30:58,800
back IBM from now on it's not a 
physical challenge, it's not 

510
00:30:58,800 --> 00:31:02,960
physics challenges, it's more 
engineering because the task 

511
00:31:02,960 --> 00:31:06,000
today, you know how to make it 
is just how do you shrink more 

512
00:31:06,000 --> 00:31:10,640
and more of those lasers and 
those those trapped ions on one 

513
00:31:10,640 --> 00:31:13,040
wafer. 
And as we know in in 

514
00:31:13,040 --> 00:31:15,720
semiconductors you have Moore's 
Law, which basically says that 

515
00:31:16,360 --> 00:31:18,280
every two years you basically 
double the amount of 

516
00:31:18,280 --> 00:31:20,080
transistors. 
Of course it doesn't happen 

517
00:31:20,080 --> 00:31:25,320
everywhere, but you have you 
have an engineering challenge to

518
00:31:25,320 --> 00:31:27,000
do that. 
What we're essentially looking 

519
00:31:27,000 --> 00:31:31,720
at over the next five years is 
if there's a breakthrough moment

520
00:31:31,920 --> 00:31:37,560
in either healthcare defence or 
communications slash encryption,

521
00:31:38,520 --> 00:31:40,600
it's almost going to be a 
landslide into the industry 

522
00:31:40,600 --> 00:31:42,280
because to your point, you're 
going to move the 

523
00:31:42,280 --> 00:31:44,480
state-of-the-art so much farther
forwards. 

524
00:31:45,000 --> 00:31:49,840
The, the, the competitive 
dynamics are going to be so 

525
00:31:49,840 --> 00:31:52,560
wide. 
I mean, it's, it's very 

526
00:31:52,560 --> 00:31:53,840
exciting, but it is a bit of a 
gamble. 

527
00:31:53,840 --> 00:31:57,040
It fails. 
Is it still in academia? 

528
00:31:57,480 --> 00:31:59,840
Yeah, well, that's that's the 
case not in academia anymore. 

529
00:31:59,840 --> 00:32:03,440
And I think that 2025 was the 
inflection year. 

530
00:32:03,440 --> 00:32:05,280
What? 
Happened in 2025 that made 

531
00:32:05,280 --> 00:32:08,800
quantum. 
Commercial use cases appeared as

532
00:32:08,800 --> 00:32:14,080
I say commercial use cases on 
existing on existing machines 

533
00:32:14,080 --> 00:32:18,400
like IBM or Continuum machines 
by some large institutions which

534
00:32:19,360 --> 00:32:24,000
which are researching or 
trialling some significant 

535
00:32:24,160 --> 00:32:28,640
revenue opportunity to either 
optimize or stimulate, simulate.

536
00:32:29,240 --> 00:32:33,960
And you could look at you could 
you could see it's happening by 

537
00:32:33,960 --> 00:32:40,000
the flow of money into quantum 
because 2022-2023, 2024 it was 

538
00:32:40,000 --> 00:32:42,080
nothing. 
Well, 2024 was increased maybe 

539
00:32:42,080 --> 00:32:44,680
40% and then it's gotten 5 or 6 
fold increase. 

540
00:32:44,680 --> 00:32:47,440
So it's like really you could 
see in flow of money that is 

541
00:32:47,440 --> 00:32:51,400
just as it's like a Jacob 
classic and that means as a 

542
00:32:51,400 --> 00:32:54,720
collective wisdom of investors 
decided that yes, it's time to 

543
00:32:54,720 --> 00:32:59,880
put the money in and it's not to
say that the revenue all margins

544
00:32:59,880 --> 00:33:01,440
are there because they won't 
come from. 

545
00:33:01,440 --> 00:33:04,720
Confidence Confidence and proof 
points are starting to occur. 

546
00:33:04,720 --> 00:33:06,600
Yeah, exactly. 
More and more people looking at 

547
00:33:06,600 --> 00:33:10,400
this flow of money feel 
confident that this is this is 

548
00:33:10,400 --> 00:33:12,720
actually significant. 
And it could come from 

549
00:33:12,720 --> 00:33:15,840
different, different angles. 
So for example, you could have 

550
00:33:15,880 --> 00:33:18,480
made this investment decision 
looking at the, you know, 

551
00:33:18,480 --> 00:33:21,160
reading some scientific papers 
where Google, for example, team 

552
00:33:21,160 --> 00:33:25,200
is saying that they now, you 
know, 1000 times less qubits to 

553
00:33:25,200 --> 00:33:28,600
do the, to decrypt the 
sophisticated encryption 

554
00:33:28,600 --> 00:33:30,960
algorithm. 
Or it could be coming from 

555
00:33:31,640 --> 00:33:34,080
commercial, pure commercial 
point of view saying that, OK, 

556
00:33:34,320 --> 00:33:39,440
you know, INQ is just paid 1 / a
billion for oxide ionics. 

557
00:33:39,440 --> 00:33:41,760
I mean, that means it's, it's, 
it's happening. 

558
00:33:41,760 --> 00:33:44,880
There is a value on those 
businesses and you know, I 

559
00:33:44,880 --> 00:33:47,440
better participate in it. 
What happens when encryption 

560
00:33:47,440 --> 00:33:48,880
breaks? 
What happens when a bad actor 

561
00:33:48,880 --> 00:33:51,240
gets access to a technology that
can break encryption? 

562
00:33:51,560 --> 00:33:53,880
Well, it's big. 
It's a big risk. 

563
00:33:54,440 --> 00:33:58,800
Some say if you attack, for 
example, Fed wire transactions 

564
00:33:59,240 --> 00:34:02,640
by one of the large financial, 
major financial institution in 

565
00:34:02,640 --> 00:34:04,200
the US, that's like a trillion a
day. 

566
00:34:04,920 --> 00:34:09,360
Or bitcoins, as I say, 25% of 
bitcoins translates into 

567
00:34:09,360 --> 00:34:12,400
something like 5 or $600 
billion. 

568
00:34:14,000 --> 00:34:17,159
And as I say, if you have client
data like the transaction, like 

569
00:34:17,159 --> 00:34:19,639
how do you measure that even? 
Or how do you insure against 

570
00:34:19,639 --> 00:34:21,400
that? 
So I mean that that that's why 

571
00:34:21,719 --> 00:34:25,000
really you have to act now. 
And in fact, the government 

572
00:34:25,440 --> 00:34:28,639
started to legislate. 
So for example, quantum is part 

573
00:34:28,639 --> 00:34:30,639
of national security strategy in
the US. 

574
00:34:31,000 --> 00:34:33,760
You Quantum Act will have some 
provisions for that, but 

575
00:34:33,760 --> 00:34:35,800
actually mandate and post 
quantum security. 

576
00:34:36,600 --> 00:34:39,440
So it's happening in the 
security agencies are the most, 

577
00:34:39,440 --> 00:34:41,159
most sensitive data that you 
have. 

578
00:34:41,159 --> 00:34:46,280
But in fact all data is at risk.
So if you have, if you have not 

579
00:34:46,280 --> 00:34:50,360
time sensitive client data, you 
could do as I say, harvest now, 

580
00:34:50,360 --> 00:34:52,719
decrypt later if you are a bad 
actor. 

581
00:34:54,800 --> 00:35:01,800
As we go through 2026, what are 
you looking for as an investor? 

582
00:35:01,800 --> 00:35:06,000
What signs and signals do you 
look for in potential 

583
00:35:06,000 --> 00:35:11,640
investments to show that these 
companies or founders are indeed

584
00:35:11,640 --> 00:35:13,600
building something that could be
valuable? 

585
00:35:13,840 --> 00:35:16,400
Because you know what we 
discussed earlier about some of 

586
00:35:16,400 --> 00:35:22,040
these, you know, AI, space tech,
quantum, you know, you go to the

587
00:35:22,040 --> 00:35:24,160
events, you go to the investor 
events. 

588
00:35:24,400 --> 00:35:28,240
There's a lot of people talking 
about potential, but where do 

589
00:35:28,240 --> 00:35:31,360
you actually see the work 
getting done and what signals 

590
00:35:31,960 --> 00:35:35,600
start to appear to show progress
is being made? 

591
00:35:36,880 --> 00:35:40,240
Well, first of all, when we 
speak to customers and when we 

592
00:35:40,240 --> 00:35:43,680
speak to our portfolio 
companies, we ask them to 

593
00:35:43,880 --> 00:35:48,320
emphasise who their clients are 
and what those clients are using

594
00:35:48,320 --> 00:35:50,920
it for. 
So it's not anymore, you know 

595
00:35:50,920 --> 00:35:53,520
some technical benchmarks, how 
many logical qubits, what's your

596
00:35:53,520 --> 00:35:56,120
gate speed? 
It's more questions about, OK, 

597
00:35:56,120 --> 00:35:59,040
who's using you or who we 
talking to you, who, who are 

598
00:35:59,040 --> 00:36:01,440
potential customers. 
So it's it's a commercial 

599
00:36:01,440 --> 00:36:03,960
opportunity. 
And what's also important is to 

600
00:36:03,960 --> 00:36:06,720
protect yourself against the 
hype because the hype is a 

601
00:36:06,720 --> 00:36:09,800
little bit appearing already 
like it happened before with AI,

602
00:36:10,640 --> 00:36:13,840
like you add AI name after your 
company, certain evaluation goes

603
00:36:13,840 --> 00:36:16,680
by a billion. 
So I fear that some of these 

604
00:36:16,680 --> 00:36:18,720
things may be happening in 
quantum a little bit now. 

605
00:36:18,720 --> 00:36:21,520
So it's important to actually 
understand whether it's first of

606
00:36:21,520 --> 00:36:25,200
all genuine quantum technology 
or is it just, you know, another

607
00:36:25,200 --> 00:36:28,400
semiconductor device. 
In in the early stages, I 

608
00:36:28,400 --> 00:36:30,440
remember people used to talk 
about number of billion of 

609
00:36:30,440 --> 00:36:32,000
parameters in the large language
model. 

610
00:36:32,120 --> 00:36:34,760
No one talks about that anymore 
because the output of the large 

611
00:36:34,760 --> 00:36:37,480
language model is kind of felt 
and integrated into workflows in

612
00:36:37,480 --> 00:36:39,640
People's Daily lives. 
They don't worry that I'm going 

613
00:36:39,640 --> 00:36:41,960
to use this language model 
because it's got 182 billion 

614
00:36:41,960 --> 00:36:44,120
parameters. 
Quantum maybe is still in the 

615
00:36:44,280 --> 00:36:48,960
we've got X billion parameters. 
Soon the value will be seen on 

616
00:36:48,960 --> 00:36:52,160
the outcomes of the technology, 
not the internal. 

617
00:36:52,640 --> 00:36:55,280
Mechanics, absolutely. 
And also from that point of 

618
00:36:55,280 --> 00:36:57,600
view, it won't really matter 
which modality you're going for 

619
00:36:57,800 --> 00:37:00,120
as long as you're producing 
results and you have commercial 

620
00:37:00,120 --> 00:37:02,680
use cases, commercial 
applications and customers who 

621
00:37:02,680 --> 00:37:05,400
are prepared to try this. 
So that's what's more important.

622
00:37:05,640 --> 00:37:09,360
And if you look at the 
components as I say, and then 

623
00:37:09,400 --> 00:37:12,920
it's, is it genuine quantum or 
is it overhyped and also very 

624
00:37:12,920 --> 00:37:14,800
important, is it actually 
commercial already? 

625
00:37:14,800 --> 00:37:19,600
So is it you're trying just to, 
you know, find money for some 

626
00:37:19,680 --> 00:37:22,240
great research idea which nobody
had tried in practice and you've

627
00:37:22,240 --> 00:37:25,680
published a paper on it and so 
therefore you now want to start 

628
00:37:25,680 --> 00:37:28,160
a company or it isn't too early 
for that. 

629
00:37:28,160 --> 00:37:30,360
So perhaps there are several 
steps that you need to take 

630
00:37:30,360 --> 00:37:35,200
before before trying to to ask 
VC for investments. 

631
00:37:35,200 --> 00:37:37,320
What do you think the reality 
will be in five years? 

632
00:37:38,280 --> 00:37:40,680
Sorry, what do you think the 
reality will be in five years? 

633
00:37:40,680 --> 00:37:42,720
Because five years seems to 
happen very quickly these days. 

634
00:37:43,680 --> 00:37:47,880
Again, coming to IBM, because 
they seem to have the most clear

635
00:37:47,880 --> 00:37:54,320
Rd. plan for quantum. 
They say 2026 is the year of 

636
00:37:54,320 --> 00:37:59,520
quantum advantage and 2029 is 
deployment of fault tolerant 

637
00:37:59,520 --> 00:38:03,600
computer at scale and they're 
working to it towards this goal.

638
00:38:04,080 --> 00:38:09,120
As I say, it's according to CEO,
it's the engineering, pure 

639
00:38:09,120 --> 00:38:10,840
engineering problem. 
So you can actually see it 

640
00:38:10,840 --> 00:38:15,280
happening by 2029. 
UK, when they announced their 2 

641
00:38:15,280 --> 00:38:17,360
billion funding, they said they 
want to be the first country in 

642
00:38:17,360 --> 00:38:19,960
the world to use quantum 
computing at scale by early 

643
00:38:20,240 --> 00:38:22,840
twenty 30s. 
So I guess we'll take that, that

644
00:38:22,880 --> 00:38:27,480
by early twenty 30s we will have
quantum computing used at scale 

645
00:38:27,600 --> 00:38:31,080
across applications where it's 
needed. 

646
00:38:31,360 --> 00:38:33,520
Primarily, in my opinion, it's 
going to be healthcare and 

647
00:38:33,520 --> 00:38:37,120
finance. 
You are when when we've talked 

648
00:38:37,120 --> 00:38:40,800
about Quantum, the potential 
upside is undeniable. 

649
00:38:42,000 --> 00:38:47,360
The idea of infinitely parallel 
scale computation done in a way 

650
00:38:47,360 --> 00:38:52,440
that accelerate traditional 
computing algorithmic progress 

651
00:38:52,440 --> 00:38:55,960
processes. 
But but, as with everything 

652
00:38:56,160 --> 00:38:59,440
phenomenally powerful or with 
huge potential, it can be used 

653
00:38:59,440 --> 00:39:03,240
for both good and bad. 
And, and, and you know, 

654
00:39:03,720 --> 00:39:06,240
conversations I have is about 
how regulation controls access 

655
00:39:06,240 --> 00:39:09,080
to these technologies, how 
regulation manages access and 

656
00:39:09,680 --> 00:39:11,720
the law policies, the use of 
them. 

657
00:39:12,240 --> 00:39:17,120
Carol, you're at the emerging 
edge of early stage precede 

658
00:39:17,120 --> 00:39:20,280
seed, you know, Series A 
investment within computational 

659
00:39:20,280 --> 00:39:22,440
world. 
You know, you have a a deep 

660
00:39:22,440 --> 00:39:26,000
history in physics and, and and 
you're speaking within these 

661
00:39:26,000 --> 00:39:28,560
ecosystem patterns all the time.
Do you? 

662
00:39:28,560 --> 00:39:32,880
Are you confident that quantum 
will take humanity to a utopic 

663
00:39:33,200 --> 00:39:35,760
outcome? 
I, I would say this is a 

664
00:39:35,760 --> 00:39:40,560
significant revolutionary 
technology which has some large 

665
00:39:40,560 --> 00:39:43,560
applications. 
I wouldn't, I wouldn't go 

666
00:39:43,560 --> 00:39:45,440
further than that. 
I wouldn't say this is, you 

667
00:39:45,440 --> 00:39:51,360
know, leading you to some utopia
and for the humanity, no, I just

668
00:39:51,360 --> 00:39:56,800
think it's the next big 
technological step for the 

669
00:39:56,800 --> 00:39:57,320
humanity.
