So the first thing I wanted to know is what's changed since we last spoke?

So a couple of things I think have caught my eye over the last 12 months or so.

So my colleagues who are researching quantum computing, together with their colleagues in the Quantum Scaling Alliance, published a white paper on how to build a quantum supercomputer.

So they're working with companies, some of the top academic institutions as well, outlining how you would go about producing a quantum computer built of quantum processing units And then secondly, just recently, a significant white paper was published by a couple of the US government research labs, the National Energy Research and Scientific Computing Center, or NERSC, and the Lawrence Berkeley National Lab, published a survey of the academic literature on quantum computing.

And what they've seen is that There's a constant trend of the amount of resources required to apply to quantum algorithms being reduced.

And also they looked at what the claims are being made by the vendors of quantum computing devices.

Some of them are claiming that over the next 10 years, there will be a 1 billion factor of improvement.

How do you make sure that actually those algorithms or those encryption methods are actually good encryption methods?

100 years on, the herd book is still going, but Nigel, this breed almost vanished from our hills and fields, didn't it?

Way back in the day, in the '50s, '60s, um, that's when the decline started.

They were classified as a dual-purpose breed.

They produced both meat and milk for the house.

But, um, you had then more specialized breeds come in, maybe from England, you know, coming over in the '50s, '60s.

But then you had Continentals that were really specialized come in in the '70s.

And the decline really started.

But that has completely turned around now, thanks to the efforts of people like yourselves.

What's been the influence of HPE Labs?

Back maybe ten years or so ago, we were working on memory fabrics and memory-driven computing.

The idea was that there would be massive amounts of data, which surely are seeing, and that this couldn't be processed in a single place.

We would have to have distributed memory and distributed computation devices.

And when you look inside a modern server chassis, that is indeed what is happening.

So out of our memory-driven computing work and work on memory fabrics, when we looked at that, we realized, well, actually, when you have all these different components that are involved in processing the data, how do you know that nothing's gone wrong? How do you know they're all in a good state? How do you protect that data? So we started looking at what it would mean to secure a memory fabric.

And then we became aware of other developments in other companies because a lot of technology advances actually takes place by collaborating between multiple companies.

So what measures are put in place so people will trust a confidential computing environment?