quantum computing

“Probably the most important ones are things we haven't thought of when it comes to applications of quantum computing.”

“More or less with the technology we have now, you can have a gate error rate of a few parts in a thousand, you know.”

“Well, I think in the near term, we're going to be trying out, and probably we have the best hopes for kind of hybrid classical quantum methods with some kind of classical feedback.”

“We are now getting on the verge of getting machines that will behave in ways that cannot be predicted, cannot be simulated. We'll be in the regime where we're genuinely discovering how the machine behaves by having one.”

“So now the threshold is about 99%. If you've got 90, if things work correctly in your quantum computer, 99% of the time, that's the turning point.”

“Oxford is actually one of the biggest research facilities in the world for quantum. We've got something like 200 people working on this, and so we're working on a bunch of different stuff.”

“Where we're at right now is that various labs around the world can give you 20 qubits. Ish. 10 to 20.”

“As far as I can see, may be the first application of quantum computing that people could actually be able to realize with, like, near-term devices with 50 or 60 or 70 qubits. And this application is to generate cryptographically secure random bits.”

“If you want to understand the language of nature, which is simulation I think the best way to do it is through a quantum computer, because after all you know, Physics and nature is quantum. And so therefore, but AI is, I think of it as an emulator of that simu…”