Quantum computing

Google's MPC designed targets stolen credentials and unauthorized transfers, not a break in the underlying cryptography.

Quantum computing presents a separate longer-term risk.

Google researchers estimated that a sufficiently powerful future machine could derive a Bitcoin private key from an exposed public key in about 09 minutes.

Roughly 6.9 million Bitcoin have exposed public keys.

This is out of Coindesk.

Now, before we read this, I want you to understand.

Nobody knows who the fuck Alice and Bob's quantum computing company is.

Keep that in mind.

So for Bitcoin Tonight, episode 46 on October 28th, we're talking about the great information freakout.

propagated on twitter recently let's check that out also river saying 47 million dollars per hour that's fast wonder what that could be coinbase will save you from quantum computing that's what they say we're going to have a video for that i believe uh you don't uh you know who never lost anyone's bitcoin quiz for you i bet y'all will not guess that one All right, Jeff Booth talks about capitalism versus capitalism.

And is balance real? The work-life give and take balance.

And then talking about how Fiat just may have killed beauty, Phil.

All right.

So, James Lavish, like I said before.

he said so far the great information freak out of october 22nd i guess there is a lot i mean you know here's a funny thing i saw a lot of these things that were kind of happening but some of them i didn't like the entire internet and every user is at risk to a massive cyber attack i must have had my head buried in the sand i didn't hear about that one but i guess it was important enough to tweet about quantum computing will soon break bitcoin and send it to zero i swear that has to be now every two months now it's the frequency of that fud is getting is getting more uh it's getting more repetitive Yeah.

Intensifying.

Interesting.

So let's start breaking down the different technologies that we have access to and I would like to address the first one quantum computing first of all and even though we have sensing communications next in the list but strictly speaking in terms of quantum computing where do we stand today professor and what are the challenges so-called challenges that we are currently facing in research that will lead to a quantum computer being usable in the future?

Well, I mean, the quantum computing as a field has grown so much over the last couple of decades is actually quite amazing.

And even early 2000 to mid 2000, it was all being very very vague, and people were talking it's a figment of the imagination of certain theoretical physicists.

It turns out that it's becoming faster than a standard science fiction becomes a reality.

There are other platforms as well.

Majorana qubits are one of the interesting propositions.

So I think what is interesting about quantum computing is even though as far as the silicon based classical computing is one of the single technological platform, It looks like today that almost all quantum computing platforms will probably reach certain level of usefulness in their own trajectory.

So we were able to, I was using atoms, you were able to sort of use atoms to conduct quantum experiments, to carry quantum information.

so i guess what's changed since then so that the theory of quantum computing back then was theoretical you probably had a few machines but on very few capabilities to enact you know large-scale programming in in the vocabulary of quantum we had very very few qubits back then you know you were lucky if you had one ball of atoms which you could just about call one qubit and you spent all of your time trying to make that qubit good good enough for some quite rudimentary experiments So the theory of how you build a quantum computer has existed since the 1960s and a bit like sort of the origins of computing and the Babbage machine and stuff like this.

It took a lot of experimental progress to this point now where you see sort of the theory of how it should behave and how you can program and use all this weird stuff as a computer coincide with what's possible with the hardware.

And fast forward today, what you see is actually a bit of a sort of sort of jostling along of theories getting better about telling you how you can apply quantum to different applications and how you can use theoretical methods to, for example, reduce errors.

So you can get down to sort of 10 to the minus three or 10 to the minus four error rates with sort of handfuls of qubits.

Then when people really get into the details, I mean, Orca in particular focuses a lot on the clock speed of our quantum computers.

So, you know, a lot of quantum computing can do all of this quite well, but they can be quite slow.

And when we start to run more hybrid applications where you have a quantum computer doing things side by side with a classical computational workload, the quantum computer needs to keep up and needs to be fast enough.

That brings a whole new level of computing power to the hands of scientists and industrialists.

Are you starting to think about the impact of quantum computing and what that's going to be able to do in the world of business? Or is that still too far down the road?

Concretely, today, it's too far.

And what I mean is that it's used and necessary, but in niche industries and sectors, it's important in cryptography and military applications.

It's five, six minutes in and out.

And so it means the tools and the defense have to be completely changed.

And the same will happen with quantum computing.

Wow, wow.

I don't think he's talking about shit that we've seen, but there's something out there that,

I think that something could be possibly that a lot of people aren't talking about is what's going to be the yin and yang between artificial intelligence and quantum computing.

Right.

Because I feel like that may sound a little bit like a quantum aspect because quantum is something that.

So the quantum era.

The U.S. is investing in quantum computing.

And we're going to kind of break this down a little bit.

But this is interesting what Trump said about it and also bringing up his uncle, which has been...

It's artificial intelligence that everyone's seeing and hearing about that's supercharging it.

The third leg of that computing stool is going to be scientifically relevant quantum.

quantum computing.

This is tricky.

Oh, yeah.

Although it was not quantum computers what I worked on, but the way you get to this physical system where you do quantum computing these days is very similar.

So I was working on cooling atoms down to a very... very, very cold state, like when they're quantum states, essentially.

When you want to make a quantum computer, the current approach is, I think, the most favorite approach today is to do neutral atoms in optical lattice, and you cool them down in exactly the same way, and then you essentially catch them in a standing wave of, like, made by lasers, So that's, I think, how you do it.