WEBVTT - How Quantum Computers Could Change the World

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<v Speaker 1>Pushkin. I'm Jacob Goldstein, and this is What's Your Problem,

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<v Speaker 1>a show about people using technology to solve problems that matter.

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<v Speaker 1>My guest today is Ben Bloom. He's the co founder

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<v Speaker 1>and CEO of a company called Atom Computing, and his

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<v Speaker 1>problem is this, how do you build a useful quantum computer?

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<v Speaker 1>If Ben succeeds, or if one of the other companies

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<v Speaker 1>working on quantum computers succeeds, quantum computers could make profound

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<v Speaker 1>improvements in everything from discovering new medicines to building cheaper

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<v Speaker 1>ways to store energy. Quantum computing today kind of reminds

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<v Speaker 1>me of where AI was, say, ten or fifteen years ago.

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<v Speaker 1>Huge possibility, lots of people working on it. Still not mainstream,

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<v Speaker 1>but it's worth talking about now for a few reasons.

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<v Speaker 1>For one thing, if or when quantum computers do work,

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<v Speaker 1>they will be an extremely big deal. The science is

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<v Speaker 1>clear that they can solve problems that are just too

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<v Speaker 1>complex for traditional computers or even AI to ever solve.

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<v Speaker 1>There are the potential energy and medical breakthroughs I mentioned before. Also,

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<v Speaker 1>quantum computers can crack a common, widely used form of encryption.

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<v Speaker 1>At the moment, giant tech companies like Google and IBM

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<v Speaker 1>and Amazon are spending billions of dollars on their own

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<v Speaker 1>quantum computing projects. Several smaller companies, including Ben Bloom's Atom Computing,

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<v Speaker 1>have had money pour in from venture capitalists and public markets,

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<v Speaker 1>and the Chinese government is spending billions more on its

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<v Speaker 1>own quantum computing project. A lot of money and a

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<v Speaker 1>lot of smart peace people and a high stakes outcome

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<v Speaker 1>if it works. That's why quantum computing is worth talking about. Now,

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<v Speaker 1>before we get to the interview, here's the basic idea

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<v Speaker 1>of how a quantum computer is different than a traditional computer,

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<v Speaker 1>a classical computer. In a classical computer, as you probably know,

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<v Speaker 1>the basic unit of information is a bit. A bit

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<v Speaker 1>can only be one of two.

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<v Speaker 2>Things, zero or one off or on. Amazingly, everything that

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<v Speaker 2>computers do is just built on lots and lots and

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<v Speaker 2>lots of zeros in ones. And you can do a

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<v Speaker 2>lot with zeros and ones. But you cannot do everything.

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<v Speaker 2>For one thing, you can't crack standard methods of online encryption.

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<v Speaker 2>For another, you can't build a complete model of even

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<v Speaker 2>a simple molecule, say the kind of molecule you would

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<v Speaker 2>use as a drug. This is where quantum computers come

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<v Speaker 2>in quantum computers are not built out of bits, out

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<v Speaker 2>of zeros and ones. They're built out of what are

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<v Speaker 2>called cubitsum bits. To build a quantum bit, you use

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<v Speaker 2>a quantum particle.

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<v Speaker 3>Then.

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<v Speaker 1>Bloom's company is called Atom Computing because they build each

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<v Speaker 1>cubit with a single atom, and when the quantum computer

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<v Speaker 1>is working, each atom, each cubit is not limited to

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<v Speaker 1>being in a single state, to being just a one

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<v Speaker 1>or zero in a weird quantumy way, a single cubit

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<v Speaker 1>can be in many different states at once. And on

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<v Speaker 1>top of that, when you combine cubits, what happens to

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<v Speaker 1>each one instantly affects the others. What this means in

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<v Speaker 1>practice is that a quantum computer with enough cubits could

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<v Speaker 1>solve some problems that the most powerful classical computers literally

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<v Speaker 1>could not solve in a million years. But quantum computers

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<v Speaker 1>today are too small to do that, or at least

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<v Speaker 1>they can't do it for any practical worldly problems. They

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<v Speaker 1>just don't have enough cubits, and as Ben and I

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<v Speaker 1>discuss in our conversation, building a function in quantum computer

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<v Speaker 1>with lots of cubas is in fact a very hard

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<v Speaker 1>engineering problem. So to start, I asked Ben to tell

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<v Speaker 1>me how the field of quantum computing will look in

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<v Speaker 1>a few years, when, if things go well, those engineering

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<v Speaker 1>problems will have been solved.

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<v Speaker 3>So I think in five years what you'll see is

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<v Speaker 3>quantum computers attacking problems for national labs, for defense, for

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<v Speaker 3>all these kind of esoteric industries who could call them

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<v Speaker 3>that want calculations done that cannot be done on classical computers.

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<v Speaker 3>It's probably going to be something like materials simulations. So

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<v Speaker 3>how electrons behave in materials?

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<v Speaker 4>And why are national labs interested in that? Ooh?

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<v Speaker 3>I think that's a funny question. I think the Department

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<v Speaker 3>of Energy is really interested in understanding materials at their extremes.

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<v Speaker 4>OK.

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<v Speaker 3>And I think that's true to both make it more

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<v Speaker 3>efficient for the USA government to deal with all of

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<v Speaker 3>the equipment they have, and also really true I mean,

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<v Speaker 3>obviously for the Department of Energy main mission, which is

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<v Speaker 3>understanding nuclear weapons and doing that without having to test

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<v Speaker 3>nuclear weapons.

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<v Speaker 1>So five years from now, quantum computers are where classical

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<v Speaker 1>computers were in the nineteen forties, right, A few giant,

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<v Speaker 1>crazy expensive ones being used by the government or a

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<v Speaker 1>couple governments. Two things people talk a lot about with

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<v Speaker 1>quantum computing are drug discovery, discovery of new drugs, and energy.

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<v Speaker 1>For some reason, people talk about energy, they talk about batteries,

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<v Speaker 1>that kind of thing. So if things go relatively well

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<v Speaker 1>in quantum computing, like, are we going to be seeing

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<v Speaker 1>meaningful impacts on those fields and what in ten years

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<v Speaker 1>and if so, how will they be different?

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<v Speaker 3>Yeah? I do think we will. I mean, I think

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<v Speaker 3>ten fifteen years we will see new drugs on the

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<v Speaker 3>market that we're designed on a quantic computer. I think

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<v Speaker 3>we will see batteries they can do more recharge cycles

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<v Speaker 3>because we understand the materials and understand the various properties

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<v Speaker 3>that you know, cause them to lose charge over recharge cycles, and.

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<v Speaker 1>More recharge cycles means cheaper in the long run importantly, right,

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<v Speaker 1>Like batteries are constrained by cost now, and if one

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<v Speaker 1>battery can last longer, that effectively means you it's cheaper

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<v Speaker 1>per cycle.

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<v Speaker 4>Yeah.

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<v Speaker 3>And I think another example of this is, you know,

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<v Speaker 3>the one that people throw out a lot is kind

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<v Speaker 3>of understanding, you know, how you actually do fertilizer production. Like,

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<v Speaker 3>it turns out a few percent of the world's energy

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<v Speaker 3>is spent on fertilizer production. And so if you can

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<v Speaker 3>find a new catalyst that could do that same process

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<v Speaker 3>with slightly lower temperature or slightly less pressure, you know,

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<v Speaker 3>marginal savings in that process turn into gigantic global savings

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<v Speaker 3>in an energy budget sense. And so all of these

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<v Speaker 3>problems kind of have this general idea behind them, which

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<v Speaker 3>is that chemicals and materials and understanding the physical processes

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<v Speaker 3>which we kind of have built our old on top

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<v Speaker 3>of understanding them to a point where you could engineer

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<v Speaker 3>around them or engineer them to work better, could have

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<v Speaker 3>these you know, giant lever arm effects.

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<v Speaker 1>So it's basically, I mean a more and better drugs

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<v Speaker 1>and then be just efficiency gains. So that's fewer emissions,

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<v Speaker 1>more power, lower costs. Like those are the dreams broadly.

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<v Speaker 4>Yeah, okay, so where are we today?

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<v Speaker 3>Yeah, we're building toy systems. I mean, there's no question

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<v Speaker 3>I think that over the past I would say two years,

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<v Speaker 3>a lot of technologies, including the one I work on,

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<v Speaker 3>neutral atoms, have kind of crossed a threshold where you

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<v Speaker 3>can build better and better cubits by taking that quantum information,

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<v Speaker 3>spreading it around and doing error correction. And one of

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<v Speaker 3>the examples that you know is probably what some sense

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<v Speaker 3>started this entire race is it turns out you can

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<v Speaker 3>factor numbers on a quantum computer efficiently.

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<v Speaker 1>Which sounds trivial to the initiated, but it turns out,

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<v Speaker 1>among other things, if I have this right to allow

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<v Speaker 1>you to crack most of the encryption on the Internet,

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<v Speaker 1>true or not true, It's true.

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<v Speaker 3>The kind of encryption we have now was was a choice,

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<v Speaker 3>and in some sense right now it's even a choice

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<v Speaker 3>in your browser or in your operating system. And the

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<v Speaker 3>likes of you know, Apple or you know, the Linux

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<v Speaker 3>maintainers or Microsoft, they can literally just you know, quote

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<v Speaker 3>unquote flip a switch and it can switch to what

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<v Speaker 3>they call is post quantum cryptography.

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<v Speaker 1>So people have come up with new systems that are

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<v Speaker 1>quantum resistant that can work to secure our data in

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<v Speaker 1>the post quantum world.

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<v Speaker 3>Exactly. Yeah, and so I think that the future is

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<v Speaker 3>bright in that sense. Now. The funny thing that you know,

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<v Speaker 3>governments around the world are a little probably freaked out

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<v Speaker 3>about is the past, which is that we've been using

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<v Speaker 3>for you know, decades upon decades, we've been transmitting information

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<v Speaker 3>between you know, people and businesses and government enter prizes

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<v Speaker 3>and stuff like that. That if someone stored it and

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<v Speaker 3>waited until they had a quantum computer. They can just

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<v Speaker 3>go and read in the future when quantic computers are available.

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<v Speaker 3>And so I think that is the kind of issue

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<v Speaker 3>that I think most people think of when they think, oh,

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<v Speaker 3>they're going to break encryption. How bad is that going

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<v Speaker 3>to be. It's not going to be, you know, five

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<v Speaker 3>years from now that people are worried about how do

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<v Speaker 3>you pay for something online? It's more going to be

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<v Speaker 3>these kind of you know, big government issues of Okay,

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<v Speaker 3>you know, twenty years ago we sent a cable to

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<v Speaker 3>so and so and it said this.

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<v Speaker 1>I mean, we can let's talk about geopolitics here. Now,

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<v Speaker 1>when people say let's talk about geopolitics in the US,

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<v Speaker 1>they basically mean let's talk about China, and specifically, I.

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<v Speaker 4>Mean, what happens if China gets there first?

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<v Speaker 1>Right? Like, I do feel like, I know that's a

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<v Speaker 1>crude way to ask the question, but I also know

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<v Speaker 1>China is putting a lot of money into quantum computing,

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<v Speaker 1>right Like? Is there something of a race here? Is

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<v Speaker 1>that a way to think about it?

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<v Speaker 3>I think it is a race. I mean, I think

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<v Speaker 3>that they're doing it differently than the US. I mean,

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<v Speaker 3>at the US. You know, my company out in Computing

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<v Speaker 3>is one of many companies in the United States who

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<v Speaker 3>are pursuing quantic computing, are trying to build a quantic computer.

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<v Speaker 3>I think it's all private. You know, there is some

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<v Speaker 3>public funding which we're accessing. There's Darper programs and things

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<v Speaker 3>like that, but it's mostly private funding. Whereas you talk

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<v Speaker 3>about what's going on in China, and I think there

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<v Speaker 3>are big governmental initiatives, and I also think there are

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<v Speaker 3>in some sense state backed companies that exist.

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<v Speaker 1>This is very much in keeping with both of our countries, right,

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<v Speaker 1>exactly what you would expect.

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<v Speaker 4>Perhaps it's a test of our various systems.

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<v Speaker 3>Yeah, yeah, So, I mean I think that the question

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<v Speaker 3>of you know, is it bad if China, you know,

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<v Speaker 3>builds a quantum computer and we don't have one, I mean, potentially,

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<v Speaker 3>I mean, I think that a lot of the advances

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<v Speaker 3>we were talking about earlier. Yeah, there are performance gains,

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<v Speaker 3>efficiency gains and things like that, but those are the

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<v Speaker 3>kinds of things that really I would say, drive an

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<v Speaker 3>economy in the sense where the numbers associated with them

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<v Speaker 3>are so so large that it's hard for me to

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<v Speaker 3>wrap my head around. Like if you can decrease the

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<v Speaker 3>energy budget of your country by five percent. Uh, that's

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<v Speaker 3>a huge number, and I think it can actually make

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<v Speaker 3>big changes possible.

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<v Speaker 4>Yeah. I mean in a way, it makes you much richer.

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<v Speaker 1>Right, it allows you to do things you could otherwise

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<v Speaker 1>not afford to do, or you wouldn't otherwise have the

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<v Speaker 1>resources to do. Y. I mean, presumably it gives you

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<v Speaker 1>some kind of cryptographic power.

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<v Speaker 3>Well, I mean it goes back to this idea that

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<v Speaker 3>there's you know, there's this store now, decrypt later philosophy,

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<v Speaker 3>which I've heard, you know, espoused by various government officials

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<v Speaker 3>as you know, others are doing this and so on

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<v Speaker 3>and so forth, which is that they're you know, storing

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<v Speaker 3>all the communications and things like that. I think that

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<v Speaker 3>is a problem. There's no question if if you know,

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<v Speaker 3>we're successful and we build quantic computers, you will be

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<v Speaker 3>able to decrypt later. I guess the question is how

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<v Speaker 3>useful is old information? That would be the problem, And

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<v Speaker 3>the question is how how bad is that going to be?

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<v Speaker 3>Maybe it's not so so bad on individual scale, but

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<v Speaker 3>on a kind of company scale or a country scale,

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<v Speaker 3>maybe it could be quite quite problematic.

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<v Speaker 1>So let's talk a little more about the difference between

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<v Speaker 1>quantum computers and regular computers, classical computers. And maybe one

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<v Speaker 1>way to do that is to talk about classical computers,

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<v Speaker 1>the kind of computers we have now, the kind of

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<v Speaker 1>computers that underpin AI are bad at, like what is

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<v Speaker 1>their meaningful limitation in this context.

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<v Speaker 3>So, say you have an electron and you want to

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<v Speaker 3>understand the properties of that electron. And because you're designing

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<v Speaker 3>a drug, you're you're looking at a material, You're doing

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<v Speaker 3>something like that.

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<v Speaker 1>A particular electron on a particular molecule.

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<v Speaker 3>Yah, yeah, yeah, yeah, And all you want your classical

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<v Speaker 3>computer to do is write down the state of that electron,

0:13:01.876 --> 0:13:05.036
<v Speaker 3>very very precisely, where is it and what is it doing,

0:13:05.756 --> 0:13:09.356
<v Speaker 3>and it's spin and things like that. Yeah yeah, Now wow.

0:13:09.396 --> 0:13:11.476
<v Speaker 3>You try to write that down, and it turns out

0:13:11.516 --> 0:13:14.076
<v Speaker 3>you use a lot of binary data. You use a

0:13:14.076 --> 0:13:16.716
<v Speaker 3>lot of classical data to do that. Now, if you

0:13:16.796 --> 0:13:20.956
<v Speaker 3>want two electrons, you have to use more classical data

0:13:21.036 --> 0:13:24.276
<v Speaker 3>describe it. But it turns out, and this is where

0:13:24.636 --> 0:13:28.116
<v Speaker 3>quantum mechanics starts mattering. It turns out you don't just

0:13:28.196 --> 0:13:31.476
<v Speaker 3>care about the individual electrons in their states. You actually

0:13:31.556 --> 0:13:34.436
<v Speaker 3>care about all the correlations, all the ways the two

0:13:34.476 --> 0:13:37.556
<v Speaker 3>electrons are interacting with each other and are linked together,

0:13:38.156 --> 0:13:41.036
<v Speaker 3>and that turns out to require more classical data to

0:13:41.076 --> 0:13:45.516
<v Speaker 3>write down and very very quickly with tens to less

0:13:45.516 --> 0:13:48.316
<v Speaker 3>than one hundred electrons. If you tried to write down

0:13:48.636 --> 0:13:52.116
<v Speaker 3>all the classical data you needed to describe that situation

0:13:53.436 --> 0:13:57.276
<v Speaker 3>you would need, I think it was more bits of

0:13:57.356 --> 0:14:00.716
<v Speaker 3>information than there are, like atoms in our universe.

0:14:01.116 --> 0:14:03.676
<v Speaker 1>It would be impossible. It would just be impossible for

0:14:03.716 --> 0:14:06.956
<v Speaker 1>a classical computer yourself. And so it is the case

0:14:06.996 --> 0:14:12.036
<v Speaker 1>that like once you get to the really fundamental level

0:14:12.196 --> 0:14:14.756
<v Speaker 1>of what's going on with energy or what's going on

0:14:14.836 --> 0:14:18.476
<v Speaker 1>with matter, with materials, it behaves in a quantum way,

0:14:19.116 --> 0:14:23.556
<v Speaker 1>and classical computers can't understand what's going on once you

0:14:23.596 --> 0:14:27.516
<v Speaker 1>get to that level, and quantum computers, at least the

0:14:27.516 --> 0:14:31.116
<v Speaker 1>theoretical quantum computer, if you could solve the engineering problems,

0:14:31.556 --> 0:14:32.196
<v Speaker 1>could do it.

0:14:32.836 --> 0:14:36.156
<v Speaker 3>Yeah exactly. I mean, I think that the cool thing

0:14:37.636 --> 0:14:40.876
<v Speaker 3>about quantum computing we kind of do have Norse stars.

0:14:41.236 --> 0:14:43.076
<v Speaker 3>We know that if you can build a quantic computer,

0:14:43.276 --> 0:14:46.916
<v Speaker 3>you can factor large numforts. We know that if you

0:14:46.956 --> 0:14:49.316
<v Speaker 3>can build a quantic computer that you know, can deal

0:14:49.356 --> 0:14:52.436
<v Speaker 3>with billions of operations that you can find the you know,

0:14:52.516 --> 0:14:55.476
<v Speaker 3>structure of some molecule or something like that. And so

0:14:55.556 --> 0:14:58.876
<v Speaker 3>we know that the goal is go from the short

0:14:58.916 --> 0:15:02.236
<v Speaker 3>little calculations you can do now to longer and longer

0:15:02.276 --> 0:15:04.796
<v Speaker 3>and longer calculations to the point where you can reach

0:15:05.076 --> 0:15:05.636
<v Speaker 3>these goals.

0:15:05.716 --> 0:15:09.356
<v Speaker 4>Yes, and so maybe there's one.

0:15:09.636 --> 0:15:16.876
<v Speaker 1>There's one sort of problem broadly stated that seems particularly

0:15:17.196 --> 0:15:19.076
<v Speaker 1>interesting and worth discussing.

0:15:21.476 --> 0:15:23.156
<v Speaker 4>Let me see if I have this right? Is it

0:15:23.276 --> 0:15:24.076
<v Speaker 4>right that.

0:15:26.036 --> 0:15:30.516
<v Speaker 1>Each bit, each cubit of a quantum computer needs to

0:15:30.596 --> 0:15:34.596
<v Speaker 1>be entirely isolated. It needs to be sort of not

0:15:34.916 --> 0:15:37.916
<v Speaker 1>in touch with anything in the world. No, not a photon,

0:15:38.116 --> 0:15:41.396
<v Speaker 1>not another molecule, not anything, right, because it is sort

0:15:41.436 --> 0:15:46.916
<v Speaker 1>of sitting in this what a quantum superposition I'm reaching here,

0:15:47.636 --> 0:15:50.516
<v Speaker 1>and if anything, if anybody sees it, if any light

0:15:50.596 --> 0:15:52.676
<v Speaker 1>photon hits it, if anything happens to it, it kind

0:15:52.676 --> 0:15:56.316
<v Speaker 1>of breaks, it decoheres and it doesn't work right? And

0:15:56.436 --> 0:16:00.676
<v Speaker 1>is it fair that it's extremely hard for maybe obvious reasons,

0:16:00.956 --> 0:16:03.636
<v Speaker 1>everything is touching everything else all the time. Is that

0:16:03.756 --> 0:16:06.996
<v Speaker 1>like a central problem? Is that a problem worth talking about?

0:16:07.356 --> 0:16:11.036
<v Speaker 3>It is because I think it's actually that the fundamental

0:16:11.116 --> 0:16:14.396
<v Speaker 3>challenge of building a quantum computer is having that isolation,

0:16:15.156 --> 0:16:18.556
<v Speaker 3>but then making sure that you have complete control over

0:16:18.636 --> 0:16:20.236
<v Speaker 3>that quantum system.

0:16:19.996 --> 0:16:22.116
<v Speaker 4>Right, And like, how could you have both at once?

0:16:22.196 --> 0:16:22.316
<v Speaker 3>Right?

0:16:22.316 --> 0:16:26.036
<v Speaker 1>If it's completely isolated, how can you control it? So,

0:16:26.716 --> 0:16:29.196
<v Speaker 1>I mean, let's talk a little bit about your approach.

0:16:30.276 --> 0:16:35.236
<v Speaker 1>You are working with Microsoft to build a thing for

0:16:36.916 --> 0:16:39.476
<v Speaker 1>the Novo NORDESK foundation and what is part of the

0:16:39.556 --> 0:16:40.596
<v Speaker 1>Danish government?

0:16:41.036 --> 0:16:45.956
<v Speaker 4>Yeah? Yeah, so what are you building for the Danes? Yeah?

0:16:45.996 --> 0:16:50.716
<v Speaker 3>So it's a twelve hundred cubit system, okay, And that

0:16:50.876 --> 0:16:52.836
<v Speaker 3>is a kind of our part of this, which is

0:16:52.836 --> 0:16:54.996
<v Speaker 3>that we're building the hardware. So it's a system that

0:16:55.156 --> 0:16:58.316
<v Speaker 3>has all of the classical control around it, all the

0:16:58.436 --> 0:17:01.356
<v Speaker 3>quantum control around it, so that they can trap, cool,

0:17:02.196 --> 0:17:05.116
<v Speaker 3>manipulate twelve hundred physical cubits.

0:17:04.716 --> 0:17:06.836
<v Speaker 4>Okay, and each one of those is one atom.

0:17:07.156 --> 0:17:08.556
<v Speaker 3>Yes, each one of those is one atom.

0:17:08.636 --> 0:17:10.716
<v Speaker 4>Yeah, very small number of atoms.

0:17:10.796 --> 0:17:13.076
<v Speaker 3>Yeah. And actually the quantum part of our system is

0:17:13.156 --> 0:17:16.036
<v Speaker 3>very very small, Like it's like half a millimeter by

0:17:16.116 --> 0:17:17.876
<v Speaker 3>half a millimeter. It's very very.

0:17:17.796 --> 0:17:19.996
<v Speaker 4>There's like a box or something. What is it? What

0:17:20.516 --> 0:17:20.756
<v Speaker 4>is it?

0:17:20.876 --> 0:17:22.716
<v Speaker 3>Yeah? Yeah, No, it is pretty much.

0:17:22.596 --> 0:17:26.076
<v Speaker 1>A box half a millimeter by half a millimeter, which

0:17:26.116 --> 0:17:29.436
<v Speaker 1>is I don't know what, like a size of like

0:17:29.476 --> 0:17:30.876
<v Speaker 1>a hair or something like.

0:17:30.916 --> 0:17:31.596
<v Speaker 4>It's so small.

0:17:31.596 --> 0:17:32.436
<v Speaker 3>It's a little bigger than it.

0:17:32.516 --> 0:17:34.356
<v Speaker 4>Okay, but yeah, what is it like? But it's bigger

0:17:34.396 --> 0:17:36.356
<v Speaker 4>than like a little fingernail trimming.

0:17:36.076 --> 0:17:37.716
<v Speaker 3>Right, yeah, fingernail trimming.

0:17:37.716 --> 0:17:40.996
<v Speaker 1>That's a good bigernail trimming. And that's where all of

0:17:41.036 --> 0:17:43.356
<v Speaker 1>the action is. That's the that's it. That's all of

0:17:43.356 --> 0:17:48.876
<v Speaker 1>your Yeah, I guess twelve hundred atoms. Yeah, And what's

0:17:48.916 --> 0:17:52.036
<v Speaker 1>going on in that tiny box? What do you start with?

0:17:52.916 --> 0:17:54.276
<v Speaker 1>It's a metal, right, what's the element?

0:17:54.956 --> 0:17:55.796
<v Speaker 3>Uh? Uturbium?

0:17:55.836 --> 0:17:57.956
<v Speaker 1>Okay, so you start with this element, just a thing

0:17:57.996 --> 0:18:00.596
<v Speaker 1>that exists in the world called U turbium. You don't

0:18:00.596 --> 0:18:01.436
<v Speaker 1>need very much of it.

0:18:01.476 --> 0:18:02.076
<v Speaker 4>What do you do?

0:18:03.596 --> 0:18:03.716
<v Speaker 1>So?

0:18:03.836 --> 0:18:05.676
<v Speaker 3>First off, we have to take we have a chunk

0:18:05.676 --> 0:18:07.956
<v Speaker 3>of it, so we have to heat it up. So

0:18:08.036 --> 0:18:11.116
<v Speaker 3>you go from a solid gas. That gas kind of

0:18:11.156 --> 0:18:14.956
<v Speaker 3>streams down our system. We have lots of lasers kind

0:18:14.996 --> 0:18:17.796
<v Speaker 3>of hit that gas so that it goes from hundreds

0:18:17.836 --> 0:18:21.276
<v Speaker 3>of kelvin down to about a microkelvin, so ten to

0:18:21.316 --> 0:18:24.436
<v Speaker 3>the minus six kelvin, so very very cold.

0:18:24.236 --> 0:18:27.676
<v Speaker 1>And zero zero degrees kelvin is absolute zero. It's as

0:18:27.676 --> 0:18:29.996
<v Speaker 1>cold as anything in the universe can ever be. So

0:18:30.036 --> 0:18:33.676
<v Speaker 1>you're making it very, very very cold. And is that

0:18:33.716 --> 0:18:35.676
<v Speaker 1>because you don't want it moving around, because you want

0:18:35.676 --> 0:18:36.316
<v Speaker 1>it isolated?

0:18:36.356 --> 0:18:39.636
<v Speaker 3>That's the exactly okay, yeah, pretty much like the temperature

0:18:39.716 --> 0:18:41.716
<v Speaker 3>is pretty much the velocity it goes at and things

0:18:41.756 --> 0:18:44.916
<v Speaker 3>like that. So we get the atoms, we get them

0:18:44.916 --> 0:18:48.036
<v Speaker 3>down to a microkelvin, and then we kind of shuttle

0:18:48.076 --> 0:18:50.156
<v Speaker 3>them using a laser. We kind of push them up

0:18:50.596 --> 0:18:53.996
<v Speaker 3>into that tiny little area that's half a millimeter by

0:18:53.996 --> 0:18:54.316
<v Speaker 3>half a.

0:18:54.236 --> 0:18:57.836
<v Speaker 4>Million little box that's computer sort of.

0:18:58.476 --> 0:18:59.836
<v Speaker 3>And then all of a sudden we get to this

0:18:59.876 --> 0:19:03.156
<v Speaker 3>little area. And what we do through that microscope objective

0:19:03.316 --> 0:19:05.396
<v Speaker 3>is we put a big beam into the back of

0:19:05.396 --> 0:19:08.036
<v Speaker 3>that microscope objective. And the reason why we put a

0:19:08.076 --> 0:19:11.756
<v Speaker 3>big beam when I say, it's like twenty millimeters yeah, okay,

0:19:11.756 --> 0:19:14.396
<v Speaker 3>So you're shooting light through the microscope lens, let's say

0:19:14.556 --> 0:19:18.436
<v Speaker 3>lens lens, okay, and when you do that, you put

0:19:18.436 --> 0:19:22.196
<v Speaker 3>a big light beam into the back of that lensky

0:19:22.236 --> 0:19:24.436
<v Speaker 3>What it does is it focuses down really really tight,

0:19:24.596 --> 0:19:27.236
<v Speaker 3>and it creates an optical tweezer. Okay, And this won

0:19:27.316 --> 0:19:30.876
<v Speaker 3>the Nobel Prize, and I think it was like twenty

0:19:30.996 --> 0:19:34.196
<v Speaker 3>nineteen or something like that. The cool thing here is

0:19:34.236 --> 0:19:37.716
<v Speaker 3>that this optical tweezer at the very focus of that

0:19:37.836 --> 0:19:41.436
<v Speaker 3>lens gets really really tight and diverges really really quickly

0:19:42.196 --> 0:19:45.916
<v Speaker 3>and for some light, and we very very carefully choose

0:19:45.996 --> 0:19:48.916
<v Speaker 3>what kind of laser we're doing this with. Atoms are

0:19:49.396 --> 0:19:52.436
<v Speaker 3>tracted to the point of highest intensity, okay, and so

0:19:52.516 --> 0:19:55.116
<v Speaker 3>the atom kind of gets sucked in to the optical

0:19:55.156 --> 0:19:58.476
<v Speaker 3>tweezer and then it wants to sit at the exact

0:19:58.636 --> 0:20:00.156
<v Speaker 3>center of that pholk.

0:20:00.196 --> 0:20:02.676
<v Speaker 1>So it's called an optical tweezer because it is grabbing

0:20:02.796 --> 0:20:04.196
<v Speaker 1>a single atom.

0:20:04.516 --> 0:20:07.996
<v Speaker 3>Yeah, okay, So what we do is we do a

0:20:08.036 --> 0:20:09.756
<v Speaker 3>bunch of tricks so that we we don't just create

0:20:09.796 --> 0:20:15.916
<v Speaker 3>one optical tweezer, but generally speaking, we build display technology

0:20:16.236 --> 0:20:20.836
<v Speaker 3>that creates the image of many, many optical tweezers and

0:20:20.956 --> 0:20:23.036
<v Speaker 3>just stuffs that into the back of the lens.

0:20:23.316 --> 0:20:27.676
<v Speaker 1>So you basically have like what twelve hundred optical tweezers

0:20:27.676 --> 0:20:30.596
<v Speaker 1>in each way, he grabs one atom and exactly sticks

0:20:30.636 --> 0:20:31.316
<v Speaker 1>it in the box.

0:20:31.996 --> 0:20:33.756
<v Speaker 3>Exactly. No, no, that is exactly what we do.

0:20:33.836 --> 0:20:36.996
<v Speaker 1>So now there's this box that's ready to help someone

0:20:37.076 --> 0:20:40.436
<v Speaker 1>figure out something about the world. What is something about

0:20:40.476 --> 0:20:43.836
<v Speaker 1>the world that it might actually help them understand.

0:20:44.436 --> 0:20:47.436
<v Speaker 3>Yeah, So, say there's a user in Denmark and Copenhagen

0:20:47.436 --> 0:20:50.196
<v Speaker 3>who wants to understand the ground state of some molecule.

0:20:50.956 --> 0:20:54.076
<v Speaker 3>They write down an algorithm that says, I am going

0:20:54.156 --> 0:20:58.756
<v Speaker 3>to simulate many, many electrons, and I am going to

0:20:58.876 --> 0:21:01.796
<v Speaker 3>use it such that it kind of gets down to

0:21:01.836 --> 0:21:04.076
<v Speaker 3>the lowest energy state, Okay, and then I will read

0:21:04.116 --> 0:21:08.076
<v Speaker 3>out the cubits in their various positions and things like that. Aha,

0:21:08.196 --> 0:21:10.876
<v Speaker 3>so that we can actually understand what was the state

0:21:10.956 --> 0:21:13.396
<v Speaker 3>of the electrons in this simulated system.

0:21:13.956 --> 0:21:17.716
<v Speaker 1>So are they're sort of saying to the quantum computer

0:21:17.916 --> 0:21:20.476
<v Speaker 1>that you have built, act like you are this molecule.

0:21:20.476 --> 0:21:23.436
<v Speaker 1>Act like you are the electrons in this molecule exactly

0:21:23.476 --> 0:21:26.356
<v Speaker 1>in their lowest energy state, and tell me what state

0:21:26.356 --> 0:21:41.876
<v Speaker 1>you're in, Yes, exactly. We'll be back in just a minute. Hey,

0:21:42.076 --> 0:21:44.036
<v Speaker 1>it's Jacob, and I want to tell you that I

0:21:44.036 --> 0:21:47.636
<v Speaker 1>am hosting a new show called Business History. It's about

0:21:47.676 --> 0:21:52.396
<v Speaker 1>the incredible innovations and massive failures and unbelievable characters in

0:21:52.436 --> 0:21:55.356
<v Speaker 1>the history of business. And I hope I think the

0:21:55.436 --> 0:21:59.236
<v Speaker 1>show provides insights about how business works today. At the

0:21:59.396 --> 0:22:01.796
<v Speaker 1>end of today's episode of What's Your Problem, We're going

0:22:01.876 --> 0:22:04.276
<v Speaker 1>to play you a clip from Business History.

0:22:04.356 --> 0:22:05.276
<v Speaker 4>It's the story.

0:22:04.956 --> 0:22:08.476
<v Speaker 1>Behind the video game company Atari, and they're surprising early

0:22:08.556 --> 0:22:11.916
<v Speaker 1>hire of a young hippie named Steve Jobs. The show's

0:22:11.956 --> 0:22:14.396
<v Speaker 1>called Business History. You can listen to it wherever you're

0:22:14.396 --> 0:22:17.196
<v Speaker 1>listening right now, and will play that clip at the end.

0:22:17.116 --> 0:22:18.036
<v Speaker 4>Of today's episode.

0:22:22.356 --> 0:22:25.276
<v Speaker 1>One of the big problems in quantum computing is detecting

0:22:25.316 --> 0:22:28.676
<v Speaker 1>and correcting errors. This is a hard problem for a

0:22:28.676 --> 0:22:31.276
<v Speaker 1>few reasons. One of those reasons gets at the heart

0:22:31.316 --> 0:22:35.636
<v Speaker 1>of quantum weirdness, and it's this. When a quantum computer

0:22:35.756 --> 0:22:39.036
<v Speaker 1>is working, the cubits are essentially in many states at once.

0:22:39.596 --> 0:22:42.156
<v Speaker 1>But if at a given moment you will look at

0:22:42.196 --> 0:22:44.996
<v Speaker 1>a cubit try and figure out what state it's in,

0:22:45.396 --> 0:22:48.516
<v Speaker 1>it will instantly snap into a single state. All that

0:22:48.636 --> 0:22:52.436
<v Speaker 1>beautiful quantum weirdness of multiple states at once will suddenly disappear,

0:22:52.796 --> 0:22:56.236
<v Speaker 1>and your quantum computer will not work. There's been a

0:22:56.236 --> 0:22:58.716
<v Speaker 1>lot of progress on this in the past few years,

0:22:59.356 --> 0:23:02.436
<v Speaker 1>but for the most part, quantum error correction still only

0:23:02.476 --> 0:23:05.756
<v Speaker 1>works at a scale too small to be useful for practical,

0:23:05.956 --> 0:23:09.796
<v Speaker 1>real world problems. I asked Ben, why.

0:23:09.716 --> 0:23:12.836
<v Speaker 3>All the classical stuff we're building, all the laser projectors,

0:23:12.876 --> 0:23:15.596
<v Speaker 3>all the spot makers, all these things. As you scale

0:23:15.636 --> 0:23:18.876
<v Speaker 3>those numbers up, if you know you're a stray light

0:23:19.156 --> 0:23:21.196
<v Speaker 3>or whatever it is you're doing for your quantum computer,

0:23:21.236 --> 0:23:24.556
<v Speaker 3>if that increases, then all of a sudden, your quantumeric

0:23:24.596 --> 0:23:26.436
<v Speaker 3>corection doesn't quite work as well as you want it to.

0:23:29.196 --> 0:23:32.076
<v Speaker 4>It seems very hard, yes, very hard.

0:23:32.156 --> 0:23:33.556
<v Speaker 1>Like I mean, I talk to a lot of Italy

0:23:33.636 --> 0:23:37.516
<v Speaker 1>do things that sae hard, but this seems like wild hard.

0:23:38.556 --> 0:23:41.796
<v Speaker 3>I would say that the last twenty four months there

0:23:41.796 --> 0:23:44.876
<v Speaker 3>have been so many amazing advances. I would say everyone

0:23:44.916 --> 0:23:47.796
<v Speaker 3>in the industry is more excited than they've ever been

0:23:48.156 --> 0:23:51.116
<v Speaker 3>because I think you go back two years ago and

0:23:51.716 --> 0:23:55.836
<v Speaker 3>no one had demonstrated quantumeric correction at any scale. Now

0:23:55.836 --> 0:23:59.316
<v Speaker 3>there's US, there's Google, there's lots of other companies that

0:23:59.356 --> 0:24:03.316
<v Speaker 3>have now demonstrated quantumeric corection. Yeah, a small number of cubits,

0:24:03.836 --> 0:24:05.836
<v Speaker 3>but I think that is a key milestone, which is

0:24:05.876 --> 0:24:09.116
<v Speaker 3>to say, look that theory is right, Like your errors

0:24:09.396 --> 0:24:12.356
<v Speaker 3>go down as you spread this quantum information across your

0:24:12.476 --> 0:24:15.596
<v Speaker 3>quantum processor. And I think that's a huge, huge boon

0:24:15.716 --> 0:24:18.276
<v Speaker 3>because it says, no, all you have to do is

0:24:18.356 --> 0:24:20.636
<v Speaker 3>just get to larger and larger and larger numbers.

0:24:21.956 --> 0:24:24.116
<v Speaker 1>So there's this phrase, I think I heard you use

0:24:24.156 --> 0:24:27.316
<v Speaker 1>it or maybe I read it, which is commercial advantage. Right.

0:24:27.356 --> 0:24:33.316
<v Speaker 1>You've talked about sort of governments being initial users. What's

0:24:33.396 --> 0:24:37.676
<v Speaker 1>the universe where a quantum computer becomes practical for a

0:24:37.756 --> 0:24:38.636
<v Speaker 1>private company?

0:24:38.956 --> 0:24:41.556
<v Speaker 3>Yeah, I mean I think that like a pharmaceutical company

0:24:41.596 --> 0:24:44.156
<v Speaker 3>like Novo Nordisk or Eli Lilly or something like that.

0:24:44.356 --> 0:24:48.196
<v Speaker 3>I think they're going to have simulation frameworks that you know,

0:24:48.836 --> 0:24:51.236
<v Speaker 3>engineers are going to sit down at their desks and

0:24:51.596 --> 0:24:53.956
<v Speaker 3>use those simulation frameworks, and it's going to be constantly

0:24:53.996 --> 0:24:55.796
<v Speaker 3>sending jobs to a quantum computer.

0:24:56.236 --> 0:24:59.316
<v Speaker 4>Tell me about this molecule in its lowest.

0:24:59.036 --> 0:25:02.516
<v Speaker 3>Energy state exactly, yeah, or dynamics or something like.

0:25:02.476 --> 0:25:06.116
<v Speaker 1>That, like what are the dynamics if this drug binds

0:25:06.156 --> 0:25:07.556
<v Speaker 1>with this part of a cell?

0:25:08.396 --> 0:25:13.076
<v Speaker 3>Exactly? No, exactly. So I think that most companies will

0:25:13.196 --> 0:25:16.036
<v Speaker 3>view quantic computers in that lens where it's just another

0:25:16.436 --> 0:25:19.676
<v Speaker 3>cloud computing resource that they're spending money on. And I

0:25:19.676 --> 0:25:22.436
<v Speaker 3>could even imagine a future where you know, this is

0:25:22.596 --> 0:25:26.996
<v Speaker 3>so ingrained in kind of simulation frameworks. It's not even

0:25:26.996 --> 0:25:29.436
<v Speaker 3>clear you know, you're spending it on a quantum computing

0:25:30.116 --> 0:25:33.116
<v Speaker 3>you know, hours on a quantic computer. You're actually just

0:25:33.156 --> 0:25:35.716
<v Speaker 3>you know, buying time on your simulation framework that you

0:25:35.756 --> 0:25:37.236
<v Speaker 3>get from another company or so on.

0:25:37.476 --> 0:25:41.236
<v Speaker 1>Yes, we haven't talked about AI. We've gone a while,

0:25:41.236 --> 0:25:43.516
<v Speaker 1>we haven't talked about AI. And there's like a couple

0:25:43.556 --> 0:25:46.356
<v Speaker 1>of sides of AI, right, There's like AI helping to

0:25:46.396 --> 0:25:50.876
<v Speaker 1>make quantum computers. There's also AI being able to do things,

0:25:50.956 --> 0:25:53.996
<v Speaker 1>you know, on classical chips that we didn't think maybe

0:25:53.996 --> 0:25:56.756
<v Speaker 1>classical computers could do. Like I'm thinking of of the

0:25:56.796 --> 0:26:02.396
<v Speaker 1>protein folding problem, right, this famous hard molecular level problem

0:26:02.476 --> 0:26:05.796
<v Speaker 1>that AI solved that nobody could solve for a long time,

0:26:06.476 --> 0:26:08.196
<v Speaker 1>seems like the kind of thing that you might have

0:26:08.316 --> 0:26:12.116
<v Speaker 1>looked years ago been like, oh, here's the thing quantum

0:26:12.156 --> 0:26:14.436
<v Speaker 1>computers can do. They can predict the shape of a protein.

0:26:14.556 --> 0:26:17.396
<v Speaker 3>Yeah, I think that's true, I will say, when we

0:26:17.436 --> 0:26:20.276
<v Speaker 3>go and talk to you know, the experts in the field.

0:26:20.316 --> 0:26:21.956
<v Speaker 3>I think one of the things we hear an awful

0:26:21.996 --> 0:26:25.036
<v Speaker 3>lot about is is the idea that the AI is

0:26:25.076 --> 0:26:27.956
<v Speaker 3>only ever good at the data you give it and

0:26:28.236 --> 0:26:30.436
<v Speaker 3>a new use case for quantum computers that you know,

0:26:30.476 --> 0:26:33.916
<v Speaker 3>no one talked about more than like three years ago,

0:26:34.436 --> 0:26:37.796
<v Speaker 3>was using quantum computers to just pump out data for

0:26:37.956 --> 0:26:40.556
<v Speaker 3>a train, and.

0:26:40.636 --> 0:26:44.516
<v Speaker 1>I it would be if that was the case, it's like, oh,

0:26:44.596 --> 0:26:47.196
<v Speaker 1>we're just making the AI better. We kind of a

0:26:47.196 --> 0:26:49.836
<v Speaker 1>bummer at sub level, not to be silly, but you

0:26:49.876 --> 0:26:50.396
<v Speaker 1>know what I mean.

0:26:55.316 --> 0:26:57.876
<v Speaker 3>But I do think it's this idea that you know, fundamentally,

0:26:57.996 --> 0:27:01.316
<v Speaker 3>like if all of your AI data is coming from

0:27:01.476 --> 0:27:06.476
<v Speaker 3>classical models or classical you know, algorithms spitting out data

0:27:06.556 --> 0:27:09.356
<v Speaker 3>to go and train alpha fold or whatever it's called on,

0:27:10.236 --> 0:27:12.276
<v Speaker 3>you only get it so good. And if you can

0:27:12.316 --> 0:27:15.796
<v Speaker 3>go a step further and start getting the AI to

0:27:16.356 --> 0:27:20.156
<v Speaker 3>understand the kind of quantum pieces of the puzzle, that

0:27:20.196 --> 0:27:21.756
<v Speaker 3>all of a sudden your AI is going to start

0:27:21.796 --> 0:27:26.236
<v Speaker 3>including those in its predictions. But I do agree that

0:27:26.276 --> 0:27:29.116
<v Speaker 3>the flip side of this is building a ton of

0:27:29.196 --> 0:27:32.396
<v Speaker 3>quantum systems whose sole job it is just pumped out

0:27:32.476 --> 0:27:35.236
<v Speaker 3>data for FREYI is a little surprising.

0:27:34.956 --> 0:27:36.596
<v Speaker 4>A little bit of a sad trombone.

0:27:36.716 --> 0:27:41.196
<v Speaker 1>And I mean, is there any way in which AI

0:27:41.356 --> 0:27:43.596
<v Speaker 1>is helping you or helping the field?

0:27:44.076 --> 0:27:45.036
<v Speaker 4>Figure things out.

0:27:45.676 --> 0:27:47.276
<v Speaker 3>Yeah, I mean I do think it is like I

0:27:47.556 --> 0:27:50.316
<v Speaker 3>think that actually in control, I think they're a huge,

0:27:50.396 --> 0:27:53.796
<v Speaker 3>huge ability for AI. Like I think that when we

0:27:53.796 --> 0:27:56.196
<v Speaker 3>talk about scaling up systems and how do you tune

0:27:56.236 --> 0:27:59.276
<v Speaker 3>things and how do you kind of get control to

0:27:59.716 --> 0:28:03.436
<v Speaker 3>across you know, many many, many cubits, AI is much

0:28:03.476 --> 0:28:05.876
<v Speaker 3>much better at finding correlations and data and things like

0:28:05.876 --> 0:28:08.876
<v Speaker 3>that and actually having an understanding of how you turn

0:28:08.916 --> 0:28:11.796
<v Speaker 3>the troll knobs you have into the outputs you want.

0:28:12.116 --> 0:28:14.356
<v Speaker 3>AI is actually fantastic at that. I also think the

0:28:14.396 --> 0:28:16.956
<v Speaker 3>other thing is true, which is just that I mean

0:28:17.036 --> 0:28:20.516
<v Speaker 3>we operate faster because people write software faster now, oh right,

0:28:20.636 --> 0:28:22.436
<v Speaker 3>Like even in the last like six months, I would

0:28:22.476 --> 0:28:24.756
<v Speaker 3>say there is more and more and more software at

0:28:24.756 --> 0:28:28.316
<v Speaker 3>Atom Computing that is being written with AI, and it

0:28:28.356 --> 0:28:30.996
<v Speaker 3>would be done you know, I don't even know ten

0:28:31.036 --> 0:28:32.436
<v Speaker 3>times faster with AI than it.

0:28:32.396 --> 0:28:39.956
<v Speaker 1>Was possible speaking of simple productivity gains with profound cons Yeah.

0:28:40.036 --> 0:28:42.916
<v Speaker 1>So well, we started out talking about a you know,

0:28:43.156 --> 0:28:49.316
<v Speaker 1>relatively optimistic scenario five years, ten years, like why might

0:28:49.676 --> 0:28:53.476
<v Speaker 1>quantum computing not get there or take much longer than

0:28:53.516 --> 0:28:53.916
<v Speaker 1>you think?

0:28:55.156 --> 0:28:58.356
<v Speaker 3>I think it's all a challenge of you know, how much.

0:28:58.756 --> 0:29:02.716
<v Speaker 3>How many resources are you willing to devote to get

0:29:03.036 --> 0:29:06.076
<v Speaker 3>quantum computers to work? And what are the use cases?

0:29:06.356 --> 0:29:08.556
<v Speaker 3>Like I think that a lot of the kind of

0:29:08.676 --> 0:29:12.276
<v Speaker 3>chemistry use cases and stuff we're excited about. But like

0:29:12.316 --> 0:29:14.396
<v Speaker 3>you said, there's always going to be new techniques and

0:29:14.636 --> 0:29:17.996
<v Speaker 3>things like that. And if we can find new techniques

0:29:18.036 --> 0:29:20.876
<v Speaker 3>that you know, get us far enough, then the thing

0:29:20.876 --> 0:29:23.716
<v Speaker 3>that we only have to fall back on is decryption.

0:29:24.236 --> 0:29:26.756
<v Speaker 3>And the question is, you know who there's only one

0:29:26.796 --> 0:29:29.516
<v Speaker 3>customer that wants to decrypt at least in the United.

0:29:29.316 --> 0:29:32.236
<v Speaker 4>States, at least two. I was gonna say every.

0:29:31.956 --> 0:29:35.876
<v Speaker 3>Government in the world, right, Yeah, But I think it's

0:29:35.916 --> 0:29:39.396
<v Speaker 3>it's a question of like resources and resource allocation, which

0:29:39.476 --> 0:29:41.996
<v Speaker 3>is that if that's something the government's you know, very

0:29:42.076 --> 0:29:44.116
<v Speaker 3>very excited about still, then of course, you know, I

0:29:44.436 --> 0:29:46.756
<v Speaker 3>think we can keep scaling and we can make bigger

0:29:46.756 --> 0:29:47.876
<v Speaker 3>and bigger quantic computers.

0:29:47.876 --> 0:29:50.236
<v Speaker 4>And this is the use case you say, it's just money.

0:29:50.556 --> 0:29:52.116
<v Speaker 3>I mean I think that we have and I think

0:29:52.156 --> 0:29:53.836
<v Speaker 3>this is true of a lot of different kinds of

0:29:53.876 --> 0:29:57.636
<v Speaker 3>quantic computing modalities. Now the science has now been demonstrated

0:29:57.836 --> 0:30:00.756
<v Speaker 3>error correction works. We need, like you said, a thousand

0:30:00.756 --> 0:30:03.476
<v Speaker 3>times more cubits, and we want to go and do

0:30:03.596 --> 0:30:07.236
<v Speaker 3>that by building network machines and scaling up the number

0:30:07.236 --> 0:30:09.556
<v Speaker 3>of cubits inside each one of our systems and so on.

0:30:09.716 --> 0:30:12.596
<v Speaker 3>And I'm sure our competitors have similar stories as well.

0:30:13.156 --> 0:30:13.436
<v Speaker 5>Uh.

0:30:13.476 --> 0:30:15.876
<v Speaker 3>And so the question just becomes, you know, is there

0:30:15.916 --> 0:30:19.396
<v Speaker 3>the capital, is there the the excitement around building it?

0:30:19.996 --> 0:30:25.756
<v Speaker 1>So you you mentioned your competitors. You are a private company, right.

0:30:26.876 --> 0:30:30.636
<v Speaker 1>Your competitors include some public quantum computing companies, but they

0:30:30.636 --> 0:30:35.596
<v Speaker 1>also include like Google and IBM, Right, like these giant

0:30:35.636 --> 0:30:40.676
<v Speaker 1>companies with huge revenue streams and kind of all the.

0:30:40.636 --> 0:30:45.396
<v Speaker 4>Money they want, literally but a lot of money. How

0:30:45.436 --> 0:30:48.996
<v Speaker 4>do you compete? How do you how do how does that?

0:30:49.236 --> 0:30:52.036
<v Speaker 4>How does that work for you? Oh?

0:30:52.156 --> 0:30:55.756
<v Speaker 3>I mean I think that, uh, I mean like any industry.

0:30:55.836 --> 0:30:58.156
<v Speaker 3>I mean I think there's you know, venture investors and

0:30:58.196 --> 0:31:01.636
<v Speaker 3>stuff who are excited about, you know, first of all,

0:31:01.676 --> 0:31:05.396
<v Speaker 3>building funding technology that's different than the technology that's found

0:31:05.436 --> 0:31:08.956
<v Speaker 3>at those giant hyperscaler you know, big companies, and second,

0:31:09.276 --> 0:31:13.356
<v Speaker 3>uh who want to invest in that technology because if

0:31:13.396 --> 0:31:17.796
<v Speaker 3>that technology wins, they actually get significantly more back from

0:31:17.876 --> 0:31:20.916
<v Speaker 3>their investment than if they invest in Google. Like if

0:31:20.956 --> 0:31:23.436
<v Speaker 3>Google has a quantum computer. I actually don't think the

0:31:23.596 --> 0:31:26.956
<v Speaker 3>Google quantum stock is going to double overnight. Whereas if

0:31:26.996 --> 0:31:28.836
<v Speaker 3>all of a sudden we have a universal fault talent

0:31:28.996 --> 0:31:32.556
<v Speaker 3>quantum computer at Adam, yeah, our value could go up

0:31:32.556 --> 0:31:34.636
<v Speaker 3>by a ten or one hundred x or something like that.

0:31:34.716 --> 0:31:36.716
<v Speaker 3>So I think there's just like an asymmetry there and

0:31:36.956 --> 0:31:39.156
<v Speaker 3>returns things like that. Yeah.

0:31:39.276 --> 0:31:42.036
<v Speaker 1>So one of the interesting things about the field is

0:31:43.076 --> 0:31:48.596
<v Speaker 1>there are a bunch of different companies using very different approaches,

0:31:48.636 --> 0:31:53.276
<v Speaker 1>like physically different approaches. And I recognize that maybe more

0:31:53.276 --> 0:31:54.876
<v Speaker 1>than one will work, or some will be good for

0:31:54.876 --> 0:31:56.956
<v Speaker 1>some things and something good for others. But there might

0:31:56.996 --> 0:32:00.396
<v Speaker 1>be something of a binary outcome, right, Like somebody might win.

0:32:00.556 --> 0:32:03.636
<v Speaker 1>Somebody might get there first. What do you think of

0:32:03.676 --> 0:32:06.276
<v Speaker 1>the chances it'll be somebody other than you.

0:32:08.596 --> 0:32:13.196
<v Speaker 3>I certainly think there's a chance. I think that who

0:32:13.276 --> 0:32:15.476
<v Speaker 3>wins in the end is going to just come down

0:32:15.636 --> 0:32:20.876
<v Speaker 3>to dollars per unit compute. Like I think there's someone

0:32:20.916 --> 0:32:23.236
<v Speaker 3>will get there first. I hope it's Adam, but you

0:32:23.236 --> 0:32:25.476
<v Speaker 3>know someone's going to get there first. I think there

0:32:25.476 --> 0:32:29.036
<v Speaker 3>will be a few years of multiple people then getting there,

0:32:29.116 --> 0:32:31.716
<v Speaker 3>multiple modalities getting there, And I think at the end

0:32:31.756 --> 0:32:34.476
<v Speaker 3>of the day, what wins is just dollar per unit compute,

0:32:34.716 --> 0:32:36.716
<v Speaker 3>And all of a sudden, if there's a ten x

0:32:36.756 --> 0:32:40.396
<v Speaker 3>difference in price between running on this system versus running

0:32:40.396 --> 0:32:43.036
<v Speaker 3>on another system, people are just going to gravitate towards

0:32:43.076 --> 0:32:45.156
<v Speaker 3>a cheaper one. And I think that will be the

0:32:45.156 --> 0:32:47.956
<v Speaker 3>one that actually turns out to be the one that

0:32:48.036 --> 0:32:50.036
<v Speaker 3>you know, an entire industry is built around.

0:32:51.036 --> 0:32:52.716
<v Speaker 1>Where do you think we should end the main part

0:32:52.756 --> 0:32:55.196
<v Speaker 1>of this conversation, Like if you sort of sit back

0:32:55.236 --> 0:32:58.476
<v Speaker 1>and think big thoughts and gaze off into the distance,

0:32:58.596 --> 0:33:02.436
<v Speaker 1>like what like where do you land thinking about this today?

0:33:04.236 --> 0:33:06.636
<v Speaker 3>I mean, I think the quantum computers are more of

0:33:06.676 --> 0:33:09.356
<v Speaker 3>an inevitability than they've ever been. Like, I think that

0:33:09.396 --> 0:33:13.116
<v Speaker 3>we've made such amazing progress as an industry that everyone

0:33:13.196 --> 0:33:15.276
<v Speaker 3>is on board with the idea that no, no, this

0:33:15.356 --> 0:33:18.396
<v Speaker 3>is this is just going to happen. Like if someone's

0:33:18.436 --> 0:33:21.396
<v Speaker 3>going to have a universal fault talent quantum computer, people

0:33:21.436 --> 0:33:23.116
<v Speaker 3>are going to be able to use it over the cloud.

0:33:23.156 --> 0:33:25.236
<v Speaker 3>They're going to be able to do all the problems

0:33:25.276 --> 0:33:27.076
<v Speaker 3>they want to do, and so on and so forth.

0:33:27.116 --> 0:33:29.636
<v Speaker 3>And I feel like even I don't know, three four

0:33:29.716 --> 0:33:31.636
<v Speaker 3>or five years ago, I don't think people would have

0:33:31.676 --> 0:33:34.836
<v Speaker 3>said that across the board.

0:33:36.676 --> 0:33:49.676
<v Speaker 1>We'll be back in a minute with the lightning round. Okay,

0:33:49.716 --> 0:33:52.076
<v Speaker 1>let's finish with the lightning round. It's gonna be a

0:33:52.116 --> 0:33:54.476
<v Speaker 1>little more random, but fun. I hope.

0:33:57.036 --> 0:33:59.276
<v Speaker 4>Albert Einstein overrated or underrated?

0:34:00.556 --> 0:34:01.156
<v Speaker 3>Underrated?

0:34:01.636 --> 0:34:15.316
<v Speaker 1>Yeah, very highly rated. Richard Feynman overrated rounded, Uh.

0:34:13.996 --> 0:34:16.996
<v Speaker 3>I think underrated. I think that actually seeing him give lectures.

0:34:16.996 --> 0:34:19.276
<v Speaker 3>I didn't get to see him in person, but I mean,

0:34:19.316 --> 0:34:21.396
<v Speaker 3>I think seeing recordings of him given lectures, I mean

0:34:21.436 --> 0:34:24.076
<v Speaker 3>I think he was probably the most amazing physics teacher

0:34:24.116 --> 0:34:24.476
<v Speaker 3>there was.

0:34:25.196 --> 0:34:27.476
<v Speaker 4>Is it right? Did Feineman come up with the idea

0:34:27.556 --> 0:34:28.556
<v Speaker 4>of the quantum computer?

0:34:28.676 --> 0:34:31.116
<v Speaker 3>I read it also, Yeah, and he has this amazing

0:34:31.196 --> 0:34:33.916
<v Speaker 3>sentence about how you know it would be so simple

0:34:33.956 --> 0:34:36.276
<v Speaker 3>to do this with a bunch of atoms that you

0:34:36.396 --> 0:34:38.756
<v Speaker 3>kind of rearrange and you kind of move around and

0:34:38.756 --> 0:34:41.276
<v Speaker 3>stuff like that. Someone showed that to me many many

0:34:41.356 --> 0:34:43.356
<v Speaker 3>years after I had started a company to do this

0:34:43.436 --> 0:34:43.876
<v Speaker 3>with Adam.

0:34:43.956 --> 0:34:46.916
<v Speaker 4>So was he right that it would be so simple?

0:34:46.956 --> 0:34:47.836
<v Speaker 3>Absolutely? Yeah?

0:34:48.116 --> 0:34:53.116
<v Speaker 4>Wait? What no? Is it right that.

0:34:53.516 --> 0:34:56.596
<v Speaker 1>You made or helped to make an atomic clock that's

0:34:56.676 --> 0:34:59.756
<v Speaker 1>precise to the second over five billion years?

0:34:59.996 --> 0:35:04.916
<v Speaker 4>The most something precise clock ever, Yeah, so okay, A

0:35:04.916 --> 0:35:08.876
<v Speaker 4>few questions following on that. Precisely? How early do you

0:35:08.916 --> 0:35:11.756
<v Speaker 4>get to the airport to catch a plane? Oh?

0:35:11.916 --> 0:35:14.316
<v Speaker 3>Actually, this is a great thing that someone taught me.

0:35:14.596 --> 0:35:17.356
<v Speaker 3>If you don't miss a flight every like, you know,

0:35:17.436 --> 0:35:19.636
<v Speaker 3>fifty times, you're always getting to the airport tour.

0:35:19.756 --> 0:35:22.716
<v Speaker 1>Yes, that is a theory, that's an optimization. So what

0:35:22.916 --> 0:35:25.956
<v Speaker 1>for you is the optimal fraction of flights to miss?

0:35:27.316 --> 0:35:29.396
<v Speaker 3>I think like one percent or something like that.

0:35:29.636 --> 0:35:30.956
<v Speaker 4>When was the last time you missed a plane?

0:35:32.876 --> 0:35:35.676
<v Speaker 3>Probably like thirty forty fifty flights ago or something.

0:35:35.876 --> 0:35:36.716
<v Speaker 4>So you're doing okay?

0:35:36.996 --> 0:35:37.316
<v Speaker 3>Yeah ye.

0:35:45.716 --> 0:35:50.196
<v Speaker 1>Ben Bloom is the co founder and CEO of Adam Computing.

0:35:50.476 --> 0:35:53.756
<v Speaker 1>Today's show was produced by Gabriel Hunter Chang. It was

0:35:53.996 --> 0:35:57.476
<v Speaker 1>edited by Lyddy jeene Kott and engineered by Sarah Bruguer.

0:35:57.916 --> 0:36:01.116
<v Speaker 1>You can email us at problem at Pushkin dot FM.

0:36:01.676 --> 0:36:04.036
<v Speaker 1>I'm Jacob Goldstein and we'll be back next week with

0:36:04.076 --> 0:36:15.956
<v Speaker 1>another episode of What's Your Problem. I'm Jacob Goldstein, and

0:36:16.076 --> 0:36:18.996
<v Speaker 1>right now we're going to play you a clip of

0:36:19.076 --> 0:36:21.596
<v Speaker 1>a new show that I co host. The show's called

0:36:21.796 --> 0:36:24.676
<v Speaker 1>Business History. My co host is Robert Smith and This

0:36:24.836 --> 0:36:28.836
<v Speaker 1>clip is from an episode we did about how Nolan Bushnell,

0:36:29.156 --> 0:36:33.236
<v Speaker 1>a stoner turned entrepreneur, created the video game company Atari

0:36:33.836 --> 0:36:37.996
<v Speaker 1>and hired a young, inexperienced Steve Jobs. I really hope

0:36:37.996 --> 0:36:40.236
<v Speaker 1>you like the clip, and if you want to hear more,

0:36:40.356 --> 0:36:43.396
<v Speaker 1>you can find business history wherever you're listening to this

0:36:43.516 --> 0:36:47.916
<v Speaker 1>show right now. This like nineteen year old hippie kid

0:36:47.956 --> 0:36:50.996
<v Speaker 1>walks in and he says he won't leave until they

0:36:50.996 --> 0:36:53.876
<v Speaker 1>give him a job, And the receptionist calls the head

0:36:53.876 --> 0:36:57.076
<v Speaker 1>engineer and she goes, yeah, we got a hippie kid

0:36:57.076 --> 0:36:57.596
<v Speaker 1>in the lobby.

0:36:57.676 --> 0:36:59.836
<v Speaker 4>Says he won't leave until we hire him. Should we

0:36:59.876 --> 0:37:03.436
<v Speaker 4>call the cops or let him in? And the engineer says,

0:37:03.516 --> 0:37:04.316
<v Speaker 4>bring him on in.

0:37:04.556 --> 0:37:07.836
<v Speaker 5>It's nineteen seventies, a Silicon valley, and this guy wanders

0:37:07.876 --> 0:37:10.716
<v Speaker 5>in and he is when if you tell a story

0:37:10.756 --> 0:37:11.476
<v Speaker 5>like this, you know who it is.

0:37:11.516 --> 0:37:14.116
<v Speaker 4>It's Steve Jobs. It's Steve Job. So fun, it's so

0:37:14.236 --> 0:37:16.836
<v Speaker 4>delightful and perfectly.

0:37:17.556 --> 0:37:20.836
<v Speaker 1>Steve Jobs is very good at his job, yes, and

0:37:20.956 --> 0:37:23.036
<v Speaker 1>very unpleasant to wrqu On.

0:37:23.156 --> 0:37:23.676
<v Speaker 4>Surprising.

0:37:24.116 --> 0:37:27.716
<v Speaker 1>He tells Bushnell that like everybody's soldering wrong, right, they're

0:37:27.716 --> 0:37:30.396
<v Speaker 1>actually putting together the hardware sladering the hardware. He's probably right,

0:37:30.396 --> 0:37:32.436
<v Speaker 1>and bush Nell's like, yeah, he was right. He keeps

0:37:32.476 --> 0:37:33.956
<v Speaker 1>calling his manager a dumb shit.

0:37:34.156 --> 0:37:35.436
<v Speaker 4>Probably was not.

0:37:35.556 --> 0:37:40.076
<v Speaker 1>Kind, not necessary. Bushell winds up putting Jobs on the

0:37:40.196 --> 0:37:43.796
<v Speaker 1>night shift, partly so he won't bother so many people,

0:37:43.836 --> 0:37:46.836
<v Speaker 1>and partly because he knew that Jobs like to hang

0:37:46.876 --> 0:37:50.316
<v Speaker 1>out at night with his buddy Steve Wozniak, who was

0:37:50.356 --> 0:37:51.716
<v Speaker 1>a great engineer, would.

0:37:51.476 --> 0:37:53.636
<v Speaker 4>Be great to have hanging around Atari.

0:37:53.716 --> 0:37:56.956
<v Speaker 1>And in fact, Jobs and Wozniak helped to make Breakout

0:37:57.716 --> 0:37:58.396
<v Speaker 1>a great a target.

0:37:58.516 --> 0:37:59.636
<v Speaker 4>Remember breaking of.

0:37:59.596 --> 0:38:01.556
<v Speaker 5>Course, you're trying to knock down the bricks in a wall.

0:38:01.836 --> 0:38:03.676
<v Speaker 4>Still, games like that, when you got a little paddle

0:38:03.676 --> 0:38:04.356
<v Speaker 4>at the bottom.

0:38:04.156 --> 0:38:05.716
<v Speaker 5>End, there's a moment when it goes through the wall

0:38:05.716 --> 0:38:06.116
<v Speaker 5>and then.

0:38:05.996 --> 0:38:08.956
<v Speaker 4>Goes so good.

0:38:09.716 --> 0:38:12.076
<v Speaker 1>So Jobs worked at Atari for a little while and

0:38:12.116 --> 0:38:14.116
<v Speaker 1>then decided that he wanted to go off to India

0:38:14.156 --> 0:38:18.436
<v Speaker 1>to find his guru. Perfect asked Atari to pay for

0:38:18.516 --> 0:38:21.876
<v Speaker 1>the trip. Nobody ever said he lacked moxie, and wound

0:38:21.916 --> 0:38:24.676
<v Speaker 1>up making a deal with Atari where they pay him

0:38:24.676 --> 0:38:27.156
<v Speaker 1>to go part of the way there. They had exported

0:38:27.196 --> 0:38:28.676
<v Speaker 1>some games to Germany and there was some kind of

0:38:28.676 --> 0:38:30.356
<v Speaker 1>problem with the games in Germany and they're like, we'll

0:38:30.396 --> 0:38:33.036
<v Speaker 1>send you to Germany to fix the games and then

0:38:33.076 --> 0:38:34.636
<v Speaker 1>you can get the rest of the way to India.

0:38:35.156 --> 0:38:37.916
<v Speaker 1>And you know, the Germans said Jobs was terrible to

0:38:37.956 --> 0:38:41.116
<v Speaker 1>work with, but he fixed the games. I was thinking

0:38:41.116 --> 0:38:43.556
<v Speaker 1>about like the link between Atarian Jobs and what did

0:38:43.596 --> 0:38:45.836
<v Speaker 1>he learn there, And it felt like maybe a little overdetermined,

0:38:45.876 --> 0:38:49.036
<v Speaker 1>but I do think you know, clearly he had this

0:38:49.156 --> 0:38:53.596
<v Speaker 1>profound sense of aesthetics and of delight, right, Like think

0:38:53.596 --> 0:38:56.396
<v Speaker 1>of the Macintosh, right, this breakthrough Apple machine in the eighties.

0:38:56.476 --> 0:38:59.316
<v Speaker 1>It was round and instead of squares, it was rounded,

0:38:59.356 --> 0:39:01.676
<v Speaker 1>and it cost them more money, but it was beautiful

0:39:01.676 --> 0:39:03.996
<v Speaker 1>and it was fun and you were engaged with it

0:39:04.196 --> 0:39:04.756
<v Speaker 1>like a game.

0:39:05.356 --> 0:39:07.436
<v Speaker 5>It almost looked a little bit like an arcade game

0:39:07.476 --> 0:39:10.996
<v Speaker 5>with the curves than that. I think that especially at

0:39:10.996 --> 0:39:13.036
<v Speaker 5>Silicon Valley at the time when they were dealing in

0:39:13.156 --> 0:39:16.196
<v Speaker 5>actual silicon Right, if you're making chips for somebody, you're

0:39:16.236 --> 0:39:19.116
<v Speaker 5>thinking about the future and the computers. You're not thinking

0:39:19.116 --> 0:39:21.636
<v Speaker 5>about the psychology of the customer, because the customer was

0:39:21.676 --> 0:39:25.356
<v Speaker 5>another electronics company, right, and so Atari and the strength

0:39:25.396 --> 0:39:27.676
<v Speaker 5>of it was really the first time where they're just like,

0:39:28.036 --> 0:39:31.676
<v Speaker 5>how will a regular human being who has no training

0:39:31.716 --> 0:39:33.756
<v Speaker 5>whatsoever interact with technology.

0:39:33.916 --> 0:39:39.956
<v Speaker 1>Yeah, so Atari now mid seventies. They're selling all the

0:39:39.996 --> 0:39:43.396
<v Speaker 1>machines they can make. They need more space, and so

0:39:43.436 --> 0:39:46.556
<v Speaker 1>they rent an abandoned roller rink and they turn it

0:39:46.596 --> 0:39:49.076
<v Speaker 1>into this office slash video game factory.

0:39:49.596 --> 0:39:51.836
<v Speaker 5>I've been ten years older. I would have loved to

0:39:51.836 --> 0:39:53.836
<v Speaker 5>have worked in a roller rink video game factory.

0:39:53.916 --> 0:39:57.076
<v Speaker 4>Yes, everybody smoked weed. Yeah, there was a hot tub.

0:39:58.676 --> 0:40:00.876
<v Speaker 1>There was a pool party where everybody ended up naked

0:40:00.876 --> 0:40:04.796
<v Speaker 1>in the pool at Bushnell himself looked back on it

0:40:04.876 --> 0:40:08.076
<v Speaker 1>later and said, if that isn't a horror show for

0:40:08.156 --> 0:40:10.996
<v Speaker 1>any hr person today, I don't know what is