WEBVTT - Unlocking Our Quantum Future

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<v Speaker 1>Welcome to tech Stuff, a production from iHeartRadio. This season,

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<v Speaker 1>non Smart Talks with IBM, Malcolm Glabwell is back, and

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<v Speaker 1>this time he's taking the show on the road. Malcolm

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<v Speaker 1>is stepping outside the studio to explore how IBM clients

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<v Speaker 1>are using artificial intelligence to solve real world challenges and

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<v Speaker 1>transform the way they do business. From accelerating scientific breakthroughs

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<v Speaker 1>to reimagining education. It's a fresh look at innovation in action,

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<v Speaker 1>where big ideas meet cutting edge solutions. You'll hear from

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<v Speaker 1>industry leaders, creative thinkers, and of course Malcolm Glabwell himself

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<v Speaker 1>as he guides you through each story. New episodes of

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<v Speaker 1>Smart Talks with IBM drop every month on the iHeartRadio app,

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<v Speaker 1>at IBM dot com slash smart Talks.

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<v Speaker 2>Hello, this is Malcolm Gladwell and you're listening to Smart

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<v Speaker 2>Talks with IBM. Every year, Tech Week brings thousands of

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<v Speaker 2>people together to network and learn about what's emerging across

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<v Speaker 2>the technology ecosystem, and at this year's conference in San Francisco,

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<v Speaker 2>I had an amazing opportunity to sit down in front

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<v Speaker 2>of a live audience with Jay Gambetta. Jay has been

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<v Speaker 2>with IBM for years and was recently promoted to Director

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<v Speaker 2>of Research. In this job, Jay has an important mission

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<v Speaker 2>helping the company build the future of computing. In the

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<v Speaker 2>last episode of Smart Talks, I began to learn about

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<v Speaker 2>quantum computing from IBM Chairman and CEO Arvind Krishna. But

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<v Speaker 2>this conversation I had with Jay went even deeper and

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<v Speaker 2>convinced me that the development of quantum isn't just a fun,

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<v Speaker 2>exciting new paradigm of computing. It may be one of

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<v Speaker 2>the most important scientific achievements of my lifetime. Jay, Good morning, morning,

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<v Speaker 2>Welcome to Smart Talks with IBM. Thank you special live

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<v Speaker 2>recording here for tech Week and congratulations. How long have

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<v Speaker 2>you been Head of Research at IBM Since October one?

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<v Speaker 2>It's October tenth today, so nine days, nine days. Can

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<v Speaker 2>you just talk a little about the position. This is

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<v Speaker 2>one of the most important positions in research in the world.

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<v Speaker 3>IBM Research has been around for eighty years and it's

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<v Speaker 3>done some tremendous technology, a lot of inventions and fundamentals

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<v Speaker 3>for semiconductors, algorithms.

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<v Speaker 4>AI.

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<v Speaker 3>Yeah, I think if we look back to where a

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<v Speaker 3>lot of the innovation and the technology of the world

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<v Speaker 3>comes from. I think you can find Ibram's footprints on it,

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<v Speaker 3>and you can find IBM research. So yeah, I'm very

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<v Speaker 3>excited for the opportunity, but I'm also aware that there's

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<v Speaker 3>big shoes to fill, and I'm looking forward to how

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<v Speaker 3>we take IBM research forward. Obviously, I'm going to be

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<v Speaker 3>bringing a lot of the quantum side, which we're going

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<v Speaker 3>to talk about later. Beyond quantum, there's important work that

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<v Speaker 3>needs to happen in AI hybrid cloud, and I think

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<v Speaker 3>we're going to also enter to this new period of

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<v Speaker 3>mathematics where we get to use quantum machines and also

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<v Speaker 3>AI machines, and there's some really good, hard mathematical questions

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<v Speaker 3>to answer.

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<v Speaker 2>How many people do you have working for you?

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<v Speaker 3>I mean researchers in the three thousand researchers across many

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<v Speaker 3>different labs around the world. Our main lab is in Yorktown,

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<v Speaker 3>but then we have the lab actually out on the

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<v Speaker 3>West coast in Armadan or sbl now, and then we

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<v Speaker 3>have one in Zurich, Japan, and a few others around

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<v Speaker 3>the world.

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<v Speaker 2>Tell me a little bit before we get into quantum.

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<v Speaker 2>I'm just curious about your path. So you're Australian. Yep,

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<v Speaker 2>we were talking about earlier backstage. Your accent has become muted.

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<v Speaker 2>You should crank it up because it's.

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<v Speaker 3>Yeah, I'm slowly losing my Australian accent. I've been in

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<v Speaker 3>the US since two thousand and four, so accent, you know,

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<v Speaker 3>to sound very Australian. Yeah, but how do you practice it?

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<v Speaker 3>Maybe I got to go back to Australia. Here a

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<v Speaker 3>more Australians say gooday, how's it going? Things like that.

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<v Speaker 2>And you didn't grow up thinking you're going to be

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<v Speaker 2>a scientist one day. Now.

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<v Speaker 3>I grew up in a pretty normal life. My dreams

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<v Speaker 3>as a kid was building things, so I was either

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<v Speaker 3>going to be a carpenter or a mechanic. But I

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<v Speaker 3>had some great teachers that inspired me to go to university.

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<v Speaker 3>And I didn't even know, honestly what a scientist was.

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<v Speaker 3>And then I found myself at university doing science, particular physics,

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<v Speaker 3>and I ended up loving it. So you go from

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<v Speaker 3>there to what do you do your PhD? So I

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<v Speaker 3>did my undergrad in Australia. I did it actually in

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<v Speaker 3>laser science, so I think I watched some TV show

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<v Speaker 3>in lasers seemed interesting, so I wanted to learn about lasers,

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<v Speaker 3>and then I realized in trying to understand lasers, there

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<v Speaker 3>was this quantum mechanics, and so I was like, all right,

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<v Speaker 3>I want to actually understand this quantum mechanics. So I

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<v Speaker 3>did my equivalent of what you and the US school masters.

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<v Speaker 3>We call it honors in Australia, but we do a

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<v Speaker 3>research project. I said, I wanted to shoot lasers into

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<v Speaker 3>Adam and measure cross sections and I got really into

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<v Speaker 3>quantum physics. So then I decided, all right, I don't

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<v Speaker 3>understand this quantum physics. I want to do my PhD

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<v Speaker 3>in Interpretations of quantum mechanics. So I jumped in and said,

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<v Speaker 3>all right, what is this quantum mechanics? Why is everyone

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<v Speaker 3>arguing on these different interpretations. Then I finished my PhD

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<v Speaker 3>in Australia doing that. Then I moved over. At the

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<v Speaker 3>end of my PhD interpretations, it's more people arguing about

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<v Speaker 3>the equations whilst I think it's really important. I decided

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<v Speaker 3>if it's going to be like a collapse equation versus

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<v Speaker 3>many worlds, or a hidden variable model, or that just

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<v Speaker 3>quantum mechanics decoheres because we don't see supersitions in the

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<v Speaker 3>everyday world because it interacts with environment. The only way

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<v Speaker 3>to answer that question was to build a quantum computer.

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<v Speaker 3>And so then I decided at the end of my PhD,

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<v Speaker 3>I wanted to work out how to build a quantum computer.

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<v Speaker 3>And then I left there and I went to Yale.

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<v Speaker 3>And then at Yale, that's where I got into superconducting cubits,

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<v Speaker 3>which just a few days ago, one of the professors

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<v Speaker 3>there just won the Nobel Prize this year.

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<v Speaker 2>Oh wow, I'm very interested in tracing because your career

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<v Speaker 2>follows the arc of quantum computing in a certain way.

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<v Speaker 2>Right at the time when you asked the question, what

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<v Speaker 2>I really want to do is to figure out how

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<v Speaker 2>to build a quantum computer. Where are we in quantum

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<v Speaker 2>computing at that point?

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<v Speaker 3>Yeah, So that would have been nineteen ninety So there

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<v Speaker 3>was Shaw's algorithm came out, let's say ninety five. There

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<v Speaker 3>was a lot of theory. And then the reason I

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<v Speaker 3>went to Yale is because people had started to show

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<v Speaker 3>that they could see quantum effects in electrical circuits. So

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<v Speaker 3>these macroscopic objects they were starting to behave quantum mechanical

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<v Speaker 3>There was a really significant breakthrough in nineteen ninety nine

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<v Speaker 3>where Yazoo Nakamura in Japan showed that a qubit could

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<v Speaker 3>exist in these electrical circuits. I found out the group

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<v Speaker 3>at Yale were really trying to take these electrical circuits

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<v Speaker 3>and couple them together. And so it was like, if

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<v Speaker 3>I can build something using electrical circuits and they're big,

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<v Speaker 3>that that's the best way that you can decide to

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<v Speaker 3>test and understand whether quantum mechanics breaks down at a

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<v Speaker 3>macroscopic scale or not. Can we actually make them behave

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<v Speaker 3>as cubits? And I agree When I came to Yale,

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<v Speaker 3>the cubits were not very good. They were actually a

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<v Speaker 3>couple of nanoseconds. They were unstable. Electron would jump onto

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<v Speaker 3>the chip and then they would change all their configurations,

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<v Speaker 3>so you have to restart your experiment. And so for

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<v Speaker 3>the first time at Yale, it's kind of what the

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<v Speaker 3>challenge there was, how do we make a cubit? How

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<v Speaker 3>do we make a stable cubit? And that took about

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<v Speaker 3>five years, and that took us up to two thousand

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<v Speaker 3>and seven. And I think the rest of the world

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<v Speaker 3>looks and says quantums like just blowing up, but it's

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<v Speaker 3>actually been like almost phases theory showing that wet the algorithms,

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<v Speaker 3>how do we make a cubit? How do we couple

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<v Speaker 3>of the cubits together? And now we're in the scaling phase.

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<v Speaker 2>Describe for us because many people in this room, me included,

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<v Speaker 2>have only a kind of surface level understanding of what

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<v Speaker 2>we mean when we use that phrase. What is the

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<v Speaker 2>difference between classical computing and quantum computing? What does that

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<v Speaker 2>word mean?

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<v Speaker 3>Yeah, so you can go down the physics way and

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<v Speaker 3>talk about supersition and entanglement, which we can go in later,

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<v Speaker 3>but actually feel it's a bit of a distraction. So

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<v Speaker 3>when you think of classical computers, what they were is

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<v Speaker 3>there were machines that were very good at adding numbers together,

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<v Speaker 3>like simple addition, and they really showed that they could

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<v Speaker 3>add these numbers together really really fast. And now with

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<v Speaker 3>GPUs and other AI accelerators, we can add those numbers

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<v Speaker 3>together in parallel, and so the whole classical computing can

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<v Speaker 3>come down to just arithmetic, just adding numbers together. It

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<v Speaker 3>turns out that there's a math that is the quantum

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<v Speaker 3>mechanics shown to be true. It's more like a group

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<v Speaker 3>theory type structure, and the way quantum works is it

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<v Speaker 3>has a different math as are primitive, and if we

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<v Speaker 3>can exploit that new math and build a machine that

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<v Speaker 3>does it, it allows us to answer different questions. And

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<v Speaker 3>so think of it as a branching from classical compute

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<v Speaker 3>that is very good at adding just numbers together to

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<v Speaker 3>something that allows us to work with an algebra that

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<v Speaker 3>is much much harder to represent with addition. And that

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<v Speaker 3>algebra happens to be the same algebra that defines the

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<v Speaker 3>fundamental equations of nature, shirting this equation. So this is

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<v Speaker 3>why you say it computes the same way nature does,

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<v Speaker 3>but there are many other interesting problems. So the way

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<v Speaker 3>I explain it to people is think of it as

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<v Speaker 3>bringing a new primitive to computer science and allowing us

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<v Speaker 3>to work how to go with it. And I like

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<v Speaker 3>the analogy. Well, actually, maybe go back. So if you

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<v Speaker 3>went back in time, so we're one hundred years of quantum,

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<v Speaker 3>and you went back in time and you asked, what

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<v Speaker 3>is the foundation is a chemistry or physics? What would

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<v Speaker 3>have probably the scientists of one hundred years ago would

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<v Speaker 3>have said is they would have said, you know, chemistry

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<v Speaker 3>is about the small, physics is about planets and things

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<v Speaker 3>like this, and one hundred years ago when Heisenberg or Einstein,

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<v Speaker 3>all the greats, Schroding her himself invented quantum mechanics. It

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<v Speaker 3>was this concept that nature is discrete, not continuous. It

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<v Speaker 3>actually brought all the physical sciences together. And now quantum

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<v Speaker 3>mechanics is like it is the foundation of the science.

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<v Speaker 3>And so now what quantum computing is by that analogy

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<v Speaker 3>is computer science. The foundation of the math is coming

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<v Speaker 3>together with the physical science to allow us to compute

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<v Speaker 3>using math that if you were to try to represent

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<v Speaker 3>it with classical computers, it takes exponential time.

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<v Speaker 2>Yeah, and it was a classical computer an expence in

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<v Speaker 2>a way that someone is well informed as I am

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<v Speaker 2>can understand it. A customer computer. It works primarily on

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<v Speaker 2>problems that can be easily represented in numerical form in numbers. Yes,

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<v Speaker 2>quantum allows you to step outside to a class of

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<v Speaker 2>problems that don't necessarily have a simple numerical representation. Yeah.

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<v Speaker 3>And so imagine I got some medicine or or some

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<v Speaker 3>set of operation, but call it A, and I then

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<v Speaker 3>follow it by a different operation B. If A followed

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<v Speaker 3>by B gave a different answer than B first followed

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<v Speaker 3>by A. So in mathematics we call that commuting. But

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<v Speaker 3>like you can think of a correlation there one one

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<v Speaker 3>gives you a different outcome to the other. That means

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<v Speaker 3>there's an algebra behind it that Representing that algebra traditionally

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<v Speaker 3>on classical computers is really really hard, whereas that algebra,

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<v Speaker 3>if we can get creative, we can come up with

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<v Speaker 3>ways of representing that math. So we step as you say,

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<v Speaker 3>we step out aside of the simple math to a

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<v Speaker 3>new to allow us to calculate interesting problems.

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<v Speaker 2>So quite in a sense, compliments, it doesn't replace judicial.

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<v Speaker 3>I think this is one of the this is you're

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<v Speaker 3>exactly on is people think quantum is going to be

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<v Speaker 3>replacing classical If your problem is good at adding numbers together,

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<v Speaker 3>you should just keep using classical computers. I think the

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<v Speaker 3>future is going to be heterogeneous accelerators, and it will

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<v Speaker 3>definitely have quantum as one. But in some sense, the

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<v Speaker 3>next generation of superstars are going to be those applied

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<v Speaker 3>mathematicians that know, how do I write a problem using

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<v Speaker 3>the simple math of classical computers or the more complicated

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<v Speaker 3>math for quantum computers, and how do I actually iterate

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<v Speaker 3>between them? And things like this. This is where I

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<v Speaker 3>think the next generation of students are going to come

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<v Speaker 3>up with much more novel ideas. I can give you

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<v Speaker 3>examples of what we want to do on quantum, but

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<v Speaker 3>like you're giving them a fundamental, foundational new thing, and

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<v Speaker 3>so I'm optimistic they will do much better jobs than

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<v Speaker 3>my generation.

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<v Speaker 2>Well, yeah, we're to get to some of the albums

0:13:03.160 --> 0:13:05.600
<v Speaker 2>in a moment. But I wanted you to the most

0:13:05.720 --> 0:13:08.560
<v Speaker 2>kind of down that you said as a kid, you

0:13:08.679 --> 0:13:10.319
<v Speaker 2>thought you might want to be a mechanic because you'd

0:13:10.320 --> 0:13:14.040
<v Speaker 2>like to build things. Describe to me what it takes

0:13:14.080 --> 0:13:17.400
<v Speaker 2>to build a quantum computer, Like, what are you doing

0:13:17.480 --> 0:13:19.320
<v Speaker 2>that's different from building a classical computer.

0:13:19.600 --> 0:13:22.199
<v Speaker 3>Yeah, so maybe I'll give you analogy and then I'll

0:13:22.200 --> 0:13:25.720
<v Speaker 3>go in. So the way classical computers, we've got them

0:13:25.800 --> 0:13:30.920
<v Speaker 3>to get to smaller and smaller sizes like five seven animeters,

0:13:30.960 --> 0:13:35.920
<v Speaker 3>five animeters and things, is actually inventing material to kill

0:13:36.000 --> 0:13:40.600
<v Speaker 3>quantum effects. So you actually put dielectrics and other things

0:13:40.679 --> 0:13:43.640
<v Speaker 3>in there to kill the quantum tunneling effects, and you

0:13:43.720 --> 0:13:48.560
<v Speaker 3>want them to behave more classically in the quantum world,

0:13:48.679 --> 0:13:50.920
<v Speaker 3>you want to get rid of all the classical effects.

0:13:51.360 --> 0:13:53.760
<v Speaker 3>So you want to get rid of the ability of

0:13:53.800 --> 0:13:56.680
<v Speaker 3>the cubits to interact with the environment, and in the

0:13:56.920 --> 0:13:59.080
<v Speaker 3>in the sort of technical world, we call it this

0:13:59.360 --> 0:14:02.360
<v Speaker 3>quantum com The more ways you want to control the

0:14:02.440 --> 0:14:06.640
<v Speaker 3>quantum computer, you open it up to interacting with everything else,

0:14:06.840 --> 0:14:10.160
<v Speaker 3>like interacting with its environment. So the biggest challenge has

0:14:10.200 --> 0:14:14.760
<v Speaker 3>always been how do we give more control but don't

0:14:14.800 --> 0:14:18.240
<v Speaker 3>bring in other sources of noise. So I want to

0:14:18.280 --> 0:14:21.320
<v Speaker 3>be able to do gates on the cubit, but I

0:14:21.360 --> 0:14:24.720
<v Speaker 3>don't want it to decohere. I want to couple the cubits,

0:14:25.000 --> 0:14:27.320
<v Speaker 3>but I don't want them to couple to other things.

0:14:27.800 --> 0:14:32.080
<v Speaker 3>So the hardest challenge is the energy inside the cubits

0:14:32.240 --> 0:14:34.440
<v Speaker 3>is a nine gigahertz, and if your tames that by

0:14:34.600 --> 0:14:38.400
<v Speaker 3>HBO ten to the niggave thirty four with nine, you're

0:14:38.440 --> 0:14:41.600
<v Speaker 3>at a tender the negative twenty like three or something

0:14:41.680 --> 0:14:45.080
<v Speaker 3>in energy. That's a tiny amount of energy. So you're

0:14:45.120 --> 0:14:48.280
<v Speaker 3>trying to have a tiny, tiny amount of energy to control,

0:14:49.080 --> 0:14:52.120
<v Speaker 3>and you don't want that to interact with anything. So

0:14:52.160 --> 0:14:54.800
<v Speaker 3>you have to cool them down, you have to isolate them,

0:14:55.080 --> 0:14:58.320
<v Speaker 3>and you have to make the quantum effects dominate over

0:14:58.360 --> 0:14:59.440
<v Speaker 3>the classical effects.

0:15:00.200 --> 0:15:03.920
<v Speaker 2>So practically, if I'm trying to do that. Right now,

0:15:04.040 --> 0:15:05.080
<v Speaker 2>how big are these machines?

0:15:05.440 --> 0:15:07.840
<v Speaker 3>So the cubits themselves are not that big, So the

0:15:07.920 --> 0:15:12.560
<v Speaker 3>cubits themselves are like a few microns. But yeah, most

0:15:12.600 --> 0:15:14.960
<v Speaker 3>of the size so you can see some of our

0:15:15.200 --> 0:15:17.200
<v Speaker 3>I got a pleasure of showing you around to one

0:15:17.240 --> 0:15:19.400
<v Speaker 3>of the machines in Yorktown. You saw that they're like

0:15:20.000 --> 0:15:22.880
<v Speaker 3>twenty foot by twenty foot in size. Most of that

0:15:23.480 --> 0:15:27.760
<v Speaker 3>is all that equipment to isolate the cubit chip, which

0:15:27.840 --> 0:15:30.440
<v Speaker 3>is only a few millimeters when you put it together

0:15:30.840 --> 0:15:34.320
<v Speaker 3>from the rest of the environment. We will, as we

0:15:34.400 --> 0:15:38.000
<v Speaker 3>get better at that, miniaturize all the isolation. But that's

0:15:38.200 --> 0:15:41.760
<v Speaker 3>cooling it down to a few milli calvin, so about

0:15:41.760 --> 0:15:45.520
<v Speaker 3>a thousand times colder than outer space. It's isolating the

0:15:45.720 --> 0:15:49.280
<v Speaker 3>noise on any electrical signal so that no noise from

0:15:49.320 --> 0:15:52.680
<v Speaker 3>the outside world gets into the system. And so that's

0:15:52.680 --> 0:15:56.120
<v Speaker 3>a lot of isolators, filters, and things like that that

0:15:56.160 --> 0:15:58.960
<v Speaker 3>we've had to invent to allow us to make the

0:15:59.040 --> 0:16:00.720
<v Speaker 3>quantum properties of the chip go.

0:16:01.160 --> 0:16:03.840
<v Speaker 2>It's like the Princess and the peak, mounds and mounds

0:16:03.880 --> 0:16:07.480
<v Speaker 2>and mounds of mattresses trying to isolate the impact of

0:16:07.560 --> 0:16:10.200
<v Speaker 2>this little thing and that maybe that's the best way

0:16:10.240 --> 0:16:10.840
<v Speaker 2>to describe it.

0:16:10.880 --> 0:16:14.040
<v Speaker 3>Yeah, and you've got to keep it really really prestige.

0:16:14.320 --> 0:16:16.200
<v Speaker 2>But that when you show me. So in the in

0:16:16.280 --> 0:16:20.000
<v Speaker 2>the lobby of the Watson Research Center in New Yorktown,

0:16:20.200 --> 0:16:23.080
<v Speaker 2>which by the way, is just the coolest building. It's

0:16:23.080 --> 0:16:27.880
<v Speaker 2>like a it's like a modernist it's awesome master piece. Anyway,

0:16:28.080 --> 0:16:30.120
<v Speaker 2>in the lobby there is there are these is it

0:16:30.280 --> 0:16:31.480
<v Speaker 2>two machines.

0:16:31.680 --> 0:16:35.120
<v Speaker 3>It's it's inside a container that has three machines.

0:16:35.160 --> 0:16:38.360
<v Speaker 2>Three machines, So what can you can you tell me

0:16:38.400 --> 0:16:40.720
<v Speaker 2>what would one of those machines cost to build right now?

0:16:41.360 --> 0:16:45.520
<v Speaker 3>So typically we put them together in a way where

0:16:45.600 --> 0:16:48.720
<v Speaker 3>we upgrade them because we want to as I as

0:16:48.720 --> 0:16:51.000
<v Speaker 3>I was talking about before, one of the things we

0:16:51.040 --> 0:16:54.640
<v Speaker 3>want to do is always get algorithms done on our machines.

0:16:55.320 --> 0:16:58.320
<v Speaker 3>And I've got a roadmap of building bigger and bigger machines.

0:16:58.840 --> 0:17:02.320
<v Speaker 3>So usually one of those quantum processors today is out

0:17:02.360 --> 0:17:06.439
<v Speaker 3>of date in six months. So we want to build

0:17:06.480 --> 0:17:10.480
<v Speaker 3>this future of computing that leverages quantum computing where every

0:17:10.520 --> 0:17:16.199
<v Speaker 3>six months we've outdated a quantum processor. Eventually, hopefully we

0:17:16.240 --> 0:17:19.280
<v Speaker 3>get to a point where it's like stable and it

0:17:19.280 --> 0:17:22.640
<v Speaker 3>can be many years operating. But we want to get

0:17:22.800 --> 0:17:25.959
<v Speaker 3>as large a quantum computer in the hands of people

0:17:26.000 --> 0:17:28.159
<v Speaker 3>to explore the math as possible to come up with

0:17:28.200 --> 0:17:31.080
<v Speaker 3>those new algorithms. So we've had a philosophy of having

0:17:31.119 --> 0:17:34.919
<v Speaker 3>them open, working with universities and things like that. So

0:17:34.920 --> 0:17:37.119
<v Speaker 3>to answer a question of costs, yes, there's cost in

0:17:37.200 --> 0:17:40.320
<v Speaker 3>building the system, but we are operating in them much

0:17:40.359 --> 0:17:43.320
<v Speaker 3>more in a service model where people pay to use

0:17:43.359 --> 0:17:47.159
<v Speaker 3>the machine because we have to continuously calibrate it and

0:17:47.200 --> 0:17:52.360
<v Speaker 3>operate it and so depending on various different things. Professors,

0:17:52.400 --> 0:17:54.920
<v Speaker 3>we have a credits program where they get free access.

0:17:55.560 --> 0:17:59.080
<v Speaker 3>Some universities and enterprises they can buy premium access and

0:17:59.119 --> 0:18:02.399
<v Speaker 3>get more access. So think of not like a cost

0:18:02.480 --> 0:18:05.480
<v Speaker 3>of it, because it's almost like a continuum. I want

0:18:05.520 --> 0:18:08.480
<v Speaker 3>to make sure that the best quantum processors that I

0:18:08.520 --> 0:18:12.160
<v Speaker 3>can build get in the hands of students and professors

0:18:12.560 --> 0:18:15.440
<v Speaker 3>and interested enterprises that want to explore these machines as

0:18:15.480 --> 0:18:20.200
<v Speaker 3>fast as possible. And typically every six months we upgrade it. Yeah,

0:18:20.400 --> 0:18:24.360
<v Speaker 3>you don't start over, you upgrade. We upgrade various different pieces,

0:18:24.400 --> 0:18:29.240
<v Speaker 3>the processor, the electronics. Some upgrades are just simply replaced

0:18:29.280 --> 0:18:33.359
<v Speaker 3>the processor. But as an example, I think many people

0:18:33.359 --> 0:18:35.920
<v Speaker 3>have probably seen photos of quantum computers and you see

0:18:35.960 --> 0:18:39.440
<v Speaker 3>this scary thing with all these wires hanging down, as

0:18:39.560 --> 0:18:42.040
<v Speaker 3>I've referred to as the chandelier, and it's got all

0:18:42.040 --> 0:18:45.320
<v Speaker 3>these wires with loops and things like that. They're called

0:18:45.520 --> 0:18:48.320
<v Speaker 3>co x cables. When we first put the quantum computer

0:18:48.400 --> 0:18:51.400
<v Speaker 3>on the cloud in twenty sixteen, you could probably only

0:18:51.440 --> 0:18:55.920
<v Speaker 3>fit about fifty cubits inside one cryostat. We've had to

0:18:56.000 --> 0:18:58.920
<v Speaker 3>upgrade all those cables so that we can fit around

0:18:59.000 --> 0:19:03.000
<v Speaker 3>one thousand to get to three thousand, and that's about minaturizing.

0:19:03.480 --> 0:19:06.120
<v Speaker 3>So to answer your question, an upgrade, it depends. It

0:19:06.160 --> 0:19:08.760
<v Speaker 3>can be just the processor or it can be the

0:19:08.840 --> 0:19:12.600
<v Speaker 3>complete insides. And we're actually in our third generation of

0:19:12.640 --> 0:19:16.320
<v Speaker 3>our electronics to control the systems to make them faster,

0:19:16.680 --> 0:19:20.639
<v Speaker 3>less noise. Internally. We've got exciting results of going to

0:19:20.720 --> 0:19:24.479
<v Speaker 3>something like cold cryocemos. So you can bring down the

0:19:24.520 --> 0:19:28.440
<v Speaker 3>cost in terms of energy of running these quantum computers

0:19:28.720 --> 0:19:32.440
<v Speaker 3>almost to negligible, and you could imagine future quantum computers.

0:19:33.080 --> 0:19:35.639
<v Speaker 3>I'm not going to require much energy to run, so

0:19:35.960 --> 0:19:39.800
<v Speaker 3>unlike classical compute that requires lots of energy. The biggest

0:19:39.840 --> 0:19:42.440
<v Speaker 3>machines that we envision is only in the few megawatts,

0:19:42.960 --> 0:19:46.000
<v Speaker 3>but we have to upgrade to future controls that use

0:19:46.080 --> 0:19:50.920
<v Speaker 3>less energy. So it depends it's my long answer, short

0:19:50.960 --> 0:19:53.840
<v Speaker 3>answer to how it upgrades, and it depends on what

0:19:53.920 --> 0:19:54.199
<v Speaker 3>it is.

0:19:54.480 --> 0:19:57.320
<v Speaker 2>The only observation that I felt I was capable of

0:19:57.320 --> 0:20:01.119
<v Speaker 2>making when you showed me the quantum machine is it's gorgeous.

0:20:01.880 --> 0:20:02.560
<v Speaker 2>I look a art.

0:20:02.920 --> 0:20:06.399
<v Speaker 3>I've always believed that, and I think that there's an

0:20:06.400 --> 0:20:09.520
<v Speaker 3>IBM saying good design is good business. But we've always

0:20:09.840 --> 0:20:14.240
<v Speaker 3>taken pride in making sure what we build. I don't know,

0:20:14.359 --> 0:20:17.840
<v Speaker 3>I feel if you're going to build something that is new,

0:20:18.400 --> 0:20:21.560
<v Speaker 3>that can change, you should take the time to make

0:20:21.600 --> 0:20:23.040
<v Speaker 3>sure it looks and feels good.

0:20:23.200 --> 0:20:26.520
<v Speaker 2>Will you donated to MoMA when you're through with that particular?

0:20:27.320 --> 0:20:31.479
<v Speaker 3>Actually, I think we just put an old version of

0:20:31.480 --> 0:20:36.159
<v Speaker 3>one of our insights with the United Airlines and the AAPS,

0:20:36.160 --> 0:20:39.080
<v Speaker 3>which is the American Physical Society and the University of Chicago.

0:20:39.400 --> 0:20:42.240
<v Speaker 3>There's a replica right now. If you fly into one

0:20:42.280 --> 0:20:45.280
<v Speaker 3>of the terminals in Chicago, you can walk and see one.

0:20:45.600 --> 0:20:47.920
<v Speaker 2>Oh really, yeah, well the most advanced thing at a

0:20:48.040 --> 0:20:49.120
<v Speaker 2>air I'm sure.

0:20:49.119 --> 0:20:52.200
<v Speaker 3>Probably, but yeah, I hopefully. I think, yeah, we're open

0:20:52.240 --> 0:20:55.800
<v Speaker 3>to that. But yeah, I appreciate that you love the design.

0:20:55.960 --> 0:20:59.280
<v Speaker 2>It was beautiful. So I last week I interviewed for

0:20:59.320 --> 0:21:05.080
<v Speaker 2>another episode Smotox, your CEO, Ivin Krishne, and when we

0:21:05.160 --> 0:21:08.480
<v Speaker 2>got to the quantum question. I mean, he's always alliant

0:21:08.600 --> 0:21:13.800
<v Speaker 2>and brilliant, and but quantum, he's like lit up. I

0:21:13.800 --> 0:21:17.639
<v Speaker 2>mean right in thinking that IBM is much more invested

0:21:18.280 --> 0:21:20.800
<v Speaker 2>in quantum than anybody else. Is that a fair statement? Oh?

0:21:20.880 --> 0:21:21.840
<v Speaker 3>Yeah, most definitely.

0:21:22.040 --> 0:21:25.320
<v Speaker 2>Why Why did IBM choose to kind of make this

0:21:25.400 --> 0:21:26.200
<v Speaker 2>such a priority.

0:21:26.560 --> 0:21:29.639
<v Speaker 3>So when I took to the history of the physics side,

0:21:30.440 --> 0:21:33.400
<v Speaker 3>there's this interesting thing in the history of computing. So

0:21:33.560 --> 0:21:37.600
<v Speaker 3>we build computer like classical computers today using bits and

0:21:37.680 --> 0:21:40.640
<v Speaker 3>ce moss, and they consume energy. Do you know that

0:21:40.680 --> 0:21:43.720
<v Speaker 3>there is a way in classical where you can actually

0:21:43.920 --> 0:21:48.200
<v Speaker 3>compute without using energy. It's called reversal computing. Turns out

0:21:48.240 --> 0:21:52.040
<v Speaker 3>to be a terrible idea, it's not practical to build.

0:21:52.440 --> 0:21:57.320
<v Speaker 3>But IBM investigated that with Ralph Laura and Charlie Bennett

0:21:57.480 --> 0:22:00.920
<v Speaker 3>early on, and they proved the concept that we're versable computing.

0:22:01.400 --> 0:22:04.879
<v Speaker 3>The first use of quantum information theory. One of the

0:22:04.920 --> 0:22:08.440
<v Speaker 3>first actually was from IBM. When I did my PhD,

0:22:09.119 --> 0:22:12.480
<v Speaker 3>I remember actually picking up this paper on quantum teleportation

0:22:13.080 --> 0:22:15.480
<v Speaker 3>and seeing IBM written there, and at the time I

0:22:15.480 --> 0:22:18.040
<v Speaker 3>remember thinking that they make PCs. Well, what the hell

0:22:18.080 --> 0:22:23.240
<v Speaker 3>are they doing this foundational paper on quantum teleportation? Why

0:22:23.240 --> 0:22:25.800
<v Speaker 3>are they doing it? So to answer your question, actually,

0:22:25.840 --> 0:22:30.360
<v Speaker 3>IBM was the first in quantum information science because it's

0:22:30.400 --> 0:22:34.280
<v Speaker 3>the fundamental of computation. Can we actually come up with

0:22:34.359 --> 0:22:38.639
<v Speaker 3>compute that we can go beyond the classical So way

0:22:38.720 --> 0:22:42.679
<v Speaker 3>before anyone was talking about it, they were doing fundamental theory.

0:22:43.359 --> 0:22:46.119
<v Speaker 3>And then as we've built it, we've always When I

0:22:46.160 --> 0:22:49.479
<v Speaker 3>first came there, the experimental team was small. In twenty eleven,

0:22:50.000 --> 0:22:53.919
<v Speaker 3>we've had a small team that we're focusing on single

0:22:54.000 --> 0:22:58.320
<v Speaker 3>cubits coupling in them. I think in twenty twelve was

0:22:58.320 --> 0:23:01.879
<v Speaker 3>the first time we showed really good two Cuba gates

0:23:02.680 --> 0:23:05.919
<v Speaker 3>and no one was talking about quantum computing that And

0:23:05.960 --> 0:23:09.720
<v Speaker 3>then I remember in about twenty sixteen I said to

0:23:10.040 --> 0:23:13.520
<v Speaker 3>actually Arvin was the director of research, then can we

0:23:13.680 --> 0:23:17.000
<v Speaker 3>actually put our quantum computer on the cloud? Well that's

0:23:17.000 --> 0:23:21.719
<v Speaker 3>probably twenty fifteen, and it was always supporting that. So

0:23:21.800 --> 0:23:24.240
<v Speaker 3>as we've done more and more we've been able to

0:23:24.280 --> 0:23:28.160
<v Speaker 3>do it. It's had this program going now, I agree

0:23:28.560 --> 0:23:31.800
<v Speaker 3>is very visible, like because we're in this scaling phase

0:23:32.200 --> 0:23:35.800
<v Speaker 3>and so we're invested to keep scaling it and to

0:23:35.840 --> 0:23:40.280
<v Speaker 3>get why is At IBM research, what we always do

0:23:40.520 --> 0:23:43.520
<v Speaker 3>is answer what is the future of computing? Whether it's

0:23:43.520 --> 0:23:47.480
<v Speaker 3>coming up with new algorithms, coming up with better AI,

0:23:47.800 --> 0:23:50.840
<v Speaker 3>coming up with quantum, or coming up with just how

0:23:50.880 --> 0:23:54.240
<v Speaker 3>do different accelerators go together. It's our DNA to answer

0:23:54.240 --> 0:23:55.919
<v Speaker 3>the question of what is the future.

0:23:56.080 --> 0:23:58.399
<v Speaker 2>Need a perfect problem for IBM because you kind of

0:23:58.440 --> 0:24:04.280
<v Speaker 2>need to have a legacy of buildings, building actual physical machines.

0:24:04.880 --> 0:24:08.800
<v Speaker 3>Yeah, it's why I came to IBM. I wanted the experience,

0:24:09.520 --> 0:24:14.040
<v Speaker 3>the culture of building hard things that others have not

0:24:14.160 --> 0:24:14.760
<v Speaker 3>done before.

0:24:16.119 --> 0:24:18.480
<v Speaker 2>Where do you imagine we are in the timeline of

0:24:18.480 --> 0:24:22.680
<v Speaker 2>this technology? It will come a point when it will mature.

0:24:23.760 --> 0:24:26.479
<v Speaker 2>My cell phone is a mature technology at this point.

0:24:26.680 --> 0:24:29.080
<v Speaker 2>How far are we from that point with condom?

0:24:29.520 --> 0:24:32.120
<v Speaker 3>So I think there's various aspects of it. So we

0:24:32.160 --> 0:24:35.600
<v Speaker 3>set in twenty and seventy we set our goal that

0:24:35.680 --> 0:24:38.400
<v Speaker 3>in twenty twenty three we would be able to build

0:24:38.440 --> 0:24:42.920
<v Speaker 3>a machine that was beyond classical computers to simulate it,

0:24:43.560 --> 0:24:46.479
<v Speaker 3>and we achieved that in twenty twenty three. So to

0:24:47.520 --> 0:24:49.439
<v Speaker 3>run a bigger we call it a quantum circuit. The

0:24:49.480 --> 0:24:51.560
<v Speaker 3>details of it din't matter, but to run a quantum

0:24:51.600 --> 0:24:55.760
<v Speaker 3>workload that if you were to simulate that workload how

0:24:55.800 --> 0:24:58.840
<v Speaker 3>a quantum computer operates on a classical computer, you couldn't

0:24:58.840 --> 0:25:01.560
<v Speaker 3>do it. So we set that does our first and

0:25:01.600 --> 0:25:04.720
<v Speaker 3>now I've made it publicly that by twenty twenty nine

0:25:04.960 --> 0:25:08.240
<v Speaker 3>we'll build the first fault tolerant corantum computer. That is,

0:25:08.280 --> 0:25:12.920
<v Speaker 3>one that can completely handle the noise to the level

0:25:13.000 --> 0:25:16.680
<v Speaker 3>to allow you to run a very very large, large problem.

0:25:16.800 --> 0:25:19.160
<v Speaker 2>So an example of a large problem.

0:25:18.880 --> 0:25:22.480
<v Speaker 3>Yeah, a large quantum problem. So for around a couple

0:25:22.480 --> 0:25:26.040
<v Speaker 3>of one hundred cubits and one hundred million operations, you're

0:25:26.080 --> 0:25:31.639
<v Speaker 3>talking still interesting science problems like simulating a molecule, or

0:25:32.080 --> 0:25:39.480
<v Speaker 3>calculating a small optimization problem, or calculating say some part

0:25:39.760 --> 0:25:42.560
<v Speaker 3>of a matrix update in some type of differential. So

0:25:42.560 --> 0:25:45.560
<v Speaker 3>it'll still be scientific, but it'll be at the point

0:25:45.640 --> 0:25:51.439
<v Speaker 3>where it's beyond, well beyond any classical approximate method. And

0:25:51.480 --> 0:25:54.440
<v Speaker 3>then I think that's twenty twenty nine that's twenty twenty nine,

0:25:54.640 --> 0:25:55.920
<v Speaker 3>so we're four.

0:25:55.800 --> 0:25:58.560
<v Speaker 2>Years away from something that can start to handle.

0:25:58.880 --> 0:26:02.800
<v Speaker 3>Interesting problem, serious problems. I do believe the scientists will

0:26:02.840 --> 0:26:06.320
<v Speaker 3>find interesting heuristic problems before that, and so over the

0:26:06.320 --> 0:26:08.800
<v Speaker 3>next four years, you're going to continue to see more

0:26:08.840 --> 0:26:13.400
<v Speaker 3>and more let's call them heuristic not provable quantum problems

0:26:13.400 --> 0:26:16.440
<v Speaker 3>that run on quantum computers that come out. We're seeing

0:26:16.560 --> 0:26:19.320
<v Speaker 3>more and more come from many of our partners and ourselves.

0:26:19.600 --> 0:26:22.400
<v Speaker 3>Heuristic problems have value, but they have to be tested,

0:26:22.480 --> 0:26:24.200
<v Speaker 3>they have to stand up over time. You have to

0:26:24.280 --> 0:26:26.679
<v Speaker 3>run them many, many times, you have to try different ones,

0:26:27.160 --> 0:26:30.200
<v Speaker 3>and many times heuristic can lead to formal problems. So

0:26:30.280 --> 0:26:32.359
<v Speaker 3>you're going to see because we're beyond now the point

0:26:32.400 --> 0:26:36.760
<v Speaker 3>that you can simulate these quantum computers with any classical computer.

0:26:36.840 --> 0:26:40.320
<v Speaker 3>They're kind of like a scientific tool. So they're exploring

0:26:40.400 --> 0:26:40.960
<v Speaker 3>the heuristic.

0:26:41.200 --> 0:26:42.800
<v Speaker 2>What do you have to get done between now and

0:26:42.840 --> 0:26:44.160
<v Speaker 2>twenty twenty nine to get there?

0:26:44.600 --> 0:26:46.760
<v Speaker 3>So we had to reinvent how we wanted to do

0:26:46.880 --> 0:26:50.840
<v Speaker 3>error correction. So we have to demonstrate modules and if

0:26:50.880 --> 0:26:54.560
<v Speaker 3>we can demonstrate these error corrected module and our goal

0:26:54.680 --> 0:26:57.320
<v Speaker 3>is actually it's called Crookobarro I name all our chips

0:26:57.359 --> 0:26:59.920
<v Speaker 3>after birds, so it's called Kookobara. It is named after

0:27:00.040 --> 0:27:02.720
<v Speaker 3>an Australian verte. I think I still say kooka burrow

0:27:02.840 --> 0:27:07.080
<v Speaker 3>the way Australians do. We need to then show that

0:27:07.119 --> 0:27:09.320
<v Speaker 3>we can make a single module and then we want

0:27:09.359 --> 0:27:11.760
<v Speaker 3>to connect two of those modules together, and I call

0:27:11.840 --> 0:27:15.600
<v Speaker 3>that one cockatoo, which is another Australian vert. And then

0:27:15.640 --> 0:27:18.720
<v Speaker 3>if we can do that, so that's twenty six and

0:27:18.880 --> 0:27:21.760
<v Speaker 3>twenty seven, and then we want to scale the scale

0:27:21.800 --> 0:27:24.640
<v Speaker 3>those modules, and that we call starling and we want

0:27:24.640 --> 0:27:27.760
<v Speaker 3>to scale that in twenty twenty nine. So get a module,

0:27:28.119 --> 0:27:31.679
<v Speaker 3>join two modules together and scale and so each module

0:27:31.720 --> 0:27:33.400
<v Speaker 3>is going to be around one thousand cubits.

0:27:34.440 --> 0:27:36.960
<v Speaker 2>The challenge to getting there is it finding the right

0:27:37.200 --> 0:27:41.000
<v Speaker 2>material or how would you describe what? That's the beauty

0:27:41.119 --> 0:27:41.440
<v Speaker 2>to be done.

0:27:41.440 --> 0:27:45.399
<v Speaker 3>That's the beauty of it is if we would have

0:27:45.400 --> 0:27:48.480
<v Speaker 3>been here two years ago, I couldn't tell you how

0:27:48.520 --> 0:27:51.439
<v Speaker 3>it would be done. So we had a huge breakthrough.

0:27:51.680 --> 0:27:54.360
<v Speaker 3>We came up with a new code, a new quantumeric

0:27:54.440 --> 0:27:58.639
<v Speaker 3>Russian code, and that code. The biggest im part of

0:27:58.680 --> 0:28:01.600
<v Speaker 3>that code that is the most important is it's modular

0:28:01.640 --> 0:28:06.280
<v Speaker 3>in nature. So previous codes without getting too technical, they

0:28:06.280 --> 0:28:09.120
<v Speaker 3>were very monolithic and you had to build a very

0:28:09.119 --> 0:28:11.399
<v Speaker 3>big device, and I wouldn't have known we would have

0:28:11.520 --> 0:28:15.400
<v Speaker 3>to invent tools like new Simos tools to do that.

0:28:16.160 --> 0:28:19.080
<v Speaker 3>So we came up with this new code. We started

0:28:19.160 --> 0:28:21.879
<v Speaker 3>on twenty nineteen, we published in twenty twenty four. We

0:28:21.960 --> 0:28:23.879
<v Speaker 3>kind of had most of things worked out in twenty

0:28:23.920 --> 0:28:26.960
<v Speaker 3>twenty three. That's why we got confident to release the thing.

0:28:27.359 --> 0:28:29.520
<v Speaker 3>So the biggest breakthrough we had is coming up with

0:28:29.560 --> 0:28:32.320
<v Speaker 3>a code that's modular in nature, and think of that

0:28:32.359 --> 0:28:35.159
<v Speaker 3>as a like a blueprint. And so now we have

0:28:35.320 --> 0:28:40.320
<v Speaker 3>the blueprint, and now we're doing engineering tasks to implement

0:28:40.400 --> 0:28:41.960
<v Speaker 3>every part of that blueprint.

0:28:42.200 --> 0:28:45.280
<v Speaker 2>And so the minute you had that breakthrough, then you

0:28:45.400 --> 0:28:48.200
<v Speaker 2>began to have confidence at something exactly these goals could

0:28:48.200 --> 0:28:49.000
<v Speaker 2>be met.

0:28:48.800 --> 0:28:52.520
<v Speaker 3>And then you can't. And then anyone that's done engineering

0:28:52.760 --> 0:28:54.560
<v Speaker 3>will know what I'm talking about when I say this

0:28:54.680 --> 0:28:58.880
<v Speaker 3>is cycles are learning. It takes so long from test

0:28:58.920 --> 0:29:03.000
<v Speaker 3>idea to build two tests. In hardware, the cycles of

0:29:03.120 --> 0:29:05.440
<v Speaker 3>learning are much much lower than software, Like you can

0:29:05.480 --> 0:29:08.720
<v Speaker 3>be really really faster in the software. So then we've

0:29:08.800 --> 0:29:12.479
<v Speaker 3>planned out our iterations over the next few years, and

0:29:12.560 --> 0:29:16.760
<v Speaker 3>so we have to successfully demonstrate them. I may slip,

0:29:16.840 --> 0:29:21.600
<v Speaker 3>because sometimes you may estimate your time wrong, but we

0:29:21.720 --> 0:29:24.160
<v Speaker 3>now have exactly what we want to do for the

0:29:24.200 --> 0:29:24.920
<v Speaker 3>next four years.

0:29:25.040 --> 0:29:26.600
<v Speaker 2>I want to go back to that breakthrough for a moment.

0:29:26.760 --> 0:29:29.440
<v Speaker 2>What does the word breaks we mean in that context, Like,

0:29:29.720 --> 0:29:31.800
<v Speaker 2>it's not that you get a call in the morning

0:29:32.240 --> 0:29:34.720
<v Speaker 2>from somebody who says, I did it. Do you see

0:29:34.760 --> 0:29:36.920
<v Speaker 2>it coming? Or is it a surprise when they get there.

0:29:37.120 --> 0:29:40.760
<v Speaker 3>So the way this one worked is Sogo Brave, who's

0:29:41.280 --> 0:29:44.240
<v Speaker 3>an algorithm person at IBM, one of the smartest and

0:29:44.360 --> 0:29:45.160
<v Speaker 3>quantum information.

0:29:45.520 --> 0:29:49.440
<v Speaker 2>Don't mention his name to everyone value you'll come for him.

0:29:49.520 --> 0:29:52.320
<v Speaker 3>Everyone in quantum already knows his name. I don't think

0:29:52.360 --> 0:29:56.280
<v Speaker 3>there's an idea that has not originated from him in quantum.

0:29:58.360 --> 0:30:01.040
<v Speaker 3>So we're looking at other codes and we'll go all right,

0:30:02.080 --> 0:30:05.840
<v Speaker 3>we've got to get serious about these codes. And others

0:30:05.960 --> 0:30:08.560
<v Speaker 3>were starting to propose to bring these and then we

0:30:08.600 --> 0:30:13.320
<v Speaker 3>call them LDBC codes from the classical space into the quantum.

0:30:13.840 --> 0:30:16.560
<v Speaker 3>And I asked him, we need to get ahead of

0:30:16.600 --> 0:30:19.280
<v Speaker 3>this and understand what they're doing it. He's like the

0:30:19.320 --> 0:30:23.080
<v Speaker 3>most modest perfuse late, Jay, let me learn about them

0:30:23.160 --> 0:30:26.280
<v Speaker 3>and I'll generate a report for us and we'll read

0:30:26.280 --> 0:30:29.320
<v Speaker 3>through it. And then I said, great, Then I don't know.

0:30:29.400 --> 0:30:31.760
<v Speaker 3>Six months later, he comes back with one hundred page

0:30:31.800 --> 0:30:35.760
<v Speaker 3>report on everyone. Everyone had done an LTPC codes. I'm like, awesome.

0:30:35.800 --> 0:30:39.280
<v Speaker 3>So I started then to read from them. And then

0:30:39.400 --> 0:30:42.440
<v Speaker 3>we said, all right, how do we under the assumptions

0:30:42.440 --> 0:30:45.360
<v Speaker 3>of the hardware we can build? Can we get an

0:30:45.520 --> 0:30:51.280
<v Speaker 3>LTPC code knowing what we can build? And that's a

0:30:51.280 --> 0:30:54.160
<v Speaker 3>great question, and so we put a small team together

0:30:54.560 --> 0:30:58.280
<v Speaker 3>to investigate and honestly took two to three years, and

0:30:58.680 --> 0:31:02.840
<v Speaker 3>we iterated, and we used the constraints, so we had

0:31:02.880 --> 0:31:05.720
<v Speaker 3>the sort of theory, and then we had the constraints

0:31:05.720 --> 0:31:08.440
<v Speaker 3>of what we could build. And we iterated for a

0:31:08.480 --> 0:31:10.920
<v Speaker 3>few years, and then at the end of that we

0:31:11.000 --> 0:31:13.880
<v Speaker 3>came out with a solution that, yes, it is possible

0:31:13.960 --> 0:31:17.080
<v Speaker 3>to meet all the constraints of the hardware and build

0:31:17.120 --> 0:31:18.360
<v Speaker 3>a code that will work.

0:31:18.960 --> 0:31:22.720
<v Speaker 2>I'm just curious about So you had this task, this

0:31:22.880 --> 0:31:26.320
<v Speaker 2>problem you want to solve, and when you set out

0:31:26.320 --> 0:31:28.520
<v Speaker 2>on the task of trying to solve the problem, what's

0:31:28.560 --> 0:31:31.400
<v Speaker 2>your certainty level that you'll get a solution.

0:31:31.840 --> 0:31:35.160
<v Speaker 3>Well, that's the beauty of science. For things where you

0:31:35.320 --> 0:31:39.160
<v Speaker 3>kind of have a few ideas. My philosophy is try

0:31:39.200 --> 0:31:41.760
<v Speaker 3>a few for the ones that need to be in

0:31:41.840 --> 0:31:46.760
<v Speaker 3>that like wow moment. It's honestly, you've got to set

0:31:46.760 --> 0:31:50.120
<v Speaker 3>the ambition really, really high, but know when to stop.

0:31:51.040 --> 0:31:53.080
<v Speaker 3>It was a great team that went together to get

0:31:53.120 --> 0:31:56.080
<v Speaker 3>that breakthrough, and we knew that we needed to come

0:31:56.160 --> 0:31:59.959
<v Speaker 3>up with a code that met the requirements of the experiment.

0:32:00.760 --> 0:32:04.480
<v Speaker 3>And I think what was different before then is the

0:32:04.480 --> 0:32:09.200
<v Speaker 3>theorists that were doing error correction codes didn't necessarily know

0:32:09.440 --> 0:32:12.960
<v Speaker 3>the constraints of experiments, so it was like really more

0:32:13.000 --> 0:32:15.480
<v Speaker 3>pen and paper. So this became one all right, given

0:32:15.520 --> 0:32:18.240
<v Speaker 3>these sets of constraints, is it possible?

0:32:18.720 --> 0:32:21.600
<v Speaker 2>When that's questions about this? Sorry, And I love these

0:32:21.680 --> 0:32:24.760
<v Speaker 2>kind of moments when things become clear. At the time

0:32:24.840 --> 0:32:28.240
<v Speaker 2>the problem was solved, were you aware of the implications

0:32:28.240 --> 0:32:31.960
<v Speaker 2>of the solution or did that takes you knew exactly.

0:32:31.600 --> 0:32:35.959
<v Speaker 3>What we set out exactly like either we were going

0:32:36.040 --> 0:32:38.080
<v Speaker 3>to have to work out how to cool down a

0:32:38.200 --> 0:32:41.720
<v Speaker 3>very large piece of silicon, which would require a lot

0:32:41.760 --> 0:32:44.880
<v Speaker 3>of engineering and building tools beyond what anyone has ever

0:32:44.920 --> 0:32:49.600
<v Speaker 3>built in the silicon semoss industry. To implement the known

0:32:49.680 --> 0:32:52.959
<v Speaker 3>codes or we had to come up with a different one,

0:32:53.200 --> 0:32:55.760
<v Speaker 3>and once I knew that we had one that I

0:32:55.960 --> 0:33:00.800
<v Speaker 3>didn't need to reinvent any tools to build. The implications

0:33:00.800 --> 0:33:01.600
<v Speaker 3>are clear how.

0:33:01.600 --> 0:33:04.680
<v Speaker 2>Much time elapsed between the time you heard the problem

0:33:04.760 --> 0:33:07.960
<v Speaker 2>was solved and the time you told Arvin Krishna, the CEO,

0:33:08.080 --> 0:33:09.320
<v Speaker 2>the problem was solved.

0:33:10.320 --> 0:33:12.840
<v Speaker 3>I'm sure the next time I spoke to him, I update,

0:33:12.840 --> 0:33:15.760
<v Speaker 3>but I don't remember. The beauty of Avin is he

0:33:15.840 --> 0:33:18.400
<v Speaker 3>trusts the scientists will do it, and so he doesn't

0:33:18.400 --> 0:33:21.040
<v Speaker 3>really check on us. We update him when when it

0:33:21.160 --> 0:33:24.400
<v Speaker 3>is and he he empowers us to do really hard problems.

0:33:24.600 --> 0:33:28.320
<v Speaker 2>Yeah, so let's talk about uses. I mean they're really

0:33:28.440 --> 0:33:32.280
<v Speaker 2>like cool, big shiny machine. I think you'll get paid

0:33:32.320 --> 0:33:35.560
<v Speaker 2>twenty twenty nine. But there's all kinds of really interesting

0:33:35.560 --> 0:33:37.000
<v Speaker 2>problems you're already working on.

0:33:37.400 --> 0:33:42.640
<v Speaker 3>Yes, this is like another interesting area is I can

0:33:42.800 --> 0:33:46.360
<v Speaker 3>prove in pen and paper algorithms that we want to

0:33:46.440 --> 0:33:48.680
<v Speaker 3>run that. Like, it's not that we don't know what

0:33:48.720 --> 0:33:51.680
<v Speaker 3>to do with a quantum computer. There are hundreds of algorithms.

0:33:51.680 --> 0:33:54.240
<v Speaker 3>So you can go to I think it's called quantumzoo

0:33:54.280 --> 0:33:57.280
<v Speaker 3>dot com and you can see many many algorithms people

0:33:57.320 --> 0:33:58.880
<v Speaker 3>are coming up with more of more of them that

0:33:59.000 --> 0:34:02.440
<v Speaker 3>they prove by pen and paper. But imagine now we

0:34:02.560 --> 0:34:07.160
<v Speaker 3>have a machine that you can't simulate. How do you

0:34:07.280 --> 0:34:12.799
<v Speaker 3>actually discover algorithms in a scientific way? How do you

0:34:12.920 --> 0:34:16.680
<v Speaker 3>look and discover algorithms using a quantum computer. We're in

0:34:16.719 --> 0:34:21.120
<v Speaker 3>this exciting period right now, and so even though I

0:34:21.120 --> 0:34:23.600
<v Speaker 3>can prove these ones that we can run in the future,

0:34:24.120 --> 0:34:27.960
<v Speaker 3>there's a big white space between what the machines we

0:34:28.040 --> 0:34:30.040
<v Speaker 3>have and we're going to build and continue to do

0:34:30.480 --> 0:34:35.080
<v Speaker 3>and those ones that want the provable ones. And I'm

0:34:35.120 --> 0:34:40.440
<v Speaker 3>an optimistic person by nature. I think getting those machines

0:34:40.480 --> 0:34:42.879
<v Speaker 3>in the hands of students to explore and look at

0:34:42.880 --> 0:34:47.080
<v Speaker 3>heuristic algorithms. So looking at the equivalent of doing numerical

0:34:47.120 --> 0:34:52.919
<v Speaker 3>algorithms on computers, which there's many histories of numerical algorithms

0:34:53.000 --> 0:34:57.240
<v Speaker 3>being discovered on classical computers before we had formal proofs

0:34:57.560 --> 0:35:00.239
<v Speaker 3>that we rely on today people would even are you

0:35:00.400 --> 0:35:04.040
<v Speaker 3>the way AI works was driven numerically, even though we

0:35:04.080 --> 0:35:08.480
<v Speaker 3>have input into it. There are ones in optimization driven numerically.

0:35:09.000 --> 0:35:12.839
<v Speaker 3>We are entering that phase. So the computer scientists now

0:35:13.440 --> 0:35:17.120
<v Speaker 3>need to go play with these primitives. Our prediction is

0:35:17.840 --> 0:35:20.560
<v Speaker 3>over the next couple of years, we're going to see

0:35:20.960 --> 0:35:25.759
<v Speaker 3>valuable numerical equivalent algorithms emerge. And where the scientists are

0:35:25.800 --> 0:35:29.680
<v Speaker 3>going is in four categories. One is simulating nature, so

0:35:29.800 --> 0:35:34.279
<v Speaker 3>looking at either hay Enerji physics, chemistry, light problems. As

0:35:34.280 --> 0:35:38.000
<v Speaker 3>an example, with our partners in Japan, they took one

0:35:38.040 --> 0:35:42.040
<v Speaker 3>of our quantum computers and for Gackle, a very large

0:35:42.760 --> 0:35:46.960
<v Speaker 3>classical supercomputer, and they ran a problem where quantum was

0:35:47.080 --> 0:35:50.280
<v Speaker 3>just a sub routine of the problem that was running

0:35:50.320 --> 0:35:52.080
<v Speaker 3>on all of for Gackle, and they were able to

0:35:52.120 --> 0:35:55.000
<v Speaker 3>look at an interesting molecule, a molecule that if you

0:35:55.000 --> 0:35:56.759
<v Speaker 3>would go by pan and paper you would have said,

0:35:56.800 --> 0:35:58.440
<v Speaker 3>it's going to take me a very long time to

0:35:58.520 --> 0:36:01.160
<v Speaker 3>run that. They were able to on that quite accurately,

0:36:01.239 --> 0:36:04.799
<v Speaker 3>heuristically and already get results that are comparable with the

0:36:04.800 --> 0:36:08.040
<v Speaker 3>best classical methods. So they are extremely excited because they

0:36:08.040 --> 0:36:10.320
<v Speaker 3>want to push that further, and they're sort of showing

0:36:10.360 --> 0:36:13.480
<v Speaker 3>that you can take a classical supercomputer with quantum as

0:36:13.480 --> 0:36:16.200
<v Speaker 3>a subroutine and start to push the level.

0:36:16.160 --> 0:36:19.200
<v Speaker 2>They were This was trying to solve a medical problem.

0:36:19.239 --> 0:36:23.560
<v Speaker 3>Is this one is a like most people don't realize,

0:36:23.640 --> 0:36:26.520
<v Speaker 3>like iron sulfur, just something as simple as iron and sulfur,

0:36:26.880 --> 0:36:31.480
<v Speaker 3>we can't solve that exactly, Like iron sulfur, molecules are

0:36:31.520 --> 0:36:35.839
<v Speaker 3>too hard. So really small small molecules are really really hard,

0:36:35.920 --> 0:36:38.759
<v Speaker 3>too hard for classical computers to solve. People think we

0:36:38.800 --> 0:36:41.000
<v Speaker 3>can solve a lot of things. It actually turns out

0:36:41.040 --> 0:36:42.240
<v Speaker 3>we can't solve very much.

0:36:42.440 --> 0:36:45.319
<v Speaker 2>You say solve ins instance, you know precisely how that

0:36:45.360 --> 0:36:47.480
<v Speaker 2>molecule works and is constructed.

0:36:47.480 --> 0:36:51.560
<v Speaker 3>No, precisely what the energy levels of that molecule is

0:36:51.640 --> 0:36:54.400
<v Speaker 3>and how they come together, and then be able to

0:36:54.400 --> 0:36:56.719
<v Speaker 3>do that on a classical computer and compare it to

0:36:56.719 --> 0:36:57.640
<v Speaker 3>a quantum.

0:36:57.320 --> 0:37:00.520
<v Speaker 2>It would be really really useful to know that specific.

0:37:00.360 --> 0:37:03.759
<v Speaker 3>Because if you can have energy levels, then you can

0:37:03.880 --> 0:37:07.640
<v Speaker 3>estimate reaction rates. If you can estimate reaction rates, you

0:37:07.640 --> 0:37:11.440
<v Speaker 3>can see how different types of chemicals will react. That

0:37:11.480 --> 0:37:14.680
<v Speaker 3>can then lead to better informing eventually how to build

0:37:14.719 --> 0:37:17.719
<v Speaker 3>materials or even drug design. I just want to be

0:37:17.719 --> 0:37:19.759
<v Speaker 3>careful and not say, oh, we're going to solve drug

0:37:19.800 --> 0:37:24.520
<v Speaker 3>design or that, because there's many scientific steps to make

0:37:24.560 --> 0:37:27.600
<v Speaker 3>that so and so what quantum gives you as a

0:37:27.600 --> 0:37:30.879
<v Speaker 3>different tool to give you more accuracy and then lead

0:37:30.960 --> 0:37:32.719
<v Speaker 3>to making the different methods work.

0:37:33.320 --> 0:37:38.160
<v Speaker 2>You can subcontract out aspects of a problem quantum right now,

0:37:38.200 --> 0:37:41.440
<v Speaker 2>and that just gets you further along and you would.

0:37:41.200 --> 0:37:44.840
<v Speaker 3>Have been so at the moment. Even this result still

0:37:44.960 --> 0:37:49.120
<v Speaker 3>does not beat the best approximate classical method. It's comparable.

0:37:49.520 --> 0:37:53.680
<v Speaker 3>So the art of chemistry for the last hundred years

0:37:53.960 --> 0:37:57.680
<v Speaker 3>has been about approximating. So what we've done is we

0:37:57.800 --> 0:38:01.320
<v Speaker 3>have got very very good are coming up with ways

0:38:01.360 --> 0:38:05.279
<v Speaker 3>of approximating nature. And a lot of the things that

0:38:05.320 --> 0:38:09.080
<v Speaker 3>we do and we exploit and we use to estimate approximations.

0:38:09.120 --> 0:38:11.360
<v Speaker 3>They don't a stimulate nature of the way nature is.

0:38:11.400 --> 0:38:15.680
<v Speaker 3>They approximate it. And there's I could list many different

0:38:15.760 --> 0:38:20.560
<v Speaker 3>acronyms of different methods that go into approximating nature. What

0:38:20.680 --> 0:38:24.560
<v Speaker 3>quantum gives us is to eventually get beyond that approximation

0:38:25.160 --> 0:38:27.800
<v Speaker 3>and do it the way nature works. And so we

0:38:28.280 --> 0:38:31.680
<v Speaker 3>aren't beating those approximation methods. And this is why I think,

0:38:31.719 --> 0:38:33.239
<v Speaker 3>this is why it's still in the science. But they're

0:38:33.239 --> 0:38:36.960
<v Speaker 3>getting comparable. Getting comparable with a new tool where the

0:38:37.000 --> 0:38:41.640
<v Speaker 3>previous tool is a dead end makes scientists very excited. Yeah,

0:38:41.800 --> 0:38:44.080
<v Speaker 3>that nuance is where it is, and so that's in

0:38:44.160 --> 0:38:48.600
<v Speaker 3>machine learning, sorry Hamiltonian. Then there's examples in differential equations,

0:38:49.080 --> 0:38:51.960
<v Speaker 3>So can I actually come up with differential equations and

0:38:52.000 --> 0:38:54.520
<v Speaker 3>solve them? And if I can solve them, you could

0:38:54.520 --> 0:38:57.920
<v Speaker 3>look at things like an avious Stokes equation goes into weather.

0:38:58.440 --> 0:39:01.960
<v Speaker 3>There's financial differential equations that you can better predict. So

0:39:02.040 --> 0:39:05.640
<v Speaker 3>differential equations. There's many different examples there. And then I

0:39:05.640 --> 0:39:08.759
<v Speaker 3>would say that two others are optimization, and then there's

0:39:08.840 --> 0:39:12.359
<v Speaker 3>quantum versions of machine learning that are very exciting as well.

0:39:13.040 --> 0:39:16.120
<v Speaker 2>Cleveland Clinic one of the organizations that you guys have

0:39:16.200 --> 0:39:18.960
<v Speaker 2>worked with. Why would the Cleveland Clinic be calling you up?

0:39:19.320 --> 0:39:22.200
<v Speaker 3>Because that problem that they want to look at. So

0:39:23.080 --> 0:39:26.360
<v Speaker 3>they've also done similar problem to the recent lab. So

0:39:26.400 --> 0:39:29.640
<v Speaker 3>they've taken that method now and they've looked at molecules

0:39:29.640 --> 0:39:34.160
<v Speaker 3>that matter for drug design. So they're fundamentally looking at

0:39:34.200 --> 0:39:39.040
<v Speaker 3>those molecules that matter for eventually replacing some of the steps.

0:39:39.360 --> 0:39:43.080
<v Speaker 3>So they're investing to see how reliable it can be done.

0:39:43.120 --> 0:39:45.840
<v Speaker 3>And so there's a scientist there that's done many iterations

0:39:45.880 --> 0:39:49.000
<v Speaker 3>now using the techniques that were done first with the

0:39:49.040 --> 0:39:53.000
<v Speaker 3>team in Japan. They've now replicated that for new molecules

0:39:53.480 --> 0:39:58.040
<v Speaker 3>that are essential primitives for eventually designing drugs and things

0:39:58.080 --> 0:39:59.720
<v Speaker 3>that may matter for medical.

0:40:00.239 --> 0:40:05.319
<v Speaker 2>And also there's some finance firms yep, HBC, Vango, yep,

0:40:05.800 --> 0:40:06.920
<v Speaker 2>and their interest is.

0:40:06.880 --> 0:40:10.640
<v Speaker 3>What so that was the differential equation and optimization. So

0:40:11.160 --> 0:40:15.360
<v Speaker 3>if you are doing very large calculations like risk portfolio,

0:40:15.960 --> 0:40:18.400
<v Speaker 3>or if you want to model the Black Shaws equation

0:40:18.560 --> 0:40:20.719
<v Speaker 3>or things like this that are fundamental for them to

0:40:20.960 --> 0:40:23.960
<v Speaker 3>make better predictions, come up with better trades and things

0:40:24.040 --> 0:40:28.359
<v Speaker 3>like this. That is a very hard computational task. And

0:40:28.440 --> 0:40:32.160
<v Speaker 3>so rather than quantum replacing that whole problem, can quantum

0:40:32.239 --> 0:40:36.160
<v Speaker 3>be a subroutine in there? And what HSBC showed is

0:40:36.200 --> 0:40:38.680
<v Speaker 3>they showed they could take their real data, they could

0:40:38.680 --> 0:40:42.200
<v Speaker 3>take their real classical method and they just replaced a

0:40:42.280 --> 0:40:45.120
<v Speaker 3>tiny part of it. They replaced a tiny part of

0:40:45.160 --> 0:40:48.319
<v Speaker 3>it with a quantum subroutine that allowed them to come

0:40:48.360 --> 0:40:51.719
<v Speaker 3>up with better predictions of the weights that then when

0:40:51.760 --> 0:40:54.800
<v Speaker 3>they were to compare TRIALA versus Trial B, it was

0:40:54.880 --> 0:40:59.160
<v Speaker 3>thirty four percent better at predicting algorithmic tron And that's

0:40:59.160 --> 0:41:00.000
<v Speaker 3>a big deal for them.

0:41:00.520 --> 0:41:01.120
<v Speaker 2>It's huge.

0:41:01.239 --> 0:41:04.480
<v Speaker 3>Yes, Now, do they need to do more trials? Do

0:41:04.560 --> 0:41:07.120
<v Speaker 3>they need to see is this a heuristic algorithm? Do

0:41:07.200 --> 0:41:10.200
<v Speaker 3>we need to be careful? Is there other classical algorithms

0:41:10.239 --> 0:41:12.480
<v Speaker 3>that go into these are great questions that are now

0:41:13.000 --> 0:41:17.319
<v Speaker 3>being investigated. So think of this period of heuristic algorithms

0:41:17.880 --> 0:41:21.600
<v Speaker 3>is really a period of scientific discovery using these machines,

0:41:22.600 --> 0:41:25.520
<v Speaker 3>knowing that we want to continue and build the ones

0:41:25.600 --> 0:41:29.120
<v Speaker 3>which have determinist their algorithms that can run.

0:41:29.960 --> 0:41:33.239
<v Speaker 2>Do the people who would profit the most by starting

0:41:33.280 --> 0:41:38.600
<v Speaker 2>to run quantum experiments realize that they would profit so

0:41:38.680 --> 0:41:42.040
<v Speaker 2>much from running quantum experience And does the world know this.

0:41:42.680 --> 0:41:46.480
<v Speaker 2>You've given us a couple of specific examples, but generally speaking,

0:41:46.520 --> 0:41:48.640
<v Speaker 2>there must be a very large universe of people who

0:41:48.680 --> 0:41:51.720
<v Speaker 2>could gain from at least starting to play in the space.

0:41:52.320 --> 0:41:56.759
<v Speaker 3>So the enterprises that use computation as key for their

0:41:56.800 --> 0:42:01.279
<v Speaker 3>survival understand the limits of classical computation and they're very

0:42:01.320 --> 0:42:06.160
<v Speaker 3>interested to get started. The universities are very interested. Could

0:42:06.239 --> 0:42:09.840
<v Speaker 3>we get more students doing more algorithms? One hundred percent?

0:42:10.800 --> 0:42:14.000
<v Speaker 3>Some of the limitations on the rate of algorithm discovery

0:42:14.040 --> 0:42:17.080
<v Speaker 3>is because people are thinking through the classical way of

0:42:17.120 --> 0:42:20.200
<v Speaker 3>writing algorithms. My belief is yes, So this is why

0:42:20.280 --> 0:42:22.439
<v Speaker 3>we want to get more and more students and things,

0:42:22.440 --> 0:42:25.480
<v Speaker 3>because it's just starting. But I would say in general,

0:42:25.560 --> 0:42:28.879
<v Speaker 3>most people are aware of it. Could we get more,

0:42:29.000 --> 0:42:30.200
<v Speaker 3>could we accelerate it?

0:42:30.440 --> 0:42:30.760
<v Speaker 2>Yes?

0:42:30.880 --> 0:42:32.960
<v Speaker 3>Do we need to make better hardware, do we need

0:42:33.040 --> 0:42:35.560
<v Speaker 3>to come up with better libraries, yes? Do we need

0:42:35.600 --> 0:42:39.040
<v Speaker 3>better software yes, But it's all happening over the next

0:42:39.040 --> 0:42:39.680
<v Speaker 3>few years.

0:42:40.040 --> 0:42:42.239
<v Speaker 2>Is it hard to get someone who's spent their entire

0:42:42.280 --> 0:42:45.520
<v Speaker 2>life thinking in terms of solving problems to classical means

0:42:45.719 --> 0:42:48.040
<v Speaker 2>to make the transition to this new paradigm.

0:42:48.320 --> 0:42:51.160
<v Speaker 3>There's a lot of examples when you approach something with

0:42:51.239 --> 0:42:54.640
<v Speaker 3>the classical intuition, it's not the right way to do

0:42:54.680 --> 0:42:57.879
<v Speaker 3>it when you approach it through the quantum. But if

0:42:57.880 --> 0:43:02.160
<v Speaker 3>people are being taught to understand the fundamentals of the math,

0:43:02.680 --> 0:43:06.279
<v Speaker 3>then a lot of the techniques carry across. I don't

0:43:06.320 --> 0:43:10.200
<v Speaker 3>recommend people need to learn about entanglement or supersition because

0:43:11.000 --> 0:43:15.240
<v Speaker 3>whilst the physicists will argue like spooky action a distance

0:43:15.280 --> 0:43:18.439
<v Speaker 3>and all these type of things, entanglement is the power. Yes,

0:43:18.560 --> 0:43:21.759
<v Speaker 3>that's how physicists are labeled. How quantum is different. But

0:43:21.880 --> 0:43:25.160
<v Speaker 3>I would say, do we need some physicists really worrying

0:43:25.400 --> 0:43:26.040
<v Speaker 3>thinking about that?

0:43:26.200 --> 0:43:26.520
<v Speaker 1>Yes?

0:43:26.600 --> 0:43:30.239
<v Speaker 3>But We need more applied mathematicians that are realizing they

0:43:30.239 --> 0:43:32.640
<v Speaker 3>can use this as a as a different way of

0:43:32.680 --> 0:43:33.640
<v Speaker 3>looking at the problems.

0:43:33.800 --> 0:43:36.560
<v Speaker 2>Yeah, I when I asked you one question, No, we're

0:43:36.560 --> 0:43:39.920
<v Speaker 2>describing a a It's more than a new technology. We're

0:43:39.960 --> 0:43:43.120
<v Speaker 2>talking about a new paradigm. It's a way of thinking

0:43:43.160 --> 0:43:47.400
<v Speaker 2>about problems. Can you compare this to kind of previous

0:43:47.840 --> 0:43:51.879
<v Speaker 2>technological paradigms. If I'm thinking at the last couple hundred years,

0:43:51.880 --> 0:43:55.480
<v Speaker 2>what does this rank in terms of a new field

0:43:55.560 --> 0:43:56.440
<v Speaker 2>that we've opened up.

0:43:57.040 --> 0:43:59.160
<v Speaker 3>It's a hard question to answer, but I often say

0:43:59.320 --> 0:44:02.560
<v Speaker 3>the history of computing, this will be the first time

0:44:03.200 --> 0:44:07.840
<v Speaker 3>that computation has branched between classical and quantum. I like

0:44:08.200 --> 0:44:11.759
<v Speaker 3>thinking reading a lot in the past. One of the

0:44:11.760 --> 0:44:15.239
<v Speaker 3>things that I think was a way we changed as

0:44:15.239 --> 0:44:19.520
<v Speaker 3>a society was the invention of zero. Before zero, math

0:44:19.760 --> 0:44:24.320
<v Speaker 3>was limited. Realizing that numbers have a number as zero

0:44:24.840 --> 0:44:27.680
<v Speaker 3>allowed us to develop a whole set of new mathematics

0:44:28.120 --> 0:44:32.280
<v Speaker 3>that then went on and defined like everything from waves

0:44:32.320 --> 0:44:36.120
<v Speaker 3>to calculus to all of that. Yes, we can describe

0:44:36.160 --> 0:44:38.560
<v Speaker 3>it with that same math, but when we describe it

0:44:38.600 --> 0:44:41.839
<v Speaker 3>with that math, it gets exponentially big and gets impractical

0:44:41.880 --> 0:44:44.920
<v Speaker 3>to do. Now we can actually work on it. I

0:44:44.920 --> 0:44:47.480
<v Speaker 3>would say, if I had to give you a quick answer,

0:44:47.600 --> 0:44:50.440
<v Speaker 3>maybe going all the way back to when we were

0:44:51.120 --> 0:44:51.960
<v Speaker 3>accepted zero.

0:44:52.280 --> 0:44:53.840
<v Speaker 2>I thought you were going to say, like the airplane,

0:44:53.960 --> 0:44:56.840
<v Speaker 2>but in fact, yeah, you went several orders of magnitude

0:44:56.880 --> 0:44:57.239
<v Speaker 2>beyond that.

0:44:57.520 --> 0:45:00.839
<v Speaker 3>Yes, but I think it's so fundamental.

0:45:01.080 --> 0:45:04.480
<v Speaker 2>This is absolutely fascinating. Thank you so much for chatting

0:45:04.560 --> 0:45:05.040
<v Speaker 2>with me about it.

0:45:05.120 --> 0:45:05.799
<v Speaker 3>Thank you. Fret time.

0:45:08.239 --> 0:45:11.400
<v Speaker 2>Hey listeners. So normally we end this episode here, but

0:45:11.480 --> 0:45:14.759
<v Speaker 2>the Tech Week attendees asked Jay some really great questions,

0:45:15.200 --> 0:45:18.000
<v Speaker 2>questions I wish I'd asked, so we wanted to include

0:45:18.000 --> 0:45:19.640
<v Speaker 2>those here. Enjoy.

0:45:21.440 --> 0:45:23.719
<v Speaker 5>Hi, J, thank you so much for the great presentation.

0:45:24.200 --> 0:45:27.800
<v Speaker 5>My name is Trixie Apiado. I work for Willis Towers Watson,

0:45:27.840 --> 0:45:31.799
<v Speaker 5>an insurance broker. I help seisos identify and quantify their

0:45:31.840 --> 0:45:35.840
<v Speaker 5>cyber risk so they can prepare for threats before they happen.

0:45:36.280 --> 0:45:38.960
<v Speaker 5>And so quantum threats keep me up at night. You

0:45:39.080 --> 0:45:43.080
<v Speaker 5>mentioned so many good problems that quantum can solve. It

0:45:43.120 --> 0:45:47.799
<v Speaker 5>can also break encryptions in our classical computer systems. So

0:45:48.920 --> 0:45:53.040
<v Speaker 5>what safeguards or policies do you implement in your teams

0:45:53.400 --> 0:45:57.880
<v Speaker 5>to build quantum capabilities responsibly and what can we do

0:45:58.640 --> 0:46:02.040
<v Speaker 5>for people in this room, US builders and users to

0:46:02.120 --> 0:46:06.560
<v Speaker 5>secure our data in systems before quantum computers become more

0:46:06.640 --> 0:46:08.920
<v Speaker 5>energy efficient, cheaper, and more available.

0:46:09.800 --> 0:46:13.080
<v Speaker 3>So it's a great question. So yes, one of the

0:46:13.120 --> 0:46:17.480
<v Speaker 3>algorithms for quantum computing is to break our traditional encryption.

0:46:18.200 --> 0:46:22.080
<v Speaker 3>So at IBM Research we were aware of this from

0:46:22.160 --> 0:46:26.600
<v Speaker 3>day one. We've come up with algorithms that we believe

0:46:26.800 --> 0:46:29.719
<v Speaker 3>and have very strong evidence will not be broken by

0:46:29.760 --> 0:46:33.680
<v Speaker 3>a quantum or classical computer, and has selected them. So

0:46:34.760 --> 0:46:39.120
<v Speaker 3>first the scientific technical question, security is saved. There are

0:46:39.200 --> 0:46:44.040
<v Speaker 3>algorithms that exist that we can implement that neither a

0:46:44.160 --> 0:46:48.280
<v Speaker 3>quantum or classical computer can break. So the technical answer

0:46:48.400 --> 0:46:52.400
<v Speaker 3>is we're all okay. The more complicated answer is a

0:46:52.440 --> 0:46:57.480
<v Speaker 3>social and society answer. Encryption was built in classical computing

0:46:57.600 --> 0:47:01.320
<v Speaker 3>in a way that was never thought of being grade it.

0:47:01.320 --> 0:47:05.360
<v Speaker 3>It's mixed everywhere. Some of it is downstream, some of

0:47:05.400 --> 0:47:08.000
<v Speaker 3>it is like software that you may use, Some of

0:47:08.080 --> 0:47:12.279
<v Speaker 3>it is software that you've developed. And I get that

0:47:12.400 --> 0:47:14.279
<v Speaker 3>if you've got a product and you want to have

0:47:14.360 --> 0:47:17.319
<v Speaker 3>it secure for the next ten years, you probably want

0:47:17.320 --> 0:47:19.839
<v Speaker 3>to think about how you're going to upgrade it, or

0:47:19.960 --> 0:47:23.160
<v Speaker 3>if you have data that needs to be secure for

0:47:23.360 --> 0:47:26.640
<v Speaker 3>the next ten years, it needs to upgrade to new encryption.

0:47:27.280 --> 0:47:30.320
<v Speaker 3>So the real challenge is more of a social business

0:47:30.360 --> 0:47:34.840
<v Speaker 3>problem of how do we actually transition from old encryption

0:47:34.960 --> 0:47:38.080
<v Speaker 3>to new encryption knowing this is going to happen. So

0:47:38.200 --> 0:47:40.719
<v Speaker 3>we at IBM have been very proactive on this. We've

0:47:40.760 --> 0:47:44.160
<v Speaker 3>developed tools where we can determine where encryption is used,

0:47:44.560 --> 0:47:48.560
<v Speaker 3>We've developed tools which can show you how to replace it,

0:47:48.719 --> 0:47:52.960
<v Speaker 3>and we early on have made sure the Mainframe when

0:47:53.000 --> 0:47:55.560
<v Speaker 3>we made these algorithms. So I think it was Z

0:47:55.719 --> 0:47:58.560
<v Speaker 3>sixteen that was the first version of the Mainframe to

0:47:58.760 --> 0:48:03.759
<v Speaker 3>have these quantum safe algorithms implemented. So my answer to

0:48:03.800 --> 0:48:07.480
<v Speaker 3>your question is, yes, there's a real problem, but it's

0:48:07.520 --> 0:48:10.520
<v Speaker 3>not a technical problem. It's a social and business problem.

0:48:10.520 --> 0:48:14.000
<v Speaker 3>And I'm not minimizing that. I understand that that is

0:48:14.040 --> 0:48:17.000
<v Speaker 3>a lot of work you need to start now. You

0:48:17.080 --> 0:48:19.160
<v Speaker 3>need to come up and do a you need to

0:48:19.200 --> 0:48:22.239
<v Speaker 3>make it part of your IT transformation. You need to

0:48:22.680 --> 0:48:27.200
<v Speaker 3>get onto it. And I realize, I realize it's not

0:48:27.239 --> 0:48:29.960
<v Speaker 3>going to take zero time because it's not an easy

0:48:30.000 --> 0:48:33.279
<v Speaker 3>problem to do. So the short answer is one we

0:48:33.360 --> 0:48:36.440
<v Speaker 3>developed algorithms that we can't, and we're developing tools to

0:48:36.440 --> 0:48:37.600
<v Speaker 3>help you in that transformation.

0:48:38.080 --> 0:48:38.839
<v Speaker 5>Thank you so much.

0:48:40.040 --> 0:48:41.520
<v Speaker 2>Thank you. My name is Emma.

0:48:41.640 --> 0:48:45.239
<v Speaker 6>I'm a product manager at Expedia, working on software side

0:48:45.239 --> 0:48:48.440
<v Speaker 6>of things. My question is around the non technical roles

0:48:48.560 --> 0:48:52.359
<v Speaker 6>outside of the researchers, the mathematicians, the builders. How can

0:48:52.400 --> 0:48:55.680
<v Speaker 6>the rest of us, whether it be policymakers, those in

0:48:55.680 --> 0:48:59.040
<v Speaker 6>the legal fields, those thinking about what use cases quantum

0:48:59.120 --> 0:49:01.440
<v Speaker 6>can solve for in a few what should we be

0:49:01.480 --> 0:49:03.839
<v Speaker 6>thinking about and how can we prepare for that.

0:49:04.160 --> 0:49:06.279
<v Speaker 3>It's a good question. I think this is part of

0:49:06.360 --> 0:49:10.239
<v Speaker 3>the requirement of the scientists to being able to articulate

0:49:10.920 --> 0:49:13.520
<v Speaker 3>where they are. We need a forum for those type

0:49:13.560 --> 0:49:16.600
<v Speaker 3>of discussions. I think a lot of this can fit

0:49:16.719 --> 0:49:19.959
<v Speaker 3>within the forums that we already have for classical and AI,

0:49:20.640 --> 0:49:22.600
<v Speaker 3>and I think we need to just be asking how

0:49:22.640 --> 0:49:25.720
<v Speaker 3>do we actually bring them into them Because I don't

0:49:25.920 --> 0:49:29.120
<v Speaker 3>think of quantum as a replacement of compute. I think

0:49:29.120 --> 0:49:32.120
<v Speaker 3>of it as an accelerator that expands what is possible,

0:49:32.800 --> 0:49:35.560
<v Speaker 3>and I think we can ask those questions in those forums.

0:49:35.960 --> 0:49:38.440
<v Speaker 3>Are we doing enough now? I think I agree with you. No,

0:49:38.719 --> 0:49:40.000
<v Speaker 3>I don't know the answer to it.

0:49:40.880 --> 0:49:44.160
<v Speaker 6>I think it's a really interesting perspective because those existing

0:49:44.239 --> 0:49:47.640
<v Speaker 6>forums do start to bring in those other fields as well,

0:49:47.920 --> 0:49:50.320
<v Speaker 6>so it could warrant the same sort of discussion.

0:49:50.480 --> 0:49:54.720
<v Speaker 3>And yeah, acts, and I understand those forums. Right now,

0:49:56.239 --> 0:49:59.799
<v Speaker 3>AI is probably dominating and it should be like we

0:50:00.120 --> 0:50:04.400
<v Speaker 3>going through a period of time where AI is impacting society.

0:50:04.960 --> 0:50:08.120
<v Speaker 3>The technology is impacting society in big ways. So I

0:50:08.200 --> 0:50:11.800
<v Speaker 3>totally understand that most of their focus should be on AI,

0:50:12.040 --> 0:50:14.640
<v Speaker 3>but we should start to ask where is quantum in

0:50:15.080 --> 0:50:15.759
<v Speaker 3>that as well?

0:50:16.840 --> 0:50:20.560
<v Speaker 4>Hi, I'm Gobi and I'm a graduating PhD student at

0:50:20.640 --> 0:50:24.600
<v Speaker 4>Northwestern and also a member of south Park Commons, which

0:50:24.640 --> 0:50:28.200
<v Speaker 4>is a fund here. You mentioned earlier that some problems

0:50:28.239 --> 0:50:31.200
<v Speaker 4>are best solved by classical versus some problems are best

0:50:31.239 --> 0:50:33.759
<v Speaker 4>solved by quantum. When we're thinking about this, if we're

0:50:33.800 --> 0:50:36.200
<v Speaker 4>not experts in quantum, but we're thinking about this from

0:50:36.200 --> 0:50:38.719
<v Speaker 4>an AI perspective, could you just clarify when we think

0:50:38.719 --> 0:50:43.080
<v Speaker 4>about quantum, what is deterministic and what is not deterministic.

0:50:43.600 --> 0:50:46.120
<v Speaker 3>I think the future of computing we've got to get

0:50:46.120 --> 0:50:49.480
<v Speaker 3>our heads around is that not everything is deterministic, and

0:50:49.520 --> 0:50:52.080
<v Speaker 3>it's much more going to be probilistic. How do you

0:50:52.200 --> 0:50:55.439
<v Speaker 3>handle error bars? How do you put confidence? I think

0:50:55.480 --> 0:50:58.720
<v Speaker 3>a lot of those questions which you're referring to INAI

0:50:58.760 --> 0:51:02.439
<v Speaker 3>are going to completely imply and quantum. I actually think

0:51:02.480 --> 0:51:08.240
<v Speaker 3>it's a mistake to compare AI verse quantum. I actually

0:51:08.280 --> 0:51:12.440
<v Speaker 3>think of quantum as much. It's quantum verse classical compute,

0:51:12.480 --> 0:51:15.480
<v Speaker 3>and AI is going to come across on top. So

0:51:15.800 --> 0:51:18.480
<v Speaker 3>as we go forward and we get a better understanding thing,

0:51:18.680 --> 0:51:22.160
<v Speaker 3>I'm not going to say quantum is going to replace

0:51:22.200 --> 0:51:25.200
<v Speaker 3>the classical compute that enables AI, but I think some

0:51:25.280 --> 0:51:27.520
<v Speaker 3>of the math you do in AI will be able

0:51:27.520 --> 0:51:30.279
<v Speaker 3>to go to both. So what can we formally prove?

0:51:31.080 --> 0:51:34.000
<v Speaker 3>I can come up with a problem where I take

0:51:34.040 --> 0:51:36.440
<v Speaker 3>a circle and a color, half of it red and

0:51:36.520 --> 0:51:39.359
<v Speaker 3>half oft of blue, and then I say, I'm going

0:51:39.400 --> 0:51:43.359
<v Speaker 3>to apply an operation that takes those dots make it. Say,

0:51:43.440 --> 0:51:45.799
<v Speaker 3>let's say ten dots over here red, ten dots over

0:51:45.840 --> 0:51:48.560
<v Speaker 3>here blue, and I'm going to wind them around many,

0:51:48.560 --> 0:51:51.680
<v Speaker 3>many times. I can then show you that if you

0:51:51.760 --> 0:51:54.680
<v Speaker 3>feed that into a classical computer it's a classical random

0:51:54.760 --> 0:51:58.359
<v Speaker 3>number generator. You can give yourself as much data as

0:51:58.400 --> 0:52:00.920
<v Speaker 3>you want. You will never be able to say did

0:52:00.960 --> 0:52:03.879
<v Speaker 3>the red come from the left side or the right side.

0:52:03.920 --> 0:52:07.319
<v Speaker 3>You would take infinite data. It is like you would

0:52:07.360 --> 0:52:10.640
<v Speaker 3>have to break a classical random number generator. I can

0:52:10.680 --> 0:52:13.920
<v Speaker 3>show you a quantum algorithm that can do that deterministically.

0:52:15.000 --> 0:52:17.920
<v Speaker 3>So where we're thinking is when the data appears to

0:52:17.960 --> 0:52:23.080
<v Speaker 3>be completely unstructured or you looks essentially like a complete

0:52:23.160 --> 0:52:27.480
<v Speaker 3>random number to the classical methods, there are quantum methods

0:52:27.520 --> 0:52:30.239
<v Speaker 3>that can actually potentially find that structure.

0:52:34.719 --> 0:52:37.160
<v Speaker 2>That's it for this episode of Smart Talks with IBM.

0:52:37.640 --> 0:52:39.840
<v Speaker 2>If you haven't already, be sure to check out my

0:52:39.920 --> 0:52:45.320
<v Speaker 2>conversation with IBM Chairman and CEO Arvind Krishna, and stay tuned.

0:52:45.719 --> 0:52:50.719
<v Speaker 2>Another episode is coming soon. Smart Talks with IBM is

0:52:50.760 --> 0:52:54.880
<v Speaker 2>produced by Matt Romano, Amy Gains, McQuaid, Trina Menino, and

0:52:55.000 --> 0:52:59.680
<v Speaker 2>Jake Harper. Engineering by Nina Bird Lawrence, Mastering by Sarah Buguer,

0:53:00.120 --> 0:53:05.160
<v Speaker 2>music by Gramoscope, Strategy by Tatiana Lieberman, Cassidy Meyer and

0:53:05.280 --> 0:53:09.440
<v Speaker 2>Sofia Derlon. Smart Talks with IBM is a production of

0:53:09.560 --> 0:53:14.759
<v Speaker 2>Pushkin Industries and Ruby Studio at iHeartMedia. To find more

0:53:14.800 --> 0:53:19.520
<v Speaker 2>Pushkin podcasts, listen on the iHeartRadio app, Apple Podcasts, or

0:53:19.560 --> 0:53:24.040
<v Speaker 2>wherever you listen to podcasts. I'm Malcolm Godwell. This is

0:53:24.080 --> 0:53:28.560
<v Speaker 2>a paid advertisement from IBM. The conversations on this podcast

0:53:28.840 --> 0:53:38.600
<v Speaker 2>don't necessarily represent IBM's positions, strategies, or opinions.