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  • Thank you. I don't know about you.

  • I was blown away for most of the day

  • by the power and the ubiquity of computers.

  • Not only the fantastic graphics that we've seen,

  • but to even recognize that musicians these days

  • have a stage filled with computers as part

  • of their performance was to me very surprising.

  • I want to reduce the essence of computers

  • down to their smallest working part.

  • For the purpose of talking about a resource.

  • A resource that may be useful for increasing the speed of computers.

  • And one which interestingly is not used today.

  • It's a resource that lives inside of atoms

  • and it's one that we hope to develop as time goes on.

  • This picture is the working part of every computer.

  • It's the transistor. It's made out of a semiconductor.

  • Semiconductor is something that's either a conductor or an insulator

  • depending on whether a voltage is applied to it.

  • The fact that you can control electricity with electricity

  • means that you can make a machine that can compute.

  • As we've heard today these are getting smaller and smaller.

  • And in fact are approaching the atomic scale.

  • Only a few hundred or thousand atoms across.

  • Constitutes the wires that are inside

  • of these computer that are around us.

  • This little device invented in 1947 is now everywhere.

  • Right now we manufacture

  • about 10 billion transistors every second.

  • Most of you probably have 100 million or so

  • transistors in your pocket right now.

  • We live in a world filled with these little objects.

  • But I would like to contrast the way these objects work with

  • the world of atoms that Don was just talking about

  • in the previous talk.

  • Let's think of these transistors as little switches.

  • As I said, they can be turned on and off with electricity.

  • But for all intents and purposes they're on-off switches.

  • We can call them 0s and 1s if we like this binary notation.

  • Or if we're interested in eventually

  • moving to spins, which we'll do in this talk,

  • we can think of them as spinning this way,

  • or spinning the other way, up or down.

  • But in any case they represent some binary structure.

  • The resource that I'd like to talk about,

  • the one that's not used in computation

  • but which lives inside of every atom

  • and makes the world around us work is Quantum Mechanics.

  • Quantum Mechanics says that switch can be

  • up and down at the same time.

  • Just like the particle that can go through 2 slits

  • or any other quantum state

  • a transistor can be on and off

  • according to the laws of Quantum Mechanics.

  • What that means is that you can imagine a machine

  • that's consistent with all the laws of physics

  • in which every one of those

  • 10 million, 100 million transistors

  • in your pocket was simultaneously on and off.

  • And not just those two states, but in fact

  • every one of the exponentially many states

  • that can be formed by imagining

  • every one being on or off

  • and every one that's on can then turn another one on or off

  • but of course it is either on or off

  • and it then does or doesn't turn the next on or off, etc.

  • That power lives inside

  • of the world that we understand of atoms.

  • But we don't use it.

  • And it's a strange world.

  • In moving from the world of atoms

  • to the world of macroscopic objects

  • we have to forgo our intuition

  • and I'll give you an example of that.

  • Take a Helium atom

  • the same atom that's in Helium balloons.

  • The two electrons that form the shell

  • of the Helium atom have a particular orientation

  • with respect to this spin that I talked about.

  • The angular momentum spinning up or spinning the other way.

  • And that is that they're in some configuration

  • of these two spins. Now what Quantum Mechanics

  • allows and I should mention this quote of

  • "Spooky Action at a Distance"

  • is something from Einstein

  • who never quite bought this story of Quantum Mechanics

  • and you'll see why in a second.

  • Let's take the two electrons in the Helium atom

  • and for the language of the day,

  • I'll call them Up and Down

  • I won't say which one's is Up and which one's Down.

  • One of them's Up and the other one's the opposite direction

  • so they can fill in the first shell.

  • And I want to take those two electrons

  • and without disturbing them separate them in space.

  • And I want to give one over here,

  • the first seat here, do you mind if I toss you one

  • of these electrons you have to grab it.

  • OK, here you go. You got it? Got it. OK

  • And I need another one over here.

  • Michael can you help me out here?

  • There's the second electron.

  • Now, what I would like you to do -

  • we didn't disturb the electrons

  • we distributed them very gently -

  • is to measure yours. Is it Up or Down?

  • (Inaudible) Charlie: It's Up.

  • Charlie: Michael? Michael: It's Down.

  • Charlie: Down. (Laughter)

  • Well that was interesting. OK.

  • That's right, because we didn't disturb them.

  • Let's do it one more time, just for fun.

  • Here you go. Got it?

  • Michael? Good!

  • Wait, I have an idea. Turn your detector sideways.

  • Now is it East or West? (Inaudible)

  • Michael did you hear what he said?

  • You're not listening, right?

  • East!

  • Michael, yours is? West!

  • How did you know what his was?

  • That's a resource.

  • Thats's what Quantum Mechanics provides.

  • Quantum Mechanics says that that singlet,

  • the two electrons in the Helium atom,

  • if you could control them and even separate them,

  • even separate them to the outer reaches of the Galaxy,

  • If you make a measurement,

  • yours becomes the opposite.

  • And that's a powerful kind of communication.

  • Not quite enough to violate Special Relativity.

  • Because immediately as soon as he measured his,

  • yours became something.

  • And we don't use that

  • in any machines that we build these days.

  • And yet there's little doubt that it's true.

  • But imagine building some complicated machine.

  • A bit like a cat or something.

  • And saying that all of these things were together.

  • Now Schrödinger commented on the possibility

  • of putting a cat like this together

  • and said we can even think of some ridiculous cases.

  • I'm not going to read the quote but you understand that

  • the quantum state is going to either knock the cyanide bottle over

  • and it's going to either kill the cat.

  • And the whole cat is going to be either alive or dead simultaneously.

  • And Schrödinger illustrated this point

  • to represent how impossible such a system was.

  • But in fact Schrödinger set us up on that one.

  • Because Schrödinger created

  • a situation in which if you created the conditions to preserve

  • the simultaneous superposition of all of these states

  • it would have certainly killed the cat.

  • There wouldn't be any air in the room. It would be very low temperature.

  • But computer chips are very happy to work under those conditions.

  • And so there is no rule that says that

  • we couldn't make a catlike chip that would

  • be very happy to work at Absolute zero or near, in vacuum, etc.

  • And what if we could?

  • There are examples of problems,

  • Scott Aaronson told you a little bit about them earlier today.

  • I don't know if Rives was paying attention during that talk

  • but I want some help from Rives

  • on the first question on this test.

  • Two prime numbers, smallish, smallish prime numbers,

  • whose product is 15. Can you help me out?

  • Rives: It depends on what you mean by prime. (Laughter)

  • What's your definition of prime?

  • Charlie: I will exclude 1 for the sake of brevity.

  • R: Yeah, you wouldn't be the first person today.

  • I'll go with 3, 5 my final answer.

  • C: Fantastic. You did graduate High School.

  • (Laughter)

  • I think I'm going to need Carl Feynman for this one.

  • This one's a little bit harder.

  • Carl I don't know if you're here? Yeah!

  • (Inaudible)

  • It's unfair, It's unfair. It's a hard question.

  • The answer is 41 x 113.

  • And what's interesting about the example

  • is not only is it a hard question for Carl Feynman

  • it's a hard question even for computers.

  • That is if you take two numbers

  • that are pretty big and multiply them together

  • that goes like a snap.

  • But if you take the thing that you got when you

  • multiplied them together

  • and try to break them apart

  • you're in real trouble.

  • In fact what I mean by that

  • is that if the numbers are a thousand bits long

  • it would take the age of the universe for even the best computer

  • to solve the problem.

  • Now if you could build one of these machines

  • that took advantage of the superposition

  • that let all the transistors

  • in the circuit be in multiple states at the same time

  • it becomes a very easy problem.

  • Our job, and by our I mean, in my laboratory

  • and the laboratory of several colleagues and friends who are here,

  • we're trying to build these chips

  • and we're building them out of semiconductors

  • only in this case we're using the spin,

  • we're doing the same kind of transformations

  • where we separate the electrons to produce

  • the same kind of entangled states.

  • And how far are we?

  • We have about one working.

  • So maybe it's about the equivalent of 1947

  • when this was invented, the transistor.

  • And we can see as we go along using

  • either carbon nanotubes or gallium arsenide, or Silicon

  • the kinds of machines that we had to build

  • and we're at the level now of 1 or 2

  • or on a good day 3 transistors

  • And we're waiting for the day that we have...

  • not a hundred billion, but the 300 that we heard about earlier,

  • that would produce an exponential number

  • of quantum states and allow computation.

  • We're not there yet. We're still building these chips.

  • Here's a carbon nanotube with gates on it that produces

  • one such spin based quantum chip

  • and for the next one, and the next one

  • and the next 50 and the next 500 after that

  • we're going to have to wait a few more TED meetings.

  • Thank you. (Applause)

Thank you. I don't know about you.

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B1 中級

【TEDx】TEDxCaltech - Charlie Marcus - 納米電子學和量子計算 (【TEDx】TEDxCaltech - Charlie Marcus - Nanoelectronics and Quantum Computation)

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    阿多賓 發佈於 2021 年 01 月 14 日
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