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  • Thanks to Brilliant for supporting this episode of SciShow.

  • Go to Brilliant.org/SciShow to learn more.

  • [♪ INTRO]

  • In 2019, Google researchers announced that they had

  • achieved quantum supremacy.

  • That does not mean that they're ushering in a new sci-fi future.

  • As far as we know.

  • It sounds very grandiose.

  • Instead, it describes what might be the first

  • useful quantum computer, an entirely new way

  • of performing calculations that's better than anything

  • we've got right now.

  • But not everyone thinks that Google actually got there,

  • or that quantum supremacy is even a

  • thing worth worrying about.

  • To understand what this means, we've got to go

  • way back to the basics of how computers work.

  • If you've been told one thing about a computer,

  • it's that, deep down, everything is just ones and zeros.

  • And, amazingly, this very simple fact is more or less true.

  • The principle behind your everyday modern computer

  • dates back to a landmark paper published

  • by British computer scientist Alan Turing in 1936.

  • He described a theoretical device we now call

  • the Turing machine, capable of solving any problem

  • with just three simple actions.

  • The machine could read a zero or one from a bit of memory,

  • like a strip of paper.

  • It could also write a zero or one to that bit of memory,

  • or it could move to an adjacent bit.

  • Mathematicians have proven that by combining

  • those three actions with a set of rules about when to use each one,

  • the Turing machine is capable of solving any mathematical problem.

  • It was theoretical at the time, but now every modern computer

  • is basically just an extremely complicated, very small,

  • really wonderful Turing machine.

  • These devices now are starting to be called classical computers.

  • Quantum computers, on the other hand, wait for this,

  • have bits called qubits that can represent a zero, a one,

  • or any combination of the two.

  • To understand what that means, we gotta use quantum physics'

  • most famous -- or infamous -- problem.

  • Yes, the cat one.

  • This thought experiment, first proposed

  • by Austrian physicist Erwin Schrödinger,

  • imagined a cat locked in a box with a poison device.

  • At a random time, the device would activate and kill the cat.

  • Until you open the box, you can't know whether

  • the dirty deed has actually happened, so, in a sense,

  • the cat is both alive and dead while hidden from view.

  • We've simplified this.

  • Now, Schrödinger's whole point with this is that

  • the world we're familiar with -- the classical world --

  • doesn't work like this.

  • But the quantum world does.

  • The cat is both alive and dead,

  • but only with quantum particles.

  • Now let's get back to qubits.

  • When you read the value of a qubit, you only ever get a zero or a one,

  • just like the cat can only ever be alive or dead in the end.

  • But which you get is all up to chance.

  • Every qubit has a probability of being a zero

  • and a probability of being a one,

  • a combination called a superposition.

  • But what the chances of each are is based on

  • how the qubit is set up.

  • What's more, the values of different qubits

  • can be linked together in a process called quantum entanglement.

  • That means that if you measure the state of

  • one entangled qubit, you also get information

  • about its buddies.

  • This adds up to, well, math.

  • By entangling qubits in certain combinations,

  • engineers can solve some of the same kinds of problems

  • that they can with classical computers.

  • It's the combination of superposition and entanglement

  • that gives quantum computers their theoretical power.

  • Basically, they should be able to do the same things,

  • but way faster.

  • In principle, a quantum computer can perform

  • a calculation very quickly by representing all possible outcomes

  • at once and then finding the correct one.

  • Which brings us back to quantum supremacy.

  • It's the idea that this approach can solve some kinds

  • of problems that classical computers can't --

  • in a practical amount of time, that is.

  • But unlike the physics that actually makes quantum computers work,

  • the idea of supremacy, of being better than classical computers,

  • is pretty imprecise.

  • Like, what counts as an impractical amount of time?

  • Also, quantum computers might be better only for

  • certain specific kinds of problems -- so does that matter?

  • Google's announcement that they had achieved

  • quantum supremacy has put these questions

  • front and center.

  • They constructed a device consisting of 54 qubits,

  • made of tiny loops of superconducting wire

  • and capable of representing around ten quadrillion states.

  • With it, they created a quantum random number generator

  • and generated a million numbers in just 200 seconds.

  • And after running some tests on the world's

  • most powerful supercomputer, they concluded

  • that the machine would take about 10,000 years

  • to do the same thing.

  • But it didn't take long for a research group at IBM to respond,

  • claiming they could program the same supercomputer

  • to do the simulation in two and a half days,

  • while also providing extra accuracy.

  • This is why it would be nice to have

  • a more solid definition of quantum supremacy.

  • 2.5 days is not 10,000 years, but it's still

  • about 1000x slower than 200 seconds.

  • But we also don't necessarily need

  • a quantum random number generator.

  • Classical ones work fine.

  • So even if this is quantum supremacy, does that matter?

  • We at SciShow are not qualified to say,

  • but what's clear is that quantum computers are getting better.

  • And that has profound implications

  • for the world we live in.

  • Take, for instance, cryptography.

  • Every time you log into your computer or check your email,

  • your data is protected by encryption.

  • That encryption only works because classical computers

  • can't efficiently solve certain kinds of math problems.

  • The code protecting your bank account, for instance,

  • isn't unbreakable -- it would just take so long

  • that the bad guys don't bother.

  • But what if something that today takes ten thousand years

  • suddenly takes two hundred seconds?

  • That's the kind of change quantum computing represents.

  • In a way, you can think of these machines

  • totally like classical computers in the 1950s.

  • They fill rooms, require tons of power,

  • and are only useful for certain kinds of problems.

  • But year by year, they're getting smaller and more powerful.

  • We can debate how much progress has been made,

  • but progress is being made.

  • If history is any indication,

  • we will get there sooner or later.

  • Whenever quantum computers do become a thing,

  • they're going to need quantum computer programmers.

  • And you can learn computer science for yourself

  • with the courses on Brilliant.org.

  • Like the in-depth course on data structures,

  • which is all about the fundamental ways computers store

  • and manipulate data.

  • By the end of the course, you'll know exactly how

  • computers store data easily and access it quickly.

  • Brilliant has dozens of courses like this one.

  • In addition to computer science,

  • they cover science, engineering, and math.

  • Each one is designed to be hands-on

  • and to keep you engaged the whole way through.

  • Courses are even available offline via their Android and iOS apps

  • so you can keep learning on the go.

  • The first 200 people to sign up at Brilliant.org/SciShow

  • will save 20% on an annual premium subscription.

  • So if you've been telling yourself you want to learn to code,

  • here's your chance!

  • And by checking them out, you're helping support SciShow,

  • so thanks!

  • [♪ OUTRO]

Thanks to Brilliant for supporting this episode of SciShow.

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量子至上。量子計算機何時才能成為現實? (Quantum Supremacy: When Will Quantum Computers Be a Thing?)

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    林宜悉 發佈於 2021 年 01 月 14 日
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