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  • Quantum computers promise to one day dominate their classical counterparts like the computers

  • we use today.

  • But classical computers will not go gentle into that good night.

  • They're fighting inevitable quantum supremacy, and they're using some tricks they've

  • picked up thanks to quantum computers.

  • You're probably familiar with how classical computers work, information is broken up into

  • bits, which are represented by 1s and 0s.

  • Quantum computers, on the other hand, could leverage quantum phenomenon to make themselves

  • exponentially more powerful.

  • We've got a whole video here that explains the fundamentals.

  • There are certain tasks that quantum computers would ideally be suited to.

  • Things like predicting how a molecule in a pharmaceutical will interact with the human

  • body.

  • This behavior depends on the observation of a molecule's electrons, which obey the laws

  • of quantum physics.

  • If you were to simulate them using a computer that also behaves according to quantum mechanics,

  • you could get an answer much faster than if you tried to make a classical computer figure

  • it out.

  • Using a classical computer to simulate quantum phenomenon is like using a spoon to tunnel

  • through a mountain.

  • It's not really the right tool for the job, and even if it does work it's going to take

  • forever.

  • You'd also need an ungodly amount of spoons.

  • But what classical computers lack in quantum-ness, programmers can make up for with cleverness.

  • With mathematical techniques, some problems that look rooted in quantum processes could

  • be bede-quantizedand simulated efficiently with classical computers.

  • It's not really clear why some algorithms are easy to rearrange and simulate classically

  • while others aren't, though it appears that the less entanglement is part of the problem,

  • the more likely it is that computer scientists can manipulate it and run it efficiently on

  • a classical computer.

  • Sometimes though research into quantum computing can lead to breakthroughs for their classical

  • counterparts.

  • In fact one problem that was thought uniquely suited to quantum computers was recently shown

  • to be solvable with classical computers as well.

  • The problem was known as the recommendation system problem, and you are intimately familiar

  • with it.

  • If you watch a lot of videos on YouTube, YouTube wants to figure out what you and people with

  • similar tastes will want to watch next.

  • You may have noticed YouTube is terrible at this.Seriously I watched one makeup tutorial

  • just to see what all the fuss was about, and now all I'm seeing is Jeffree Star in my

  • feed.

  • Not that I'm complaining.

  • Classical algorithms just aren't good at taking all the data about what videos that

  • viewers like have in common and quickly suggesting other similar videos.

  • That is, until June of 2018.

  • A student at UT Austin demonstrated that a classical algorithm could compete with a quantum

  • one, and serve you better video recommendations.

  • He created a fast classical algorithm.

  • To go back to that YouTube example, you can think of the data arranged in a giant grid,

  • where videos are listed along one axis, and users listed down the side.

  • The promise of a quantum algorithm is that it can recognize preference patterns and generate

  • recommendations to fill in the blanks in the matrix faster than a classic algorithm.

  • But the UT student found a way to tackle the recommendation problem with a classical algorithm

  • that ran in polylogarithmic time, an exponential speed up!

  • Essentially he drew inspiration from a quantum algorithm to design a classic one, and it

  • worked.

  • It still has to pass peer review so don't expect your recommendations to get better

  • any time soon.

  • But the irony is he was originally tasked with proving that the quantum solution was

  • definitely superior.

  • He tried to show that no classical solution could keep up, but found one that did and

  • ended up advancing classical computing instead.

  • Quantum computers still have a long way to go before they can claim quantum supremacy.

  • Scientists will have to figure out how to make unstable qubits last longer to reduce

  • the noise and error rates of the machines of today.

  • We'll also have to get better at controlling qubits and designing the quantum architecture

  • of the chip.

  • Even so, unless we develop room temperature superconductors, quantum computers are going

  • to have to be kept in ultra cold environments to function.

  • That means that classical computers aren't going anywhere anytime soon, but they may

  • get better thanks to competition from their quantum rivals.

  • In the quantum realm, I can exist with AND without a beard.

  • I know this is confusing.

  • But you know what isn't?

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  • Like complicated science in your day, every day?

  • Well subscribe!

  • And if you're craving to know more about the mechanics of a quantum computer check

  • out this video here (it's real good) Also the UT Austin student who devised a never

  • before seen superfast classical algorithm was 18 at the time.

  • What have you done Kylie Jenner?

  • Thanks for watching and see you next time on Seeker.

Quantum computers promise to one day dominate their classical counterparts like the computers

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B2 US quantum classical domain algorithm computer simulate

Quantum Computers Are Making Classical Ones Faster, Here's How

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    joey joey posted on 2021/04/13
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