We have a very exciting
last talk coming up. Dario Gil will take us
into a quantum world. Dario is the Vice President
of Science and Solutions at IBM research, where he
leads over 1,500 engineers that are researching in technologies
and physics, math, health care, life sciences and others. And while some of
you will think, a quantum world,
that’s too far out, I’m very sure Dario
will tell us otherwise. So come up here
on stage, please. Thank you. Thank you. I was joking with
Mark that we couldn’t pick an easier topic to end
the day, on quantum computing. But I’ll try to make it
entertaining, and hopefully easy to understand. I’m going to start
with a reference to this term of beautiful ideas. And it came from hosting
a filmmaker about a year and a half ago, in the
laboratory I just showed you. At the TGA Watson Research
Center in Yorktown Heights. And he was a filmmaker
that directed this documentary called
Particle Fever, that I don’t know if you’ve had
a chance to watch, but I highly recommend it. It’s about the team
that was pursuing the discovery of
the Higgs boson, in the largest physics
experiment ever conducted. And a major
character in the film is a professor from Stanford. And at the beginning
of the film, he said something that
really captivated me. He said, “The thing that
differentiates scientists is a purely artistic ability to
discern what is a good idea, what is a beautiful idea,
what is worth spending time on, and most importantly,
what is a problem that is sufficiently interesting,
yet sufficiently difficult, that it hasn’t yet been solved,
but the time for solving it has come now.” ” So I want to tell you about
this beautiful idea, whose time for solving it has come now. And that is the possibility
to create quantum computers. If you look at how
we have created the basis of the
information revolution, and you trace it back to
other beautiful ideas, like what Shannon
taught us, to think about the world of
information abstractly. If you look at an old
punch card and DNA, we’ve come to appreciate that
both carry something in common. They carry information. And Shannon told us
that this world of bits could be decoupled from its
physical implementation. That was really interesting. But in fundamental
ways, it went too far. Leaving too much physics out. So here is two scientists that
work at IBM Research, Charlie Bennett on the right, continues
to work in our laboratory, And is an IBM fellow. And they asked the
question, at the time, of is there a fundamental
limit to how efficient number crunching can
be, computing can be? And when they asked that
question as physicists, they ended up with a
very surprising answer. And they found the
answer to be no. It turns out, that
number crunching can be thermodynamically reversible. These led to an
exploration of, what is the relationship between
physics and information? And there was a
now-famous conference that was jointly organized
between IBM research and MIT at Endicott house,
where this topic was explored in more detail. And the plenary speaker was
none other than Richard Feynman. And Feynman proposed
in that conference, that if you wanted
to simulate nature, we should build a
quantum computer. And I’m gonna explain
you what that means, and how it’s created, and the
problems that it will solve. But first I’ve got to tell you,
what is a fundamental idea? The fundamental
idea, just like we have bits in the
classical world, that can be a zero or a one. In a quantum computer,
you have qubits, which stands for quantum bits. Now, the difference
is that there can be a zero, a one, or
both at the same time. That exploits a principle
of quantum physics called superposition. And it sounds weird and
crazy, but it’s true. Now to give you this unease that
you should feel when you talk about quantum information,
and quantum computing, I’m gonna give you a
very simple example. A thought experiment that
also happens to be true. So let’s imagine that we’re
going to solve this problem. The problem involves,
you have four cards, three are identical, one is
different, one is a queen. We shuffle the cards, and
we put them face down. And the problem we’re
going to solve together, is find the queen. We’re going to be
assisted by two computers. One is a classical computer,
one is a quantum computer. So what we do, is
we turn them down, and we load them into memory. So we use four memory slots. The cards are
identical, we put zeros. The one that has a
queen, we put a one. So in our four slots, we
will have three zeros, and one is a one. We load them on
the two computers. Now we has to write a program
to find the queen, find the one. How would it be
done classically? You would go and
pick a random number, you don’t know where it is. You go look under that memory
slot, see if it’s a one, if not, you go to the next
slot, and so on, and so on. On average, it would take you
the equivalent of 2 and 1/2 turns to find it. It turns out, that with
a two-qubit quantum computer for this
problem, you can always solve it in one shot. So that uneasy feeling
that you have now, should be an explanation that
quantum computer is not just about building a
faster computer. It is building something
that is fundamentally different than a
classical computer. Now, a way to think about
it, an abstraction of it, is that a quantum
computer is always going to have a classical
computer next to it. They have to go together. So you have a classical
set of bits, right? The problem that you’re
trying to explore. And what that quantum computer’s
gonna allow you to do, is to explore these
exponential number of states. These 2 to the n, where n is a
number of qubits that you have. So now, we have relatively
small quantum computers, with few qubits. But just think of the
number, that by the time you have 50 qubits, you
have 2 to the 50 states. That’s a phenomenally
large number. But in the end, after you
explore these number of states, you go back to a
classical output. A string of zeros and
ones, that you interpret with a normal computer. So why is this interesting? And I think in this
audience, I don’t need to explain in
great detail, you know, what exponentials mean,
and why 2 to the 50 is a very large number. But it’s still, I think
it’s an interesting way to communicate
the power of this, and I like to map
it to some problems. But I like to go after
this apocryphal story that actually, IBM
used in the 1960s to explain to people the
power of exponentials. And it had to do
with the person who invented chess, that goes
to the emperor, and says, well here’s his wonderful game. And asks, what do
you want in return? And the person who
invented it says, give me a grain of
rice on the first day, for the first square,
and the second day you give me twice as much. And on the third square, third
day, you give me twice as much as the day before. And the emperor agrees
promptly that that seems quite reasonable. And after a week you
only have 127 grains. After a month,
you have more rice then you’ll eat in your
lifetime, for sure. But just by the time you get
to the end of the chessboard, you have more rice
than Mount Everest. So there are a large
number of problems in the world that have this
characteristic, that they blow up exponentially. And a dirty secret in
the world of computing is that we obviously talk
a lot about all the things that computers can solve, and
can solve a lot of things. But then, there’s
a lot of things that computers can not solve. And very interestingly, they
cannot solve it now, nor ever. And the reason is because they
have this exponential built into them. So take as an example, this
fairly simple equation. Factoring. So if I have a number,
M, that is made out of the multiplication of
two large prime numbers. And I only give you M, and
I ask you find me p and q. It turns out, that that
is phenomenally difficult to solve. There’s no other way but to
divide it sort of sequentially, by prime numbers. So in fact, it’s
so difficult, we use it as the basis
of all encryption. But, if you had a very large
universal fault-tolerant quantum computer, which
is many, many years away, you could solve that
problem in seconds, what would take billions of
years in a classical computer. That tells you something
about the power of what is going to be possible. Take chemistry, as a problem. Because it also has
this characteristic, that it blows up exponentially,
if you try to calculate it. This equation that you see
here is very interesting, because it’s predicted
to occur at the ocean floor near volcanic
sites, and famously has been hypothesized to be the
basis of the formation of life on Earth. But if you take a molecule
like iron sulfide, and you try to do relatively
simple calculations with a normal
machine, it turns out, that we’re not very accurate. And the reason is
that molecules form when electron orbitals
overlap, and the calculation of each orbital requires a
quantum mechanical calculation. So for that simple
molecule, you have on the order of 76 orbitals,
and two to the power of 76, is intractable with a classical
computer, so we can not solve it. Again, on this theme of our
assumptions that computers solve everything,
but they don’t. If you look at calculating
for example, the bond length of a simple molecule
like calcium monoflouride, we still get it off
by a factor of two, even using the largest
supercomputers in the world. To me, this has been
very interesting, this recognition of all these
problems we cannot solve. It’s also true in
optimization problems, that are the basis of
logistics and routing, and you know,
portfolio optimisation. There’s tons and tons of
problems in which at best we do approximations, but
we’re far from optimal, because a number of
possibilities is enormous. So if there’s one message I
want to be able to come across, it’s that we have these
easy problems, which is the world where
classical computers fit, and the problem it’s solved. But then there these other
hard problems, that go outside. And if you don’t
believe that p equals np, which I would say the
majority of mathematicians don’t believe that that is the
case, that those problems are hard for a reason, the only
avenue to go and tackle that, aside from approximations,
will be to the creation of quantum computers. So where are we? We believe that small
practical quantum computers are going
to be possible, and we’re building them now. It requires reinventing
the whole stack. The device is different. It’s not the
traditional transistors. As an example,
this is the device we use for that
quantum computers that we create at IBM, based
on superconducting Josephson junctions. And you’re seeing an example
of one of these device, is superconducting device. And because it’s
superconducting, you have to cool it. So this is what a small
quantum computer looks like. What you’re seeing
here is something called a dilution refrigerator. And this quantum processor
sits at the bottom of this refrigerator,
at the nice temperature of 15 millikelvin. So that is colder
than outer space, where we have to put this
quantum processor in. This is what, for example,
a 16-qubit quantum processor looks like. And you know, inside,
you see the square where the qubits are, and you
see these squiggly lines, which is these coupling
resonators that allow you to send information
uncoupled to the qubits, To send the information. This is what the
wiring looks like, into the refrigerator going
into a quantum processor. There’s these coaxial
cables, because the way you send information
to a quantum processor, is through a series of
microwave pulses, that go in, and then you’re
able to take it out. Now, if you look at pictures
of what computers were like, right, in the ’40s
and the ’50s, it’s kind of like where
we are today, right? That’s what, you know,
quantum computer, that’s the signal processing
required to actually send all those signals down
the coaxial cables, it looks like that. But we’ve also seen
this movie before, in the sense that we know
how much progress we have made from those early system. And while we don’t anticipate
that quantum computers will be on your phone, because they
require cryogenic cooling, we definitely
believe that access to quantum computers
in the cloud will be something that people
will be able to leverage, behind the scenes,
even not knowing. Because we believe that,
we created a small quantum computer last year, and we
made it available to the world. In something called the
IBM Quantum Experience. And all of you can go and log
in and have access to this. It’s available for free. It’s a 5-qubit machine. And since we launched it,
we have over 36,000 users from over 100 countries
that have been doing it. And 15 scientific
publications have gone on it, and people are learning how
to program, and to learn about this new world, and
what is being created. And you can actually
run things on this. So I was telling you about
these chemistry problems. So this is an example of
the expected theoretical calculation, and the actual
calculation, on a small quantum machine, of hydrogen.
So we’re starting to solve small problems. And what is coming in the years
ahead, in the next few years, will be machines that
no classical computer will be able to emulate. Because by the time you
have order of 50 qubits, think about that, that’s
2 to the 50 states. And no classical machine
will be able to emulate what that can do. And that is new territory. And that’s the territory
we’re all going to enter. And now is the most
interesting part, because it’ll be the path of
discovery of what we can do, and what value we can
create, on problems we couldn’t solve before. So I’ll close with
Feynman, who proposed this original idea of creating
these quantum machines. In his inimitable
style, he said, “Nature isn’t classical,
dammit, and if you want to make a
simulation of nature, you better make it
quantum mechanical, and by golly, it is a
wonderful problem, because it doesn’t look so easy.” Thank you.

Quantum computing explained with a deck of cards | Dario Gil, IBM Research
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80 thoughts on “Quantum computing explained with a deck of cards | Dario Gil, IBM Research

  • October 10, 2019 at 3:32 pm
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    quantum computing is fraud

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  • October 10, 2019 at 4:00 pm
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    The comments here are very funny, they are upset because they did not get a comprehensive explanation of quantum computers in a 16 minute video? Who needs years of education and research? Short you tube videos tell me all I ever need to know. I actually have three PhD's all from You Tube University, my doctoral dissertation's can be found in the comment sections. 🙂

    Reply
  • October 10, 2019 at 7:46 pm
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    That's a really great projection screen. What coating did you use? And what kind of projector?

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  • October 11, 2019 at 3:46 pm
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    Where was the deck of cards?

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  • October 12, 2019 at 6:55 am
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    STILL doesn't make sense and is not understandable.

    "I'm sorry, Dave, I'm afraid I can't do that."

    I think people that THINK they know what quantum computing is and what it can do and can be used for have quantum entangled brains. (but please do give them more money for research — they will have the problem solved any day now)

    Although, EVERYONE KNOWS that you only need 42 qubits to solve any and all problems of the world so that you know the Answer to the Ultimate Question of Life, the Universe, and Everything.

    Q.E.D.

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  • October 12, 2019 at 7:25 am
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    This guy looks like that one prankster dude from collegehumor

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  • October 13, 2019 at 2:08 am
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    It says 999 comments..i had to do this to be 1000

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  • October 13, 2019 at 7:39 am
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    See my excellent video: Quantum computing explained by taking a shit.

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  • October 13, 2019 at 3:11 pm
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    13:45 Hence 5G

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  • October 16, 2019 at 12:25 am
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    Not only did he not explain it… He explained an idea I had back when I was 16, some 39 years ago… Basically he said there are 3 answers Yes, No and Maybe… I have come to figure out that there is more than that. Yes, No, Maybe yes, maybe no, and just down the line maybe. It will depend on your resolution of using maybe….

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  • October 16, 2019 at 12:45 am
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    I knew most of this already. Where's the explanation of how a quantum computer only requires one try to find the queen?

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  • October 16, 2019 at 12:47 am
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    6:28. gotcha.

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  • October 16, 2019 at 5:22 am
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    This lecturer did NOT explain quantum computing but instead described it's potential. That's fine but the title is very misleading.

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  • October 17, 2019 at 3:53 pm
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    In fact, he explained nothing. Again, another video on quantum computing full of rubbish talk. At least explain why it is faster than a classical computer without showing the degrees of complexities. Don't waste your time listening to this video.

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  • October 20, 2019 at 3:13 am
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    So, you take a deck of cards. And then wow. Very well explained.

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  • October 20, 2019 at 8:43 pm
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    So frustrating the he doesn't explain anything. "2 to the 50 is hard" but "quantum computer could solve it in seconds". Why? How? Or the whole card analogy held promise, with the full setup and then the punchline "quantum computers can find the queen in 1 operation." Again, what? Why? How? We just do this because we are IBM and you don't need to know any details. Card analogy was false and clickbait. As a university professor, I invest in the principled mantra of "simplify, but explain". Dario very deftly espouses the used-car salesman stereotype; promise the world, show you the ground, expect you to believe that is it. And what is the limiting factor of moving from 5 qubits to 50? My C64 can run circles over 2^5.

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  • October 20, 2019 at 8:47 pm
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    IBM Quantum Research: 1500 scientists doing nothing. Or everything. Just need to wait for the collapse to find out.

    Reply
  • October 22, 2019 at 5:39 am
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    A difficult problem that we must solve now: How can we end poverty AND promote sustainability?

    How can we make prices honest (so profits align with what is good for society and the larger environment and share natural wealth (so no one faces the prospect of not having any material sustenance).

    We can charge fees to industries that put pollution, deplete resources, or disturb / destroy wildlife habitat. Sharing fee proceeds to all people will end poverty. It will  embody in practice the idea that natural wealth belongs to all.

    Maybe quantum computing teams would want to adopt this problem as a public service. But for a limited time, I have $1000 that I can put toward whatever team that can find the three best proposals for ending poverty AND bringing impacts on the environment into line with what most people think is acceptable.

    We might look at efficiency, fairness and consistency with democratic principles as criteria, or other criteria might be suggested. If the proposal linked here is not among the three best, I hope someone can say in what sense it falls short.

    Integration of human society and the environment:
    http://gaiabrain.blogspot.com/2007/09/gaia-brain-integration-of-human-society.html

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  • October 23, 2019 at 10:28 am
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    Quantum is overrated, D.N.A computers are better a classical computer has two states 1 and 0 .
    A quantum computer 4 states ( 0,0,1,1 ) a DNA has 4 squared or 16 states. 1, 2, 3, 4 whait what ?

    Artificial DNA strings have the edge on normal computer code .
    A DNA computer can solve two different problems at the same time a present one correct answer no classical computer needed.
    A DNA computer also eliminates calculations that do not facilitate the computation
    To use the card example
    The problem find the queen the premes is there are 4 cards 3 are the same one of them is a queen
    This is what happens with a DNA computer ( sorry a ADNA computer)
    1 calculating the four states at once
    2 calculating the three states at once
    3 calculating the two states at once
    4 calculating the one states at once
    The answer is X4 = 1
    The artificial DNA strings have two parts called top cells and low cells
    Top cells does half of the calculations the low cell the other half and the conditions between them called ABAS combine both calculations at the same time given the

    Reply
  • October 23, 2019 at 10:32 am
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    We are trying to simulate nature just like we are being simulated. How ironic.

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  • October 23, 2019 at 4:22 pm
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    Only applications of the Quantum computing explained not the principle not an apt title

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  • October 23, 2019 at 5:58 pm
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    Shiniest forehead

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  • October 23, 2019 at 6:28 pm
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    I think he's Peter Sellers pretending to explain quantum computing – got nothing out of this – questions I'd like to see answered – how do you "pose the problem" to the qubits? How do you "set" them? Or do they have all possible answers to all possible questions just there? How do you run the "program"? If the quantum computer can do things in one step – why does it take 100 seconds in his example? How do you query the quantum computer? – all states are there including the answer – how do you pick it out? How do you recognize the answer as being the one you want? I guess there's software written (that sort of hides the base reality) – but how physically is it done without "observing" the quantum states and thus collapsing them. Nice if he had touched on some of these – Feynman quote on explaining "spin" "I couldn't do it. I couldn't reduce it to the freshman level. That means we don't really understand it.". try this guy https://www.youtube.com/watch?v=zNzzGgr2mhk

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  • October 23, 2019 at 7:14 pm
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    At 5:55, why it takes 2,5 turns to find the Queen ?

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  • October 24, 2019 at 3:20 pm
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    Well, this means that an entire blockchain will be unblocked in a manner of hours if not minutes with a quantum computer. so Bitcoin and etherium and other Cryptos will stop being encrypted and "safe". I thought 5G will change things but this, this will change absolutely everything.

    Reply
  • October 24, 2019 at 7:29 pm
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    I didn’t believe in quantum computing before this video and I believe in it even less now… !

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  • October 24, 2019 at 7:33 pm
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    As always it is my theory that if you’re trying to explain something to someone, you should try it out on a class of attentive third graders and if they don’t get it, then you explaining it wrong !

    Reply
  • October 26, 2019 at 7:51 am
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    是IBM公司做广告的,关键 四张牌 的 解释 跳过去了 ,浪费 人家时间 !

    Reply
  • October 26, 2019 at 10:35 am
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    This talk shows everything wrong with quantum computing explanations.
    We are promised an explanation however we are not give a explanation. And this has to be the worst of what I have seen. Explains traditional computing and then simply ASSERTS that quantum computing will do it super ultra mega fast and never explains anything.

    It's a train wreck of a crappy advertisement.
    All I know about quantum computing is that its never explained and smells like one big scam.

    I have no idea why this video was not down voted to hell at this point.

    Reply
  • October 26, 2019 at 2:50 pm
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    Is this Peter Sellers leading the discussion?

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  • October 27, 2019 at 4:03 am
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    Worst (non-existent) explanation ever

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  • October 27, 2019 at 9:25 am
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    Quantum 200 sec and classic 10,000 years.

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  • October 27, 2019 at 1:35 pm
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    There's part of me that watched the whole video, but at the same time there's part of me that looked at the comments before watching and didn't watch it at all. That is the essence of it. Therefore I have chosen to not watch it and so there is another me who has chosen to watch it. I feel bad for that mfer

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  • October 28, 2019 at 2:44 am
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    renting quantum computer time will become a norm but later on we will develop materials that will allow us to do quantum computing at room temperature.

    We just need to advance our material science a little further.

    But we are getting amazing results with graphite and other synthetically arranged materials.

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  • October 28, 2019 at 2:03 pm
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    ..Maybe you’re right maybe you’re wrong.. there is a dark side to this story. Russia are 40 years ahead in this field of quantum to administer double superposition quibits .
    Teleportation Spectrum of protons of synchronised white light, at a single point of contact between two states. At this point lightspeed is halfed, this action increases multiply its intensity as to damage eyes retina! … as displayed on video from USA planes , As Russia’s /dome of light/ Expansion of light with a controlled duration .. Jacktar

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  • October 28, 2019 at 5:35 pm
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    Not explained at all.

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  • October 29, 2019 at 9:03 am
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    Why does 3% of world wide money can solve peace yet 97% is spent on war

    Reply
  • October 30, 2019 at 11:47 am
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    My way of trying to understand and explain quantum computing.

    know those things that you know you dont know but you want to know. And a normal computer cant tell you or solve? Well, quantum computer can find out those answers. How? Because it's not limited to binary way of operating. It operates in 1 0 or 1and0 at the same time.

    Reply
  • October 30, 2019 at 5:57 pm
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    2433

    Reply
  • October 31, 2019 at 4:09 am
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    We are moving rapidly toward quantum computing. How does the technology work and what does it mean for our future? Scientist Dario Gil, VP of Science and Solutions at IBM, provides clarity on this complex topic. David Morczinek gives the introduction.

    Reply
  • October 31, 2019 at 12:04 pm
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    oh please stop explaining 🙂

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  • November 1, 2019 at 7:27 am
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    Pay no heed to the mean comments. They're just 'little people' Dari O'Gil.

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  • November 1, 2019 at 9:51 am
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    Einstein: Spooky action at a distance
    Me: Supernatural

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  • November 1, 2019 at 9:06 pm
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    What computing …
    It's a secret they don't want to share.

    Reply
  • November 2, 2019 at 12:31 am
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    Sigh. Another supposed explanation that doesn't explain anything; just that the quantum computer can do it. I know that two to the 50th is a big number. I also know that I can get 2^50 combinations from 50 bits of my phone's memory. I don't understand how the qubit states are (finally) set (settle?) to 1s and 0s.

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  • November 2, 2019 at 12:44 pm
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    Shamelessly executed commercial! Completely wasting learning people's time, by not at all explaining what was promised by the title.

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  • November 2, 2019 at 1:07 pm
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    Ok it's been a few years where we at with QM now?

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  • November 2, 2019 at 2:59 pm
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    I could not find any explanatation in this talk.

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  • November 3, 2019 at 6:00 pm
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    Come on, I can take 6 comparators, 4 on the first level and 2 on the second level, and I'll get the answer to the 4-card example in one operation that is subject only to the delay through the two levels. The example is contrived and usually rests on some "authority" of the presenter. What helps is the (quiet) audience of people hoping for the funding where nobody asks questions. On top of that, if the quantity of cards doubles the number of comparators also doubles and there is no hardware runaway in the classical configuration.

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  • November 3, 2019 at 6:12 pm
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    Note to Feynman: If you only knew how to create nature's systems with geometry you would not need to swear in frustration. RIP

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  • November 3, 2019 at 7:04 pm
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    Queen of spades is the bitch and ace of spades is the death card – what's not to understand?

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  • November 3, 2019 at 10:31 pm
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    As I understand it, and I could be wrong. Standard computers use two Constants, "0" and "1", or yes and no. Quantum computers introduce a variable "0-1", or maybe. Written as "yes" "no" "maybe" using two constants and one variable they somehow do their magic.

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  • November 4, 2019 at 8:05 am
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    What he says about Rolf Landauer seems to be a wrong summary of his work. He didn't believe in the usefulness of quantum computing since it is restricted to reversible algorithms. His contribution to physics was to show that erasing information must produce heat, which would lead to the collapse of the quantum states.

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  • November 4, 2019 at 8:46 pm
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    Who is Google

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  • November 5, 2019 at 6:11 am
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    I'm not a math major. For that matter, I didn't do well in High School with math. I considered Algebra an invitation to fail 9th grade. But it sounds to me like this system would allow anyone missing or hiding to be found. Goober-mints would love that technology.

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  • November 7, 2019 at 2:10 am
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    A clueless guy leads an IBM department. Nothing new.

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  • November 7, 2019 at 5:21 pm
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    The title is as true as "A deck of cards explained by quantum computing". Peace

    Reply
  • November 8, 2019 at 6:22 am
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    I guess for those who commented that the video did nothing to add to their understanding of Quantum Computing either had too high an expectation of what can be conveyed in a short video, a lack of intelligence or failed to pick up some of the “Gems” that were spoken on in simple language: “Number crunching can be thermo-dynamically reversible” Anyone pick up any others?

    Reply
  • November 8, 2019 at 6:36 am
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    I understand finally but took me 2 weeks of research.
    Qcomputer can pick out the right card because all states are entangled whereas in classical computers you have to check (compute) each state.

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  • November 8, 2019 at 8:07 pm
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    these idiots are being led down the DEMONIC rabbit hole. being fed a drop at a time.

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  • November 10, 2019 at 5:33 am
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    A bit more. Read three at a time wow.

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  • November 10, 2019 at 4:09 pm
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    Electronic Ouija board.

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  • November 10, 2019 at 4:32 pm
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    He should do yoga. He looks really stiff.

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  • November 10, 2019 at 10:37 pm
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    Should have simply shown a movie of Richard Feynman lectures

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  • November 11, 2019 at 9:30 am
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    Humanity does NOT NEED IT!

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  • November 11, 2019 at 2:58 pm
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    When you watch a video and wind up far more confused than you were going in, something is wrong.

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  • November 11, 2019 at 7:15 pm
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    "quantum" is just another invented bullshit term, like "gravity"….it has no meaning

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  • November 11, 2019 at 11:26 pm
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    ?? ? Title

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  • November 12, 2019 at 4:11 pm
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    It's not often I down-thumb someone's well-meaning vid. But this one is a really deserving case. I doubt whether this bloke could explain how a spoon works, let alone quantum anything.

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  • November 13, 2019 at 11:16 am
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    Good – so far he explained nothing about Q computers, he stated some things it can possibly be used for. His cards analogue was totally wrong, because after making an assumption the cards have 52 outcome, there were already Single Instruction Multiple Processing (SIMP) computers such as Distributed Array Processor (DAP), that could pick out the requested card in one instruction. DAP type of machines are regular computers. The secret of quantum computer power will lie in the new quantum mechanics type of algorithms.
    It is exciting to know that the QCs will be accessible via cloud. I like to know more about that.

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  • November 13, 2019 at 5:10 pm
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    How the hell can you predict 1 out of 4 card with 1 shot? Makes absolutely no sense to me, and since there's already a 5-qubit machine why doesn't this asshole demonstrate the card thing with the cloud machine for us to see the awesome power of quantum computing in action.

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  • November 14, 2019 at 2:49 am
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    True scale quantum computing does not exist today however it will but it could be years or close to never? so does one exist today "1,000 logical quantum bits around on a quantum computer, and really up to 10,000 logical quantum bits?" – research.microsoft.com -Brian LaMacchia

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  • November 14, 2019 at 2:50 am
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    Shor's Algorithm

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  • November 14, 2019 at 5:10 am
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    This sure must be quantum! Sounds like trav! 🙂

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  • November 14, 2019 at 4:59 pm
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    So, did you actually explain why the quantum computer could find that Queen in one shot or am I left with more questions?

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  • November 14, 2019 at 5:02 pm
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    This guy doesn't explain how to find queen in quantum way…

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  • November 15, 2019 at 1:00 am
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    The amount of combinations of a deck of cards is more than the theoretical number of particles in the universe. 52! is much more than 10 to the 80.

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  • November 15, 2019 at 3:02 am
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    Nope you are nitpicking and biased, I win, bye bye

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  • November 16, 2019 at 12:53 am
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    If you do not understand something you can't explain it.

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  • November 16, 2019 at 6:40 am
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    Waste of time!

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