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With things like these, I like to think how much money went into the development of the random PR assets like the weird progression diagram. Apparently, that money is better spent of these than say, someone on the Python Language Committee, or your entire Python team.
Quantum AI running self driving cars in the blockchain cloud, social VR controlled. Experience our agile experience powered with renewable big data. Gamifying the digital transformation of tomorrow!
Just an aside but Google should really stop outsourcing their web builds. The quality is terrible
Oh hey apparently there are some 26MB of mp4s that didn't load at first, they served a 2.4MB "Mobile" mp4 instead, so it's not all bad.
Just an aside but Google should really stop outsourcing their web builds. The quality is terrible
I fail to see what is so wrong with it. It works on mobile, and it has some actual information. I suppose at least 95% of the internet is worse off. Are you sure it is not a taste issue?
Massive assumption that it was built by an external team. But I'd hope so :)
Earlier quoted context omitted.
Feynman's lecture explains why classical computers are terrible at simulating quantum systems. The basic problem is that the number of states grows exponentially with the size of the system. You very quickly have to start making approximations, and it takes an enormous amount of classical computing power and memory to handle even relatively small systems.
Yes, you have to make approximations and deal with (estimates of) errors. However, quantum computers also have to deal with noise and errors. So far, that's not very different. (If we manage to build error-correcting quantum computers, that might change.)
This is very different from, say, an approximation that adds in a small amount of noise that you can estimate. The approximations in simulating quantum systems classically can radically change the behavior of the system, in ways that you might not understand or be able to easily estimate.
With things like these, I like to think how much money went into the development of the random PR assets like the weird progression diagram. Apparently, that money is better spent of these than say, someone on the Python Language Committee, or your entire Python team.
When computers first began development during WW2, they were a response to immediate demands for particular functionality from many technical areas. Quantum computing seems to go the exact opposite route, first of building up an (admittedly very interesting) technology and then later figuring out if there actually is anything useful to do with it. The connection to AI is particularly interesting, because it seems to be built entirely out of a combination of two buzzwords.
The fact this prize exists is admitting that no one has figured out a use for quantum computers. I have heard this mentioned several times in the last decade or so : "The only thing a quantum computer definitively does better than a classical computer is simulating a quantum computer." Whether this capability is useful is up in the air. Note that in practice, classical computers are going to be better at factoring nu…
The big one is simulation of quantum systems, I don’t get how that’s not enough by itself? Classical computers will never be able to simulate quantum systems efficiently so we need quantum computers for that. In general achieving arbitrary precision control of quantum states is something that will open avenues in many areas like sensing as well, so just from that angle alone a working quantum computer would open a ne…
Earlier quoted context omitted.
> I have heard this mentioned several times in the last decade or so : "The only thing a quantum computer definitively does better than a classical computer is simulating a quantum computer." And, hopefully, other quantum systems in general! I can see that helping with material science. That can have huge multiplier effects on the rest of the economy. But I agree with you, that other serious applications of quantum c…
I thought one of the main advantages of QC was that it could (theoretically) solve existing problems that have exponential time complexity with more efficiency. Isn’t the idea that it could make everything faster? Or did I fall for the marketing.