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Unveiling our new Quantum AI campus

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31–40 of 77 posts

Re: Unveiling our new Quantum AI campus

#31
post #22

Earlier quoted context omitted.

I think Preskill just had a paper out showing average case advantages for common QML tasks.

do you have a link?

Sorry, I misspoke slightly, but there is an advantage - https://twitter.com/RobertHuangHY/status/1393263028150231041

Re: Unveiling our new Quantum AI campus

#32
Tiny feedback for anyone reading who worked on this page: https://quantumai.google/learn/lab

It would be great if the audio clips had the standard seek bar with the ability to pause/play. Perhaps when I scroll up or down to a section, pause the current audio clip. Then resume playing it when I come back. But also allow me to seek around. Rather than just restarting from the beginning. Because these clips are several minutes long and I am given no indication of their length.

Currently all I can do is either continue listening for an unknown amount of time, or go to the next/previous section and completely lose my progress.

Re: Unveiling our new Quantum AI campus

#33
post #29

Earlier quoted context omitted.

You realize quantum computing is ultimately just a few linear algebra operations right? There is no more magic in it than conventional neural network based models. Standard ML ethical frameworks are more than sufficient. Adding "quantum" simply means speed ups for a few specific types of operations. You are not going to get an AGI with the current state of the art in quantum computing.

No. See for example the Grover search algorithm. You can use to find whether an item is inside a list in O(sqrt(n)).

I don't understand what you are saying. The parent comment said that quantum allows a few types of operations to get faster, and your response was "No," followed by a specific algorithm that is faster. Where do you disagree?

Re: Unveiling our new Quantum AI campus

#34
post #20

Earlier quoted context omitted.

> I was sceptical because 'AI' and 'quantum' seems to be used interchangeably and fits your regular snakeoil salestalk That was my first take - and akin to saying "quantum intelligence" which just reeks of marketing on a synergy overdrive mission. Of course they are just using quantum hardware/software approach towards AI type problems. So for me it may of been better to say Quantum Annealed AI. But then, as a campus…

You realize quantum computing is ultimately just a few linear algebra operations right? There is no more magic in it than conventional neural network based models. Standard ML ethical frameworks are more than sufficient. Adding "quantum" simply means speed ups for a few specific types of operations. You are not going to get an AGI with the current state of the art in quantum computing.

Are those quantum speed ups for neural nets even good?

More specifically, are they better than the ones from "neuromorphic" chips like Intel Loihi?

Re: Unveiling our new Quantum AI campus

#35
post #6

Earlier quoted context omitted.

I’d also be curious the goals/budget of Quantum AI.

The problem with defining clear goals for Quantum AI is that if you try to measure them then they will change.

The one you measure won't change, just all the rest.

Re: Unveiling our new Quantum AI campus

#36
post #30

I don't even know how to make strings in C, how the hell am I going to code on a quantum computer. Sigh.

You're programming on a computer that run on C and others today, I'm sure you'll manage in the future too. "On the shoulders of giants" and all that.

Re: Unveiling our new Quantum AI campus

#37
post #29

Earlier quoted context omitted.

You realize quantum computing is ultimately just a few linear algebra operations right? There is no more magic in it than conventional neural network based models. Standard ML ethical frameworks are more than sufficient. Adding "quantum" simply means speed ups for a few specific types of operations. You are not going to get an AGI with the current state of the art in quantum computing.

No. See for example the Grover search algorithm. You can use to find whether an item is inside a list in O(sqrt(n)).

How big does n need to be before the expected runtime is less than n/2? And at that n, what gate fidelity is necessary to ensure that the answer will usally be correct?

Re: Unveiling our new Quantum AI campus

#38
>> Within the decade, Google aims to build a useful, error-corrected quantum computer. This will accelerate solutions for some of the world’s most pressing problems, like sustainable energy and reduced emissions to feed the world’s growing population, and unlocking new scientific discoveries, like more helpful AI.

Are "sustainable energy", "reduced emissions to feed the world's growing population" and "unlocking new scientific discoveries like more helpful AI" goals that Google is currently working towards?

Regarding the need to feed "the world's growing population", note that absolute increase in global population per year has levelled off for several decades and may even be decreasing:

https://en.wikipedia.org/wiki/Population_growth

Re: Unveiling our new Quantum AI campus

#39
post #24

Earlier quoted context omitted.

I don't understand this question? Grover's algorithm is itself faster than classical search algos. It is as of yet unknown whether quantum computers are more powerful than classical computers; there is no proof that BQP is strictly bigger than P. There is oracle separation but that's not the same thing.

I think that BQP > P is not so important. Exponential advantage of known qalg vs known c_alg when the hardware is available is what's important.

that's what everyone says but imagine 10 years from now someone proves BQP < P. since that proof will entail a ptime reduction you'll immediately have a ptime shor's and etc.

Re: Unveiling our new Quantum AI campus

#40

Earlier quoted context omitted.

You realize quantum computing is ultimately just a few linear algebra operations right? There is no more magic in it than conventional neural network based models. Standard ML ethical frameworks are more than sufficient. Adding "quantum" simply means speed ups for a few specific types of operations. You are not going to get an AGI with the current state of the art in quantum computing.

Are those quantum speed ups for neural nets even good? More specifically, are they better than the ones from "neuromorphic" chips like Intel Loihi?

I suppose that’s the reason google made the investment- to find out.
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