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Unveiling our new Quantum AI campus

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Re: Unveiling our new Quantum AI campus

#41

Post by haecceity »

inasio wrote: post #29
ampdepolymerase wrote: post #25

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)).

Slightly tangential but how significant is O(sqrt(n)) speed up? Fast algorithms are slightly faster but intractable algorithms are still intractable?

Re: Unveiling our new Quantum AI campus

#42

Post by enkid »

floatboth wrote: post #34
ampdepolymerase wrote: post #25

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'm not an expert on either, but based on my one course in neural networks I took, they are basically a series of linear algebra equations.

Re: Unveiling our new Quantum AI campus

#44

Post by agumonkey »

sgt101 wrote: post #13

I think QNN are very interesting from a compsci perspective, and interesting from a quantum tech perspective, but not so much from a real world perspective. As I understand it loading classical data into a quantum computer - into quantum ram - is a big bottleneck. So running a QNN over a picture of a cat can't give a speedup vs. running it on a classical machine. Is this wrong HN? I haven't found a result showing QNN…

I know next to nothing about all this but 'bottlenecks' don't worry me when talking about such a deep and ~nascent field. My first desktop had a whopping 4MB DRAM module in it .. we all saw the history of discrete computing manufacturing.

Re: Unveiling our new Quantum AI campus

#46

Post by hdivider »

ampdepolymerase wrote: post #25
Zenst wrote: 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.

>You realize quantum computing is ultimately just a few linear algebra operations right?

Quantum systems have wavefunctions though, which collapse to a state. And before collapse, these can interfere. The math of this involves way more than normal linear algebra. Especially when you consider the things we've simplified away -- e.g. how exactly the wave function collapses. (We just say it's 'abrupt' and kinda leave it there. But it's possible this has implications for quantum computing, once we think in quantum theory terms rather than CS.)

Re: Unveiling our new Quantum AI campus

#47

Post by hypersoar »

For those who are unaware, there's a good reason to put this in Santa Barbara: it's already the home of Microsoft Station Q, a quantum computing research facility on the campus of UCSB. When I left the math department there in 2014, there were more and more graduate students attaching themselves to it. Not to mention the growing tech industry in Goleta (the city UCSB is actually located in). So it's a perfectly sensible place to put a quantum AI lab. Even if you don't know what that means, yet!

Re: Unveiling our new Quantum AI campus

#48

Post by ducttapecrown »

Animats wrote: post #21

In Santa Barbara? That should be interesting. There's been some good physics from there. Flash LIDAR came from Advanced Scientific Concepts there. UC Santa Barbara is Hollywood's vision of a college. Everyone is good-looking and the college is right on the beach.

It's also where Station Q, Microsoft's quantum computing research station is.

Re: Unveiling our new Quantum AI campus

#49

Post by eximius »

haecceity wrote: post #41
inasio wrote: post #29

Earlier quoted context omitted.

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

Slightly tangential but how significant is O(sqrt(n)) speed up? Fast algorithms are slightly faster but intractable algorithms are still intractable?

It makes memory, not compute, the limit.

It halves the exponent on the number of operations. 2^128 - reasonably secure by todays standards! 2^64 - horribly insecure.

(CAVEAT: where the speedup is applicable, which is often hard.)

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