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[ARS] D-Wave’s quantum optimizer pitted against traditional computers

post #1 of 25
Thread Starter 
http://arstechnica.com/science/2013/05/d-waves-quantum-optimizer-pitted-against-traditional-computers/
Quote:
Back in 2007, a company called D-Wave made waves by claiming it had built a 16-bit quantum computer at a time when most academic labs could only manage a handful of bits. What they demonstrated, however, wasn't a quantum computer in the sense that most people use the term. The company has since started calling its device a "quantum optimizer." Although it's not a general-purpose quantum computer, the hardware does seem to be capable of tackling some computationally hard challenges.

I'm a bit surprised that this product actually works and works well*.



*for very specific problem sets.


Google bought one: http://arstechnica.com/science/2013/05/google-buys-a-d-wave-quantum-optimizer/
http://googleresearch.blogspot.com/2013/05/launching-quantum-artificial.html#!/2013/05/launching-quantum-artificial.html
Edited by DuckieHo - 5/16/13 at 11:35am
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post #2 of 25
I think the best combo would be a traditional and the quantum circuit working together to tackle problems that each are best fit for.

The only issue is that would be even harder than the CPU+GPU issue that AMD was plagued with. You can not cool a silicon circuit to near absolute zero as it would cause it to cold lock. Nor can you allow a quantum computer to operate above near absolute zero. And then there's also the electrical costs of cooling it.

Unless if you manage to build a quantum computer that can operate at room temperature...
post #3 of 25
Thread Starter 
Quote:
Originally Posted by A Bad Day View Post

I think the best combo would be a traditional and the quantum circuit working together to tackle problems that each are best fit for.

The only issue is that would be even harder than the CPU+GPU issue that AMD was plagued with. You can not cool a silicon circuit to near absolute zero as it would cause it to cold lock. Nor can you allow a quantum computer to operate above near absolute zero.
You would only buy this product if you already have the specific problem requirements that it can solve well. You build/buy servers/HPC for specific workloads.

There is no good reason to make D-wave's product on-package.
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post #4 of 25
Its cool, I already solved P=NP anyway.
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post #5 of 25
Thread Starter 
Quote:
Originally Posted by Avonosac View Post

Its cool, I already solved P=NP anyway.

Where's your Fields Medal?
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post #6 of 25
Quote:
Originally Posted by DuckieHo View Post

Where's your Fields Medal?

I dunno, somewhere on my desk lachen.giflachen.gif

This system is pretty cool, would love to see a room temperature machine though.
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post #7 of 25
What kind of problem sets could this be usefull for? Bitcoin mining? Or like a traffic light computer that manages the traffic on many high traffic squares?
 
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post #8 of 25
Most likely scientific/physics problems. Some can take at least weeks to finish simulating.
post #9 of 25
At this point, the cost of operation must be high enough where this would make sense on NP-Hard problems with very large pools, think about the QUBO, or the traveling salesman but more complex... It won't work on all NP-Hard problems, but for anything which the solution is highly complicated iteratively, this machine seems to have a chance to really beat the snot out of it computationally.
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post #10 of 25
Thread Starter 
Quote:
Originally Posted by Avonosac View Post

This system is pretty cool, would love to see a room temperature machine though.
That probably won't happen since this design relies on lowest energy states.

Quote:
Originally Posted by Hukkel View Post

What kind of problem sets could this be usefull for? Bitcoin mining? Or like a traffic light computer that manages the traffic on many high traffic squares?
Machine learning.... probable best paths.... it takes large datasets and tries to see patterns basically...


Bitcoin mining is hashing.
Traffic management is more like real-time fluid dynamics.
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