Combining Nvidia RAPIDS Technology with D-Wave Annealer

Does anyone have any practical experience combining Nvidia hardware, specifically RAPIDS cuDF, with a quantum annealer? My application would benefit from both technologies running in parallel, but I have no idea how to combine them practically.

I am looking at Nvidia hardware to speed up the digital signal processing and D-Wave for the AI symbolic logic constraint logic. They run asynchronously in parallel.

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  • A quantum annealer is an expensive piece of hardware. I am thinking of keeping it constantly fed with data by using Nvidia technology to preprocess data. RAPIDS cuDF is a simple tool to manipulate data in ways that a quantum annealer cannot. Does this make sense to you? Thanks.

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  • Hello Daro, to add to Alex's comment, above, I would suggest signing up for the Leap offer (http://cloud.dwavesys.com/leap) and writing a small program to use the QPU. After that is done, you could feed data to it using your RAPIDS cuDF setup, on a very small scale. Like Alex, I'm not aware of anyone doing this thus far. 

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  • Hi Daro,

    One kind of input where our hybrid solvers can be useful is clustering dissimilarity (distance) data.   For high dimensional data, computing all of the pairwise distances could be expensive.   I could see GPU-accelerated cuDF calculations would be useful in place of Pandas.

    Best,

    Marcus

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  • Hi Daro,

    I don't have any experience combining RAPIDS cuDF with the QPU, but it sounds like the d-wave hybrid tool may be helpful here. 

    Can you give any more information about your problem? 

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