D-Wave Hybrid

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  David J  (Report)

  February 21, 2020 00:07

  Hello,

  There is some documentation for the KerberosSampler here:
  https://docs.ocean.dwavesys.com/projects/hybrid/en/latest/reference/reference.html#hybrid.reference.kerberos.KerberosSampler

  You can see that it is constructed and then just called like a normal sampler.

  So the most straightforward way to call it with a QUBO would be like this:

  import hybrid
  
  sampler = hybrid.KerberosSampler()
  result = sampler.sample_qubo(Q)

  Unlike the other dwave-hybrid workflows, you do not have to construct it from decomposers, samplers, and composers.
  The KerberosSampler is a simple, preconfigured sampler.

  I hope this answers your question.

  Please let us know if you have any questions.

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  Fiona H  (Report)

  February 28, 2020 03:10 (Edited February 28, 2020 09:49)

  Hi Richard, 

  Yesterday we launched Leap 2 and I am happy to tell you that it is now much easier to solve problems that are larger than a D-Wave 2000Q QPU.  Please try using our new hybrid solver, which you will see on your Leap Dashboard as hybrid_v1. It accepts problems of up to 10,000 variables fully connected!

  Submit the problem through Ocean as you would any other problem to the D-Wave system, but specify the new LeapHybridSampler in your Python program:

  from dwave.system import LeapHybridSampler

  Take a look at our Knapsack example in Github, which is designed to demonstrate the usage of the hybrid solver.

  Let us know how it goes, 

  Fiona

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  Joel P  (Report)

  February 28, 2020 14:27

  Richard,

  See also Leap's new Hybrid Computing Jupyter Note, which has examples of Kerberos, of setting parameters for Kerberos, and of developing your own hybrid workflows and samplers. You should find everything you want to know about hybrid there.

  Joel

   

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