SampleSet energy

• 

  Tanvi M  (Report)

  November 11, 2022 02:12

  Hi Sehmimul,

  The energy landscape is defined by the linear and quadratic biases of a problem formulation.

  For example, consider an example where the objective function is -2a+b-4ab and a,b are binary variables. The solution space for this example is:

  

  Submitting this problem to the QPU:

  >>> from dwave.system import DWaveSampler, EmbeddingComposite
  >>> sampler = EmbeddingComposite(DWaveSampler())
  >>> Q = {('a', 'a'): -2, ('b', 'b'): 1, ('a','b'): -4}
  >>> sampleset = sampler.sample_qubo(Q, num_reads = 10)
  >>> print(sampleset)
     a  b energy num_oc. chain_.
  0  1  1   -5.0      10     0.0
  ['BINARY', 1 rows, 10 samples, 2 variables]

  As expected, the example above returns the lowest energy solution with a=b=1 and energy -5.0.
  
  You might also find our getting started guide helpful: https://docs.dwavesys.com/docs/latest/doc_getting_started.html

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