dwave.samplers.RandomSampler.sample#

RandomSampler.sample(bqm: BinaryQuadraticModel, *, num_reads: int | None = None, time_limit: float | timedelta | None = None, max_num_samples: int = 1000, seed: None | int | Generator = None, **kwargs) → SampleSet[source]#

Return random samples for a binary quadratic model.

Parameters:

  • bqm – Binary quadratic model to be sampled from.

  • num_reads – The maximum number of random samples to be drawn. If neither num_reads nor time_limit are provided, num_reads is set to 1. If time_limit is provided, there is no limit imposed on the number of reads.

  • time_limit – The maximum run time in seconds. Only the time to generate the samples, calculate the energies, and maintain the population is counted.

  • max_num_samples – The maximum number of samples returned by the sampler. This limits the memory usage for small problems are large time_limits. Ignored when num_reads is set.

  • seed – Seed for the random number generator. Passed to numpy.random.default_rng().

Returns:

A sample set. Some additional information is provided in the info dictionary:

  • num_reads: The total number of samples generated.