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Samplers

Utility Samplers

Exact Sampler

QUBODrivers.ExactSampler.Optimizer — Type
ExactSampler.Optimizer{T}

This sampler performs an exhaustive search over all $2^{n}$ possible states.

Warn

Due to the exponetially large amount of visited states, it is not possible to use this sampler for problems any larger than $20$ variables big.

source

Random Sampler

QUBODrivers.RandomSampler.Optimizer — Type
RandomSampler.Optimizer{T}

Attributes

  • RandomSeed, "seed": Random seed to initialize the random number generator.
  • NumberOfReads, "num_reads": Number of random states sampled per run.
  • RandomGenerator, "rng": Random Number Generator instance.
source

Identity Sampler

Showcase

Before explaining in detail how to use this package, it's good to list a few examples for the reader to grasp. Below, there are links to the files containing the actual interface implementations. These are mostly thin wrappers interfacing with common algorithms and heuristics written in Python, Julia or C/C++.

ProjectSource Code
DWave.jlDWave
DWaveNeal.jlDWaveNeal
IsingSolvers.jlGreedyDescent
ILP
MCMCRandom
QuantumAnnealingInterface.jlQuantumAnnealingInterface
CIMOptimizer.jlCIMOptimizer