qlauncher.routines.dwave.algorithms

DWave algorithms

Summary

Classes:

DwaveSolver
SimulatedAnnealing	Simulated annealing simulator backend
SteepestDescent	Steepest descent simulator backend
Tabu	Tabu search simulator backend

Reference

class qlauncher.routines.dwave.algorithms.DwaveSolver(chain_strength: int = 1, num_reads: int = 1000, **alg_kwargs)

Bases: Algorithm[BQM, BQMBackend], ABC

run(problem: BQM, backend: BQMBackend) → Result

Runs the algorithm on a specific problem using a backend.

Parameters:

• problem (Problem) – The problem to be solved.

• backend (Backend) – The backend to be used for execution.

class qlauncher.routines.dwave.algorithms.Tabu(chain_strength: int = 1, num_reads: int = 1000, **alg_kwargs)

Bases: DwaveSolver

Tabu search simulator backend

class qlauncher.routines.dwave.algorithms.SimulatedAnnealing(chain_strength: int = 1, num_reads: int = 1000, **alg_kwargs)

Bases: DwaveSolver

Simulated annealing simulator backend

class qlauncher.routines.dwave.algorithms.SteepestDescent(chain_strength: int = 1, num_reads: int = 1000, **alg_kwargs)

Bases: DwaveSolver

Steepest descent simulator backend