qiskit.optimization.algorithms.CplexOptimizer¶

class CplexOptimizer(disp=False)[source]¶

The CPLEX optimizer wrapped as an Qiskit OptimizationAlgorithm.

This class provides a wrapper for cplex.Cplex (https://pypi.org/project/cplex/) to be used within the optimization module.

Exemples

>>> from qiskit.optimization.problems import QuadraticProgram
>>> from qiskit.optimization.algorithms import CplexOptimizer
>>> problem = QuadraticProgram()
>>> # specify problem here, if cplex is installed
>>> optimizer = CplexOptimizer() if CplexOptimizer.is_cplex_installed() else None
>>> if optimizer: result = optimizer.solve(problem)

Initializes the CplexOptimizer.

Paramètres: disp (bool) – Whether to print CPLEX output or not.
Lève: MissingOptionalLibraryError – CPLEX is not installed.

__init__(disp=False)[source]¶

Initializes the CplexOptimizer.

Paramètres: disp (bool) – Whether to print CPLEX output or not.
Lève: MissingOptionalLibraryError – CPLEX is not installed.

Methods

`__init__`([disp])	Initializes the CplexOptimizer.
`get_compatibility_msg`(problem)	Checks whether a given problem can be solved with this optimizer.
`is_compatible`(problem)	Checks whether a given problem can be solved with the optimizer implementing this method.
`is_cplex_installed`()	Returns True if cplex is installed
`solve`(problem)	Tries to solves the given problem using the optimizer.

Attributes

disp

Returns the display setting.

property disp¶

Returns the display setting.

Type renvoyé: bool
Renvoie: Whether to print CPLEX information or not.

get_compatibility_msg(problem)[source]¶

Checks whether a given problem can be solved with this optimizer.

Returns '' since CPLEX accepts all problems that can be modeled using the QuadraticProgram. CPLEX may throw an exception in case the problem is determined to be non-convex.

Paramètres: problem (QuadraticProgram) – The optimization problem to check compatibility.
Type renvoyé: str
Renvoie: An empty string.

is_compatible(problem)¶

Checks whether a given problem can be solved with the optimizer implementing this method.

Paramètres: problem (QuadraticProgram) – The optimization problem to check compatibility.
Type renvoyé: bool
Renvoie: Returns True if the problem is compatible, False otherwise.

static is_cplex_installed()[source]¶: Returns True if cplex is installed

solve(problem)[source]¶

Tries to solves the given problem using the optimizer.

Runs the optimizer to try to solve the optimization problem. If problem is not convex, this optimizer may raise an exception due to incompatibility, depending on the settings.

Paramètres: problem (QuadraticProgram) – The problem to be solved.
Type renvoyé: OptimizationResult
Renvoie: The result of the optimizer applied to the problem.
Lève: QiskitOptimizationError – If the problem is incompatible with the optimizer.