QuadraticProgramToQubo¶

class QuadraticProgramToQubo(penalty=None)[source]¶

Bases: qiskit.optimization.converters.quadratic_program_converter.QuadraticProgramConverter

Convert a given optimization problem to a new problem that is a QUBO.

Examples

>>> from qiskit.optimization.problems import QuadraticProgram
>>> from qiskit.optimization.converters import QuadraticProgramToQubo
>>> problem = QuadraticProgram()
>>> # define a problem
>>> conv = QuadraticProgramToQubo()
>>> problem2 = conv.convert(problem)

Parameters: penalty (Optional[float]) – Penalty factor to scale equality constraints that are added to objective. If None is passed, penalty factor will be automatically calculated.

Methods

`convert`	Convert a problem with linear equality constraints into new one with a QUBO form.
`get_compatibility_msg`	Checks whether a given problem can be solved with this optimizer.
`interpret`	Convert a result of a converted problem into that of the original problem.
`is_compatible`	Checks whether a given problem can be solved with the optimizer implementing this method.

Attributes

penalty¶

Returns the penalty factor used in conversion.

Return type: Optional[float]
Returns: The penalty factor used in conversion.