QuadraticProgramToQubo¶

class QuadraticProgramToQubo(penalty=None)[source]¶

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.encode(problem)

Parameters: penalty (Optional[float]) – Penalty factor to scale equality constraints that are added to objective.

Methods

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