QuadraticProgramToQubo

class QuadraticProgramToQubo(penalty=None)

Bases: 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, a penalty factor will be automatically calculated on every conversion.

Attributes

penalty

Returns the penalty factor used in conversion.

Methods

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