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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, 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.