Optimization converters (`qiskit_optimization.converters`)#

This is a set of converters having convert functionality to go between different representations of a given QuadraticProgram and to interpret a given result for the problem, based on the original problem before conversion, to return an appropriate OptimizationResult.

Base class for converters#

QuadraticProgramConverter

An abstract class for converters of quadratic programs in Qiskit optimization module.

Converters#

`InequalityToEquality`	Convert inequality constraints into equality constraints by introducing slack variables.
`IntegerToBinary`	Convert a `QuadraticProgram` into new one by encoding integer with binary variables.
`LinearEqualityToPenalty`	Convert a problem with only equality constraints to unconstrained with penalty terms.
`LinearInequalityToPenalty`	Convert linear inequality constraints to penalty terms of the objective function.
`MaximizeToMinimize`	Convert a maximization problem to a minimization problem only if it is a maximization problem, otherwise problem's sense is unchanged.
`MinimizeToMaximize`	Convert a minimization problem to a maximization problem only if it is a minimization problem, otherwise problem's sense is unchanged.
`QuadraticProgramToQubo`	Convert a given optimization problem to a new problem that is a QUBO.