qiskit.optimization.converters.InequalityToEquality¶

class InequalityToEquality(mode='auto')[source]¶

Convert inequality constraints into equality constraints by introducing slack variables.

Examples

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

Parameters

mode (str) –

To chose the type of slack variables. There are 3 options for mode.

’integer’: All slack variables will be integer variables.
’continuous’: All slack variables will be continuous variables
’auto’: Try to use integer variables but if it’s not possible,
use continuous variables

__init__(mode='auto')[source]¶

Parameters

mode (str) –

To chose the type of slack variables. There are 3 options for mode.

’integer’: All slack variables will be integer variables.
’continuous’: All slack variables will be continuous variables
’auto’: Try to use integer variables but if it’s not possible,
use continuous variables

Methods

__init__([mode])

type mode: str

convert(problem)

Convert a problem with inequality constraints into one with only equality constraints.

interpret(x)

Convert a result of a converted problem into that of the original problem.

Attributes

mode

Returns the mode of the converter

convert(problem)[source]¶

Convert a problem with inequality constraints into one with only equality constraints.

Parameters

problem (QuadraticProgram) – The problem to be solved, that may contain inequality constraints.

Return type

QuadraticProgram

Returns

The converted problem, that contain only equality constraints.

Raises

QiskitOptimizationError – If a variable type is not supported.
QiskitOptimizationError – If an unsupported mode is selected.
QiskitOptimizationError – If an unsupported sense is specified.

interpret(x)[source]¶

Convert a result of a converted problem into that of the original problem.

Parameters: x (Union[ndarray, List[float]]) – The result of the converted problem or the given result in case of FAILURE.
Return type: ndarray
Returns: The result of the original problem.

property mode¶

Returns the mode of the converter

Return type: str
Returns: The mode of the converter used for additional slack variables