qiskit.optimization.converters.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.convert(problem)

Parameters: penalty (Optional[float]) – Penalty factor to scale equality constraints that are added to objective. If None is passed, penalty factor will be automatically calculated.

__init__(penalty=None)[source]¶

Parameters: penalty (Optional[float]) – Penalty factor to scale equality constraints that are added to objective. If None is passed, penalty factor will be automatically calculated.

Methods

`__init__`([penalty])	type penalty `Optional`[`float`]
`convert`(problem)	Convert a problem with linear equality constraints into new one with a QUBO form.
`decode`(result)	DEPRECATED Decode a result into another form using the information of conversion.
`encode`(problem)	DEPRECATED Encode a QuadraticProgram into another form and keep the information required to decode the result.
`get_compatibility_msg`(problem)	Checks whether a given problem can be solved with this optimizer.
`interpret`(result)	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.

Attributes

penalty

Returns the penalty factor used in conversion.

convert(problem)[source]¶

Convert a problem with linear equality constraints into new one with a QUBO form.

Parameters: problem (QuadraticProgram) – The problem with linear equality constraints to be solved.
Return type: QuadraticProgram
Returns: The problem converted in QUBO format.
Raises: QiskitOptimizationError – In case of an incompatible problem.

decode(result)¶

DEPRECATED Decode a result into another form using the information of conversion.

Return type: OptimizationResult

encode(problem)¶

DEPRECATED Encode a QuadraticProgram into another form and keep the information required to decode the result.

Return type: QuadraticProgram

static get_compatibility_msg(problem)[source]¶

Checks whether a given problem can be solved with this optimizer.

Checks whether the given problem is compatible, i.e., whether the problem can be converted to a QUBO, and otherwise, returns a message explaining the incompatibility.

Parameters: problem (QuadraticProgram) – The optimization problem to check compatibility.
Return type: str
Returns: A message describing the incompatibility.

interpret(result)[source]¶

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

Parameters: result (OptimizationResult) – The result of the converted problem.
Return type: OptimizationResult
Returns: The result of the original problem.

is_compatible(problem)[source]¶

Checks whether a given problem can be solved with the optimizer implementing this method.

Parameters: problem (QuadraticProgram) – The optimization problem to check compatibility.
Return type: bool
Returns: Returns True if the problem is compatible, False otherwise.

property penalty¶

Returns the penalty factor used in conversion.

Return type: Optional[float]
Returns: The penalty factor used in conversion.