qiskit.optimization.converters.IntegerToBinary¶

class IntegerToBinary[source]¶

Convert a QuadraticProgram into new one by encoding integer with binary variables.

This bounded-coefficient encoding used in this converted is proposed in [1], Eq. (5).

Exemples

>>> from qiskit.optimization.problems import QuadraticProgram
>>> from qiskit.optimization.converters import IntegerToBinary
>>> problem = QuadraticProgram()
>>> var = problem.integer_var(name='x', lowerbound=0, upperbound=10)
>>> conv = IntegerToBinary()
>>> problem2 = conv.convert(problem)

Références

[1]: Sahar Karimi, Pooya Ronagh (2017), Practical Integer-to-Binary Mapping for Quantum: Annealers. arxiv.org:1706.01945.

__init__()[source]¶: Initialize self. See help(type(self)) for accurate signature.

Methods

`__init__`()	Initialize self.
`convert`(problem)	Convert an integer problem into a new problem with binary variables.
`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.
`interpret`(result)	Convert back the converted problem (binary variables) to the original (integer variables).

convert(problem)[source]¶

Convert an integer problem into a new problem with binary variables.

Paramètres: problem (QuadraticProgram) – The problem to be solved, that may contain integer variables.
Type renvoyé: QuadraticProgram
Renvoie: The converted problem, that contains no integer variables.
Lève: QiskitOptimizationError – if variable or constraint type is not supported.

decode(result)¶

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

Type renvoyé: OptimizationResult

encode(problem)¶

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

Type renvoyé: QuadraticProgram

interpret(result)[source]¶

Convert back the converted problem (binary variables) to the original (integer variables).

Paramètres: result (OptimizationResult) – The result of the converted problem or the given result in case of FAILURE.
Type renvoyé: OptimizationResult
Renvoie: The result of the original problem.