qiskit.optimization.converters.IntegerToBinary

class IntegerToBinary

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).

Examples

>>> 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)

References

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

Annealers. arxiv.org:1706.01945.

__init__()

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)

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

Parameters

problem (QuadraticProgram) – The problem to be solved, that may contain integer variables.

Return type

QuadraticProgram

Returns

The converted problem, that contains no integer variables.

Raises

QiskitOptimizationError – if variable or constraint type is not supported.

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

interpret(result)

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

Parameters

result (OptimizationResult) – The result of the converted problem or the given result in case of FAILURE.

Return type

OptimizationResult

Returns

The result of the original problem.