IntegerToBinary
IntegerToBinary GitHub(opens in a new tab)
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.encode(problem)References
[1]: Sahar Karimi, Pooya Ronagh (2017), Practical Integer-to-Binary Mapping for Quantum
Annealers. arxiv.org:1706.01945.
Methods
decode
IntegerToBinary.decode(result)
Convert the encoded problem (binary variables) back to the original (integer variables).
Parameters
result (OptimizationResult) – The result of the converted problem.
Return type
OptimizationResult
Returns
The result of the original problem.
encode
IntegerToBinary.encode(op, name=None)
Convert an integer problem into a new problem with binary variables.
Parameters
- op (
QuadraticProgram) – The problem to be solved, that may contain integer variables. - name (
Optional[str]) – The name of the converted problem. If not provided, the name of the input problem is used.
Return type
Returns
The converted problem, that contains no integer variables.
Raises
QiskitOptimizationError – if variable or constraint type is not supported.