IbmTranslator ¶
Utility class for converting between an IBM solution and our solution format.
IbmTranslator provides methods to: - Convert an IBM-style solution into our solution Solution.
The conversions are especially required when interacting with external ibm solvers/samplers oe libraries that operate on ibm-based problem-solving/sampling.
Examples:
>>> import luna_quantum as lq
>>> ...
>>> ibm_result = ...
>>> aqs = lq.translator.IbmTranslator.to_aq(ibm_result)
to_aq staticmethod ¶
to_aq(
result: PrimitiveResult[PubResult], quadratic_program: QuadraticProgram
) -> Solution
to_aq(
result: PrimitiveResult[PubResult],
quadratic_program: QuadraticProgram,
timing: Timing,
) -> Solution
to_aq(
result: PrimitiveResult[PubResult],
quadratic_program: QuadraticProgram,
*,
env: Environment,
) -> Solution
to_aq(
result: PrimitiveResult[PubResult],
quadratic_program: QuadraticProgram,
timing: Timing,
*,
env: Environment,
) -> Solution
to_aq(
result: PrimitiveResult[PubResult],
quadratic_program: QuadraticProgram,
timing: Timing | None = ...,
*,
env: Environment | None = ...,
) -> Solution
Convert an IBM solution to our solution format.
Parameters:
| Name | Type | Description | Default |
|---|---|---|---|
result | PrimitiveResult[PubResult] | The ibm result. | required |
quadratic_program | QuadraticProgram | The quadratic program defining the optimization problem. | required |
timing | Timing | The timing object produced while generating the result. | ... |
env | Environment | The environment of the model for which the result is produced. | ... |
Raises:
| Type | Description |
|---|---|
NoActiveEnvironmentFoundError | If no environment is passed to the method or available from the context. |
SolutionTranslationError | Generally if the solution translation fails. Might be specified by one of the two following errors. |
SampleIncorrectLengthError | If a solution's sample has a different number of variables than the model environment passed to the translator. |
ModelVtypeError | If the result's variable types are incompatible with the model environment's variable types. |