AwsTranslator

Utility class for converting between an AWS result and our solution format.

AwsTranslator provides methods to: - Convert an AWS-style result into our solution Solution.

The conversions are especially required when interacting with external aws solvers/samplers or libraries that operate on aws-based problem-solving/sampling.

Examples:

>>> import luna_quantum as lq
>>> aws_result = ...
>>> aqs = lq.translator.AwsTranslator.to_aq(aws_result)

to_aq staticmethod

to_aq(result: dict[str, Any]) -> Solution

to_aq(result: dict[str, Any], timing: Timing) -> Solution

to_aq(result: dict[str, Any], *, env: Environment) -> Solution

to_aq(result: dict[str, Any], timing: Timing, *, env: Environment) -> Solution

to_aq(
    result: dict[str, Any],
    timing: Timing | None = ...,
    *,
    env: Environment | None = ...,
) -> Solution

Convert an AWS Braket result to our solution format.

Parameters:

Name	Type	Description	Default
result	dict[str, Any]	The aws braket result.	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.