AwsBackendPreferences
AWS-specific backend preferences for quantum computing tasks using Amazon Braket. This class contains configuration options specific to Amazon Braket, including the AWS role ARN, S3 bucket details, and the folder path within the S3 bucket. It extends the baseBackendPreferences class to provide additional properties required for interaction with
Amazon Braket.
Attributes:
| Name | Type | Description |
|---|---|---|
backend_service_provider | ProviderTypeVendor.AMAZON_BRAKET | The service provider for the backend, which is Amazon Braket. |
aws_access_key_id | str | The access key id of AWS user with full braket access |
aws_secret_access_key | str | The secret key assigned to the access key id for the user with full braket access. |
s3_bucket_name | str | The name of the S3 bucket where results and other related data will be stored. This field should contain a valid S3 bucket name under your AWS account. |
s3_folder | pydantic_backend.PydanticS3BucketKey | The folder path within the specified S3 bucket. This allows for organizing results and data under a specific directory within the S3 bucket. |
emulate | bool | Whether to run the job on a simulator instead of a real quantum device. |
backend_service_provider
backend_service_provider: ProviderTypeVendor.AMAZON_BRAKET = pydantic.Field(default=(ProviderVendor.AMAZON_BRAKET))
aws_access_key_id
aws_access_key_id: str | None = pydantic.Field(default=None, description='Key id assigned to user with credentials to access Braket service')
aws_secret_access_key
aws_secret_access_key: str | None = pydantic.Field(default=None, description='Secret access key assigned to user with credentials to access Braket service')
s3_bucket_name
s3_bucket_name: str | None = pydantic.Field(default=None, description='S3 Bucket Name')
s3_folder
s3_folder: str | None = pydantic.Field(default=None, description='S3 Folder Path Within The S3 Bucket')
emulate
emulate: bool = pydantic.Field(default=False, description='Emulate backend')