qbraid.runtime.TargetProfile

class TargetProfile(**data)

Encapsulates configuration settings for a quantum device, presenting them as a read-only dictionary. This class primarily stores and manages settings that are crucial for the proper functioning and integration of quantum devices within a specified environment.

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

__init__(**data)

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

Methods

__init__(**data)	Create a new model by parsing and validating input data from keyword arguments.
construct([_fields_set])	rtype: Self
copy(*[, include, exclude, update, deep])	Returns a copy of the model.
dict(*[, include, exclude, by_alias, ...])	rtype: Dict[str, Any]
from_orm(obj)	rtype: Self
get(key[, default])	Return the value of the key if it exists.
items()	Return an iterator of key-value pairs of the profile.
json(*[, include, exclude, by_alias, ...])	rtype: str
model_construct([_fields_set])	Creates a new instance of the Model class with validated data.
model_copy(*[, update, deep])	Usage docs: https://docs.pydantic.dev/2.8/concepts/serialization/#model_copy
model_dump(*[, mode, include, exclude, ...])	Usage docs: https://docs.pydantic.dev/2.8/concepts/serialization/#modelmodel_dump
model_dump_json(*[, indent, include, ...])	Usage docs: https://docs.pydantic.dev/2.8/concepts/serialization/#modelmodel_dump_json
model_json_schema([by_alias, ref_template, ...])	Generates a JSON schema for a model class.
model_parametrized_name(params)	Compute the class name for parametrizations of generic classes.
model_post_init(_BaseModel__context)	Override this method to perform additional initialization after __init__ and model_construct.
model_rebuild(*[, force, raise_errors, ...])	Try to rebuild the pydantic-core schema for the model.
model_validate(obj, *[, strict, ...])	Validate a pydantic model instance.
model_validate_json(json_data, *[, strict, ...])	Usage docs: https://docs.pydantic.dev/2.8/concepts/json/#json-parsing
model_validate_strings(obj, *[, strict, context])	Validate the given object with string data against the Pydantic model.
parse_file(path, *[, content_type, ...])	rtype: Self
parse_obj(obj)	rtype: Self
parse_raw(b, *[, content_type, encoding, ...])	rtype: Self
schema([by_alias, ref_template])	rtype: Dict[str, Any]
schema_json(*[, by_alias, ref_template])	rtype: str
update_forward_refs(**localns)	rtype: None
validate(value)	rtype: Self
validate_action_type(value)	Validate the action type.
validate_basis_gates(value)	Validate the basis gates.
validate_basis_gates_after(value, info)	Validate the basis gates after the action type is set.
validate_device_id(value)	Validate the device ID and provider name.
validate_device_type(value)	Validate the device type.
validate_num_qubits(value)	Validate the number of qubits.
validate_program_spec(value)	Validate the program spec.

Attributes

model_computed_fields	A dictionary of computed field names and their corresponding ComputedFieldInfo objects.
model_config	Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].
model_extra	Get extra fields set during validation.
model_fields	Metadata about the fields defined on the model, mapping of field names to [FieldInfo][pydantic.fields.FieldInfo].
model_fields_set	Returns the set of fields that have been explicitly set on this model instance.
device_id
device_type
action_type
num_qubits
program_spec
provider_name
basis_gates