# Copyright Amazon.com Inc. or its affiliates. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License"). You
# may not use this file except in compliance with the License. A copy of
# the License is located at
#
# http://aws.amazon.com/apache2.0/
#
# or in the "license" file accompanying this file. This file is
# distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF
# ANY KIND, either express or implied. See the License for the specific
# language governing permissions and limitations under the License.
from importlib import import_module
from typing import List, Optional
from pydantic.v1 import Field, validator
from braket.device_schema.error_mitigation.error_mitigation_scheme import ErrorMitigationScheme
from braket.device_schema.gate_model_parameters_v1 import GateModelParameters
from braket.schema_common import BraketSchemaBase, BraketSchemaHeader
[docs]
class IonqDeviceParameters(BraketSchemaBase):
"""
This defines the parameters common to all the IonQ devices.
Attributes:
paradigmParameters: Parameters that are common to gatemodel paradigm
errorMitigation: The error mitigation schemes to apply to the circuit
Examples:
>>> import json
>>> input_json = {
... "braketSchemaHeader": {
... "name": "braket.device_schema.ionq.ionq_device_parameters",
... "version": "1",
... },
... "paradigmParameters": {"braketSchemaHeader": {
... "name": "braket.device_schema.gate_model_parameters",
... "version": "1",
... },"qubitCount": 1},
... "errorMitigation": [
... {
... "type": "braket.device_schema.error_mitigation.debias.Debias"
... }
... ]
... }
>>> IonqDeviceParameters.parse_raw_schema(json.dumps(input_json))
"""
_PROGRAM_HEADER = BraketSchemaHeader(
name="braket.device_schema.ionq.ionq_device_parameters", version="1"
)
braketSchemaHeader: BraketSchemaHeader = Field(default=_PROGRAM_HEADER, const=_PROGRAM_HEADER)
paradigmParameters: GateModelParameters
errorMitigation: Optional[List[ErrorMitigationScheme]] = None
[docs]
@validator("errorMitigation", each_item=True, pre=True)
def validate_em(cls, value, field):
"""
Pydantic uses the validation subsystem to create objects.
This custom validator ensures O(1) deserialization
"""
if isinstance(value, ErrorMitigationScheme):
return value
if value is not None and "type" in value:
split = value["type"].rsplit(".", 1)
return getattr(import_module(split[0]), split[1])(**value)
raise ValueError(f"Invalid type or value specified: {value} for field: {field}")