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qiskit.providers.ibmq.accountprovider のソースコード

# This code is part of Qiskit.
#
# (C) Copyright IBM 2017, 2021.
#
# This code is licensed under the Apache License, Version 2.0. You may
# obtain a copy of this license in the LICENSE.txt file in the root directory
# of this source tree or at http://www.apache.org/licenses/LICENSE-2.0.
#
# Any modifications or derivative works of this code must retain this
# copyright notice, and modified files need to carry a notice indicating
# that they have been altered from the originals.

"""Provider for a single IBM Quantum Experience account."""

import logging
from typing import Dict, List, Optional, Any, Callable, Union
from collections import OrderedDict
import traceback
import copy

from qiskit.providers import ProviderV1 as Provider  # type: ignore[attr-defined]
from qiskit.providers.models import (QasmBackendConfiguration,
                                     PulseBackendConfiguration)
from qiskit.circuit import QuantumCircuit
from qiskit.transpiler import Layout
from qiskit.providers.ibmq.runtime import runtime_job  # pylint: disable=unused-import
from qiskit.providers.ibmq import ibmqfactory  # pylint: disable=unused-import

from .api.clients import AccountClient
from .ibmqbackend import IBMQBackend, IBMQSimulator
from .credentials import Credentials
from .ibmqbackendservice import IBMQBackendService, IBMQDeprecatedBackendService
from .utils.json_decoder import decode_backend_configuration
from .experiment import IBMExperimentService
from .runtime.ibm_runtime_service import IBMRuntimeService
from .exceptions import IBMQNotAuthorizedError, IBMQInputValueError
from .runner_result import RunnerResult

logger = logging.getLogger(__name__)


[ドキュメント]class AccountProvider(Provider): """Provider for a single IBM Quantum Experience account. The account provider class provides access to the IBM Quantum Experience services available to this account. You can access a provider by enabling an account with the :meth:`IBMQ.enable_account()<IBMQFactory.enable_account>` method, which returns the default provider you have access to:: from qiskit import IBMQ provider = IBMQ.enable_account(<INSERT_IBM_QUANTUM_EXPERIENCE_TOKEN>) To select a different provider, use the :meth:`IBMQ.get_provider()<IBMQFactory.get_provider>` method and specify the hub, group, or project name of the desired provider. Each provider may offer different services. The main service, :class:`~qiskit.providers.ibmq.ibmqbackendservice.IBMQBackendService`, is available to all providers and gives access to IBM Quantum Experience devices and simulators. You can obtain an instance of a service using the :meth:`service()` method or as an attribute of this ``AccountProvider`` instance. For example:: backend_service = provider.service('backend') backend_service = provider.service.backend Since :class:`~qiskit.providers.ibmq.ibmqbackendservice.IBMQBackendService` is the main service, some of the backend-related methods are available through this class for convenience. The :meth:`backends()` method returns all the backends available to this account:: backends = provider.backends() The :meth:`get_backend()` method returns a backend that matches the filters passed as argument. An example of retrieving a backend that matches a specified name:: simulator_backend = provider.get_backend('ibmq_qasm_simulator') It is also possible to use the ``backend`` attribute to reference a backend. As an example, to retrieve the same backend from the example above:: simulator_backend = provider.backend.ibmq_qasm_simulator Note: The ``backend`` attribute can be used to autocomplete the names of backends available to this provider. To autocomplete, press ``tab`` after ``provider.backend.``. This feature may not be available if an error occurs during backend discovery. Also note that this feature is only available in interactive sessions, such as in Jupyter Notebook and the Python interpreter. """ def __init__(self, credentials: Credentials, factory: 'ibmqfactory.IBMQFactory') -> None: """AccountProvider constructor. Args: credentials: IBM Quantum Experience credentials. factory: IBM Quantum account. """ super().__init__() self.credentials = credentials self._factory = factory self._api_client = AccountClient(credentials, **credentials.connection_parameters()) # Initialize the internal list of backends. self.__backends: Dict[str, IBMQBackend] = {} self._backend = IBMQBackendService(self) self.backends = IBMQDeprecatedBackendService(self.backend) # type: ignore[assignment] # Initialize other services. self._experiment = IBMExperimentService(self) if credentials.experiment_url else None self._runtime = IBMRuntimeService(self) \ if credentials.runtime_url else None self._services = {'backend': self._backend, 'experiment': self._experiment, 'runtime': self._runtime} @property def _backends(self) -> Dict[str, IBMQBackend]: """Gets the backends for the provider, if not loaded. Returns: Dict[str, IBMQBackend]: the backends """ if not self.__backends: self.__backends = self._discover_remote_backends() return self.__backends @_backends.setter def _backends(self, value: Dict[str, IBMQBackend]) -> None: """Sets the value for the account's backends. Args: value: the backends """ self.__backends = value
[ドキュメント] def backends( self, name: Optional[str] = None, filters: Optional[Callable[[List[IBMQBackend]], bool]] = None, **kwargs: Any ) -> List[IBMQBackend]: """Return all backends accessible via this provider, subject to optional filtering. Args: name: Backend name to filter by. filters: More complex filters, such as lambda functions. For example:: AccountProvider.backends(filters=lambda b: b.configuration().n_qubits > 5) kwargs: Simple filters that specify a ``True``/``False`` criteria in the backend configuration, backends status, or provider credentials. An example to get the operational backends with 5 qubits:: AccountProvider.backends(n_qubits=5, operational=True) Returns: The list of available backends that match the filter. """ # pylint: disable=method-hidden # pylint: disable=arguments-differ # This method is only for faking the subclassing of `BaseProvider`, as # `.backends()` is an abstract method. Upon initialization, it is # replaced by a `IBMQBackendService` instance. pass
def _discover_remote_backends(self, timeout: Optional[float] = None) -> Dict[str, IBMQBackend]: """Return the remote backends available for this provider. Args: timeout: Maximum number of seconds to wait for the discovery of remote backends. Returns: A dict of the remote backend instances, keyed by backend name. """ ret = OrderedDict() # type: ignore[var-annotated] configs_list = self._api_client.list_backends(timeout=timeout) for raw_config in configs_list: # Make sure the raw_config is of proper type if not isinstance(raw_config, dict): logger.warning("An error occurred when retrieving backend " "information. Some backends might not be available.") continue try: decode_backend_configuration(raw_config) try: config = PulseBackendConfiguration.from_dict(raw_config) except (KeyError, TypeError): config = QasmBackendConfiguration.from_dict(raw_config) backend_cls = IBMQSimulator if config.simulator else IBMQBackend ret[config.backend_name] = backend_cls( configuration=config, provider=self, credentials=self.credentials, api_client=self._api_client) except Exception: # pylint: disable=broad-except logger.warning( 'Remote backend "%s" for provider %s could not be instantiated due to an ' 'invalid config: %s', raw_config.get('backend_name', raw_config.get('name', 'unknown')), repr(self), traceback.format_exc()) return ret
[ドキュメント] def run_circuits( self, circuits: Union[QuantumCircuit, List[QuantumCircuit]], backend_name: str, shots: Optional[int] = None, initial_layout: Optional[Union[Layout, Dict, List]] = None, layout_method: Optional[str] = None, routing_method: Optional[str] = None, translation_method: Optional[str] = None, seed_transpiler: Optional[int] = None, optimization_level: int = 1, init_qubits: bool = True, rep_delay: Optional[float] = None, transpiler_options: Optional[dict] = None, measurement_error_mitigation: bool = False, use_measure_esp: Optional[bool] = None, **run_config: Dict ) -> 'runtime_job.RuntimeJob': """Execute the input circuit(s) on a backend using the runtime service. Note: This method uses the IBM Quantum runtime service which is not available to all accounts. Args: circuits: Circuit(s) to execute. backend_name: Name of the backend to execute circuits on. Transpiler options are automatically grabbed from backend configuration and properties unless otherwise specified. shots: Number of repetitions of each circuit, for sampling. If not specified, the backend default is used. initial_layout: Initial position of virtual qubits on physical qubits. layout_method: Name of layout selection pass ('trivial', 'dense', 'noise_adaptive', 'sabre'). Sometimes a perfect layout can be available in which case the layout_method may not run. routing_method: Name of routing pass ('basic', 'lookahead', 'stochastic', 'sabre') translation_method: Name of translation pass ('unroller', 'translator', 'synthesis') seed_transpiler: Sets random seed for the stochastic parts of the transpiler. optimization_level: How much optimization to perform on the circuits. Higher levels generate more optimized circuits, at the expense of longer transpilation time. If None, level 1 will be chosen as default. init_qubits: Whether to reset the qubits to the ground state for each shot. rep_delay: Delay between programs in seconds. Only supported on certain backends (``backend.configuration().dynamic_reprate_enabled`` ). If supported, ``rep_delay`` will be used instead of ``rep_time`` and must be from the range supplied by the backend (``backend.configuration().rep_delay_range``). Default is given by ``backend.configuration().default_rep_delay``. transpiler_options: Additional transpiler options. measurement_error_mitigation: Whether to apply measurement error mitigation. use_measure_esp: Whether to use excited state promoted (ESP) readout for measurements which are the final instruction on a qubit. ESP readout can offer higher fidelity than standard measurement sequences. See `here <https://arxiv.org/pdf/2008.08571.pdf>`_. **run_config: Extra arguments used to configure the circuit execution. Returns: Runtime job. """ inputs = copy.deepcopy(run_config) # type: Dict[str, Any] inputs['circuits'] = circuits inputs['optimization_level'] = optimization_level inputs['init_qubits'] = init_qubits inputs['measurement_error_mitigation'] = measurement_error_mitigation if shots: inputs['shots'] = shots if initial_layout: inputs['initial_layout'] = initial_layout if layout_method: inputs['layout_method'] = layout_method if routing_method: inputs['routing_method'] = routing_method if translation_method: inputs['translation_method'] = translation_method if seed_transpiler: inputs['seed_transpiler'] = seed_transpiler if rep_delay: inputs['rep_delay'] = rep_delay if transpiler_options: inputs['transpiler_options'] = transpiler_options if use_measure_esp is not None: inputs['use_measure_esp'] = use_measure_esp options = {'backend_name': backend_name} return self.runtime.run('circuit-runner', options=options, inputs=inputs, result_decoder=RunnerResult)
[ドキュメント] def service(self, name: str) -> Any: """Return the specified service. Args: name: Name of the service. Returns: The specified service. Raises: IBMQInputValueError: If an unknown service name is specified. IBMQNotAuthorizedError: If the account is not authorized to use the service. """ if name not in self._services: raise IBMQInputValueError(f"Unknown service {name} specified.") if self._services[name] is None: raise IBMQNotAuthorizedError("You are not authorized to use this service.") return self._services[name]
[ドキュメント] def services(self) -> Dict: """Return all available services. Returns: All services available to this provider. """ return {key: val for key, val in self._services.items() if val is not None}
[ドキュメント] def has_service(self, name: str) -> bool: """Check if this provider has access to the service. Args: name: Name of the service. Returns: Whether the provider has access to the service. Raises: IBMQInputValueError: If an unknown service name is specified. """ if name not in self._services: raise IBMQInputValueError(f"Unknown service {name} specified.") if self._services[name] is None: return False return True
@property def backend(self) -> IBMQBackendService: """Return the backend service. Returns: The backend service instance. """ return self._backend @property def experiment(self) -> IBMExperimentService: """Return the experiment service. Returns: The experiment service instance. Raises: IBMQNotAuthorizedError: If the account is not authorized to use the experiment service. """ if self._experiment: return self._experiment else: raise IBMQNotAuthorizedError("You are not authorized to use the experiment service.") @property def runtime(self) -> IBMRuntimeService: """Return the runtime service. Returns: The runtime service instance. Raises: IBMQNotAuthorizedError: If the account is not authorized to use the service. """ if self._runtime: return self._runtime else: raise IBMQNotAuthorizedError("You are not authorized to use the runtime service.") def __eq__( self, other: Any ) -> bool: if not isinstance(other, AccountProvider): return False return self.credentials == other.credentials def __repr__(self) -> str: credentials_info = "hub='{}', group='{}', project='{}'".format( self.credentials.hub, self.credentials.group, self.credentials.project) return "<{} for IBMQ({})>".format( self.__class__.__name__, credentials_info)