cirq_google.workflow.QuantumRuntimeConfiguration

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User-requested configuration of how to execute a given cg.QuantumExecutableGroup.

View aliases

Main aliases

cirq_google.QuantumRuntimeConfiguration, cirq_google.workflow.quantum_runtime.QuantumRuntimeConfiguration

cirq_google.workflow.QuantumRuntimeConfiguration(
    processor_record: 'cg.ProcessorRecord',
    run_id: Optional[str] = None,
    random_seed: Optional[int] = None,
    qubit_placer: cirq_google.workflow.QubitPlacer = NaiveQubitPlacer()
)

Args
processor	The cg.AbstractEngineProcessor responsible for running circuits and providing device information.
run_id	A unique str identifier for a run. If data already exists for the specified run_id, an exception will be raised. If not specified, we will generate a UUID4 run identifier.
random_seed	An initial seed to make the run deterministic. Otherwise, the default numpy seed will be used.
qubit_placer	A cg.QubitPlacer implementation to map executable qubits to device qubits. The placer is only called if a given cg.QuantumExecutable has a problem_topology.

Attributes
processor_record	Dataclass field
run_id	Dataclass field
random_seed	Dataclass field
qubit_placer	Dataclass field

Methods

__eq__

__eq__(
    other
)

Class Variables
qubit_placer	Instance of cirq_google.workflow.NaiveQubitPlacer
random_seed	None
run_id	None