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Client for running on Google's Quantum Engine.
Modules
abstract_engine module: Interface for Engine objects.
abstract_job module: A helper for jobs that have been created on the Quantum Engine.
abstract_local_engine module
abstract_local_job module: A helper for jobs that have been created on the Quantum Engine.
abstract_local_processor module
abstract_local_program module
abstract_processor module: Abstract interface for a quantum processor.
abstract_program module: An interface for quantum programs.
asyncio_executor module
calibration module: Calibration wrapper for calibrations returned from the Quantum Engine.
calibration_layer module
calibration_result module
calibration_to_noise_properties module: Tools for converting Calibrations to NoiseProperties.
engine module: Classes for running against Google's Quantum Cloud Service.
engine_client module
engine_job module: A helper for jobs that have been created on the Quantum Engine.
engine_processor module
engine_program module
engine_result module
engine_validator module
local_simulation_type module
processor_sampler module
runtime_estimator module: Utility functions to estimate runtime using Engine to execute circuits.
simulated_local_engine module: Classes for running against Google's Quantum Cloud Service.
simulated_local_job module: An implementation of AbstractJob that uses in-memory constructs and a provided sampler to execute circuits.
simulated_local_processor module
simulated_local_program module
stream_manager module
util module
validating_sampler module
virtual_engine_factory module: Functions to instantiate SimulatedLocalEngines to simulate various Google Devices.
Classes
class AbstractEngine: An abstract object representing a collection of quantum processors.
class AbstractJob: An abstract object representing a quantum job execution.
class AbstractLocalEngine: Collection of processors that can execute quantum jobs.
class AbstractLocalJob: A job that handles labels and descriptions locally in-memory.
class AbstractLocalProcessor: Partial implementation of AbstractProcessor using in-memory objects.
class AbstractLocalProgram: A quantum program designed for local in-memory computation.
class AbstractProcessor: An abstract interface for a quantum processor.
class AbstractProgram: An abstract object representing a quantum program.
class Calibration: A convenience wrapper for calibrations that acts like a dictionary.
class CalibrationLayer: Python implementation of the proto found in cirq_google.api.v2.calibration_pb2.FocusedCalibrationLayer for use in Engine calls.
class CalibrationResult: Python implementation of the proto found in cirq_google.api.v2.calibration_pb2.CalibrationLayerResult for use in Engine calls.
class Engine: Runs programs via the Quantum Engine API.
class EngineException: Common base class for all non-exit exceptions.
class EngineJob: A job created via the Quantum Engine API.
class EngineProcessor: A processor available via the Quantum Engine API.
class EngineProgram: A program created via the Quantum Engine API.
class EngineResult: A ResultDict with additional job metadata.
class ProcessorSampler: A wrapper around AbstractProcessor to implement the cirq.Sampler interface.
class ProtoVersion: Protocol buffer version to use for requests to the quantum engine.
class SimulatedLocalEngine: Collection of processors backed by local samplers.
class SimulatedLocalJob: A quantum job backed by a (local) sampler.
class SimulatedLocalProcessor: A processor backed by a sampler and device.
class SimulatedLocalProgram: A program backed by a (local) sampler.
class ValidatingSampler: Something capable of sampling quantum circuits. Simulator or hardware.
Functions
create_default_noisy_quantum_virtual_machine(...): Creates a virtual engine with a noisy simulator based on a processor id.
create_device_from_processor_id(...): Generates a cirq.Device for a given processor ID.
create_noiseless_virtual_engine_from_device(...): Creates an Engine object with a single processor backed by a noiseless simulator.
create_noiseless_virtual_engine_from_latest_templates(...): Creates a noiseless virtual engine based on current templates.
create_noiseless_virtual_engine_from_proto(...): Creates a noiseless virtual engine object from a device specification proto.
create_noiseless_virtual_engine_from_templates(...): Creates a noiseless virtual engine object from a device specification template.
estimate_run_batch_time(...): Compute the estimated time for running a batch of programs.
estimate_run_sweep_time(...): Compute the estimated time for running a parameter sweep across a single Circuit.
estimate_run_time(...): Compute the estimated time for running a single circuit.
get_engine(...): Get an Engine instance assuming some sensible defaults.
get_engine_calibration(...): Returns calibration metrics for a given processor.
get_engine_device(...): Returns a Device object for a given processor.
get_engine_sampler(...): Get an EngineSampler assuming some sensible defaults.
load_median_device_calibration(...): Loads a median cirq_google.Calibration for the given device.
load_sample_device_zphase(...): Loads sample Z phase errors for the given device.
noise_properties_from_calibration(...): Translates between cirq_google.Calibration and NoiseProperties.