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Classes for working with Google's Quantum Engine API.
Modules
api module: Helpers for converting to/from api data formats.
calibration module: Functions for calling the calibration API and characterizing qubits.
cloud module: Protocol buffers and generated client for Quantum Engine API.
devices module: Devices and Noise models for publicly known Google devices.
engine module: Client for running on Google's Quantum Engine.
experimental module: Experimental features.
json_resolver_cache module: Module for use in exporting cirq-google objects in JSON.
line module: Utilities for picking out a line of GridQubits from a device.
ops module: Qubit Gates, Operations, and Tags useful for Google devices.
serialization module: Classes for serializing circuits into protocol buffers.
study module: Classes for running sweeps particular to Google hardware.
transformers module: Transformers for compiling to Google-specific gates, such as Sycamore.
workflow module: Utilities for running end-to-end experiments using Quantum Computing Service (QCS).
Classes
class AnnealSequenceSearchStrategy: Linearized sequence search using simulated annealing method.
class BitstringsMeasurement: Use in-circuit MeasurementGate to collect many repetitions of strings of bits.
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 CalibrationTag: Tag to add onto an Operation that specifies alternate parameters.
class CircuitOpDeserializer: Describes how to serialize CircuitOperations.
class CircuitOpSerializer: Describes how to serialize CircuitOperations.
class CircuitSerializer: A class for serializing and deserializing programs and operations.
class CircuitWithCalibration: Circuit with characterization data annotations.
class CouldNotPlaceError: Raised if a problem topology could not be placed on a device graph.
class Engine: Runs programs via the Quantum Engine API.
class EngineJob: A job created via the Quantum Engine API.
class EngineProcessor: A processor available via the Quantum Engine API.
class EngineProcessorRecord: A serializable record of processor_id to map to a cg.EngineProcessor.
class EngineProgram: A program created via the Quantum Engine API.
class EngineResult: A ResultDict with additional job metadata.
class ExecutableGroupResult: Results for a cg.QuantumExecutableGroup.
class ExecutableGroupResultFilesystemRecord: Filename references to the constituent parts of a cg.ExecutableGroupResult.
class ExecutableResult: Results for a cg.QuantumExecutable.
class ExecutableSpec: Specification metadata about an executable.
class FSimGateFamily: GateFamily useful to convert/accept cirq.FSimGate and other related gate types.
class FSimPhaseCorrections: Operations that compensate for zeta, chi and gamma angles of an approximate FSimGate gate.
class FloquetPhasedFSimCalibrationOptions: Options specific to Floquet PhasedFSimCalibration.
class FloquetPhasedFSimCalibrationRequest: PhasedFSim characterization request specific to Floquet calibration.
class GoogleCZTargetGateset: cirq.CZTargetGateset implementation tailored to Google devices.
class GoogleNoiseProperties: Noise-defining properties for a Google device.
class GreedySequenceSearchStrategy: Greedy search method for linear sequence of qubits on a chip.
class GridDevice: Device object representing Google devices with a grid qubit layout.
class InternalGate: InternalGate is a placeholder gate for internal gates.
class KeyValueExecutableSpec: A generic executable spec whose metadata is a list of key-value pairs.
class LinePlacementStrategy: Choice and options for the line placement calculation method.
class LocalXEBPhasedFSimCalibrationOptions: Options for configuring a PhasedFSim calibration using a local version of XEB.
class LocalXEBPhasedFSimCalibrationRequest: PhasedFSim characterization request for local cross entropy benchmarking (XEB) calibration.
class NaiveQubitPlacer: Don't do any qubit placement, use circuit qubits.
class NoiseModelFromGoogleNoiseProperties: A noise model defined from noise properties of a Google device.
class PhasedFSimCalibrationError: Error that indicates the calibration failure.
class PhasedFSimCalibrationOptions: Base class for calibration-specific options passed together with the requests.
class PhasedFSimCalibrationRequest: Description of the request to characterize PhasedFSimGate.
class PhasedFSimCalibrationResult: The PhasedFSimGate characterization result.
class PhasedFSimCharacterization: Holder for the unitary angles of the cirq.PhasedFSimGate.
class PhasedFSimEngineSimulator: Wrapper on top of cirq.Simulator that allows to simulate calibration requests.
class PhysicalZTag: Class to add as a tag onto an Operation to denote a Physical Z operation.
class ProcessorRecord: A serializable record that maps to a particular cg.engine.AbstractProcessor.
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 QuantumExecutable: An executable quantum program.
class QuantumExecutableGroup: A collection of QuantumExecutables.
class QuantumRuntimeConfiguration: User-requested configuration of how to execute a given cg.QuantumExecutableGroup.
class RuntimeInfo: Runtime information relevant to a particular cg.QuantumExecutable.
class Serializer: Interface for serialization.
class SharedRuntimeInfo: Runtime information common to all cg.QuantumExecutables in an execution of a cg.QuantumExecutableGroup.
class SimulatedProcessorRecord: A serializable record mapping a processor_id and optional noise spec to a simulator-backed mock of cg.AbstractProcessor.
class SimulatedProcessorWithLocalDeviceRecord: A serializable record mapping a processor_id and optional noise spec to a completely local cg.AbstractProcessor
class SycamoreGate: The Sycamore gate is a two-qubit gate equivalent to FSimGate(π/2, π/6).
class SycamoreTargetGateset: Target gateset containing Sycamore + single qubit rotations + Measurement gates.
class ValidatingSampler: Something capable of sampling quantum circuits. Simulator or hardware.
class XEBPhasedFSimCalibrationOptions: Options for configuring a PhasedFSim calibration using XEB.
class XEBPhasedFSimCalibrationRequest: PhasedFSim characterization request for cross entropy benchmarking (XEB) calibration.
Functions
SYC(...): The Sycamore gate is a two-qubit gate equivalent to FSimGate(π/2, π/6).
arg_from_proto(...): Extracts a python value from an argument value proto.
execute(...): Execute a cg.QuantumExecutableGroup according to a cg.QuantumRuntimeConfiguration.
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.
known_2q_op_to_sycamore_operations(...): Synthesizes a known two-qubit operation using cirq_google.SYC + single qubit rotations.
line_on_device(...): Searches for linear sequence of qubits on device.
make_zeta_chi_gamma_compensation_for_moments(...): Compensates circuit moments against errors in zeta, chi and gamma angles.
make_zeta_chi_gamma_compensation_for_operations(...): Compensates circuit operations against errors in zeta, chi and gamma angles.
merge_matching_results(...): Merges a collection of results into a single result.
noise_properties_from_calibration(...): Translates between cirq_google.Calibration and NoiseProperties.
prepare_characterization_for_circuits_moments(...): Extracts a minimal set of characterization requests necessary to characterize given circuits.
prepare_characterization_for_moment(...): Describes a given moment in terms of a characterization request.
prepare_characterization_for_moments(...): Extracts a minimal set of characterization requests necessary to characterize given circuit.
prepare_characterization_for_operations(...): Extracts a minimal set of characterization requests necessary to characterize all the operations within a circuit(s).
prepare_floquet_characterization_for_moment(...): Describes a given moment in terms of a Floquet characterization request.
prepare_floquet_characterization_for_moments(...): Extracts a minimal set of Floquet characterization requests necessary to characterize given circuit.
prepare_floquet_characterization_for_operations(...): Extracts a minimal set of Floquet characterization requests necessary to characterize all the operations within a circuit(s).
run_calibrations(...): Runs calibration requests on the Engine.
run_floquet_characterization_for_moments(...): Extracts moments within a circuit to characterize and characterizes them against engine.
run_zeta_chi_gamma_compensation_for_moments(...): Compensates circuit for errors in zeta, chi and gamma angles by running on the engine.
try_convert_sqrt_iswap_to_fsim(...): Converts an equivalent gate to FSimGate(theta=π/4, phi=0) if possible.
two_qubit_matrix_to_sycamore_operations(...): Decomposes a two-qubit unitary matrix into cirq_google.SYC + single qubit rotations.
Other Members | |
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| ALL_ANGLES_FLOQUET_PHASED_FSIM_CHARACTERIZATION |
Instance of cirq_google.calibration.FloquetPhasedFSimCalibrationOptions
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| CIRCUIT_SERIALIZER |
Instance of cirq_google.serialization.CircuitSerializer
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| SQRT_ISWAP_INV_PARAMETERS |
Instance of cirq_google.calibration.PhasedFSimCharacterization
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| Sycamore |
Instance of cirq_google.devices.GridDevice
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| Sycamore23 |
Instance of cirq_google.devices.GridDevice
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| THETA_ZETA_GAMMA_FLOQUET_PHASED_FSIM_CHARACTERIZATION |
Instance of cirq_google.calibration.FloquetPhasedFSimCalibrationOptions
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| WITHOUT_CHI_FLOQUET_PHASED_FSIM_CHARACTERIZATION |
Instance of cirq_google.calibration.FloquetPhasedFSimCalibrationOptions
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| version |
'1.3.0'
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