QCloudNoiseModel

QCloudNoiseModel represents a noise model for cloud-based quantum simulations. It encapsulates the noise type and its associated parameters for single-qubit and two-qubit gates.

Signature

QCloudNoiseModel()
QCloudNoiseModel(model: NOISE_MODEL, single_p: list[float], double_p: list[float])

Parameters

Parameter	Type	Default	Description
model	NOISE_MODEL	required	The noise model type
single_p	list[float]	required	Single-qubit gate noise parameters
double_p	list[float]	required	Two-qubit gate noise parameters

The default constructor creates a disabled noise model (no noise applied).

Methods

get_noise_model

get_noise_model() -> str

Returns the noise model type as a string.

Returns: The noise model name string.

get_single_params

get_single_params() -> list[float]

Returns the single-qubit gate noise parameters.

Returns: A list of floating-point noise parameters for single-qubit gates.

set_single_params

set_single_params(single: list[float]) -> None

Sets the single-qubit gate noise parameters.

Parameter	Type	Description
single	list[float]	The single-qubit noise parameters

get_double_params

get_double_params() -> list[float]

Returns the two-qubit gate noise parameters.

Returns: A list of floating-point noise parameters for two-qubit gates.

set_double_params

set_double_params(double_p: list[float]) -> None

Sets the two-qubit gate noise parameters.

Parameter	Type	Description
double_p	list[float]	The two-qubit noise parameters

is_enabled

is_enabled() -> bool

Checks whether the noise model is enabled (i.e., has been configured with a noise type and parameters).

Returns: True if the noise model is enabled, False otherwise.

print

print() -> None

Prints the noise model type and its parameters to standard output.

Operators

Operator	Description
==	Compares two QCloudNoiseModel objects for equality
!=	Compares two QCloudNoiseModel objects for inequality

Examples

from pyqpanda3.qcloud import QCloudNoiseModel, NOISE_MODEL

# Create a default (disabled) noise model
no_noise = QCloudNoiseModel()
print("Enabled:", no_noise.is_enabled())  # False

# Create a depolarizing noise model
noise = QCloudNoiseModel(
    model=NOISE_MODEL.DEPOLARIZING_KRAUS_OPERATOR,
    single_p=[0.001],       # Single-qubit depolarizing probability
    double_p=[0.01]         # Two-qubit depolarizing probability
)
print("Enabled:", noise.is_enabled())  # True
print("Model:", noise.get_noise_model())

# Use the noise model with a backend
job = backend.run(prog, shots=1000, model=noise)

# Modify noise parameters
noise.set_single_params([0.002])
noise.set_double_params([0.02])
noise.print()

See Also

• NOISE_MODEL -- Available noise model types
• QCloudService -- Cloud service and backend for running with noise