tensorcircuit.noisemodel#

General Noise Model Construction.

class tensorcircuit.noisemodel.NoiseConf[源代码]#

基类：object

Noise Configuration class.

error1 = tc.channels.generaldepolarizingchannel(0.1, 1)
error2 = tc.channels.thermalrelaxationchannel(300, 400, 100, "ByChoi", 0)
readout_error = [[0.9, 0.75], [0.4, 0.7]]

noise_conf = NoiseConf()
noise_conf.add_noise("x", error1)
noise_conf.add_noise("h", [error1, error2], [[0], [1]])
noise_conf.add_noise("readout", readout_error)
__init__() → None[源代码]#

Establish a noise configuration.

add_noise(gate_name: str, kraus: Union[tensorcircuit.channels.KrausList, Sequence[tensorcircuit.channels.KrausList]], qubit: Optional[Sequence[Any]] = None) → None[源代码]#

Add noise channels on specific gates and specific qubits in form of Kraus operators.

参数

  • gate_name (str) -- noisy gate

  • kraus (Sequence[Gate]) -- noise channel

  • qubit (Optional[Sequence[Any]], optional) -- the list of noisy qubit, defaults to None, indicating applying the noise channel on all qubits

add_noise_by_condition(condition: Callable[[Dict[str, Any]], bool], kraus: tensorcircuit.channels.KrausList, name: Optional[Any] = 'custom') → None[源代码]#

Add noise based on specified condition

参数

  • condition (Callable[[Dict[str, Any]], bool]) -- a function to decide if the noise should be added to the qir.

  • kraus (KrausList) -- the error channel

  • name (Any) -- the name of the condition. A metadata that does not affect the numerics.

channel_count(c: tensorcircuit.circuit.Circuit) → int[源代码]#

Count the total number of channels in a given circuit

参数

c (Circuit) -- the circuit to be counted

返回

the count

返回类型

int

tensorcircuit.noisemodel.apply_qir_with_noise(c: Any, qir: List[Dict[str, Any]], noise_conf: tensorcircuit.noisemodel.NoiseConf, status: Optional[Any] = None) → Any[源代码]#
参数

  • c (AbstractCircuit) -- A newly defined circuit

  • qir (List[Dict[str, Any]]) -- The qir of the clean circuit

  • noise_conf (NoiseConf) -- Noise Configuration

  • status (1D Tensor, optional) -- The status for Monte Carlo sampling, defaults to None

返回

A newly constructed circuit with noise

返回类型

AbstractCircuit

tensorcircuit.noisemodel.circuit_with_noise(c: tensorcircuit.abstractcircuit.AbstractCircuit, noise_conf: tensorcircuit.noisemodel.NoiseConf, status: Optional[Any] = None) → Any[源代码]#

Noisify a clean circuit.

参数

  • c (AbstractCircuit) -- A clean circuit

  • noise_conf (NoiseConf) -- Noise Configuration

  • status (1D Tensor, optional) -- The status for Monte Carlo sampling, defaults to None

返回

A newly constructed circuit with noise

返回类型

AbstractCircuit

tensorcircuit.noisemodel.expectation_noisfy(c: Any, *ops: Tuple[tensornetwork.network_components.Node, List[int]], noise_conf: Optional[tensorcircuit.noisemodel.NoiseConf] = None, nmc: int = 1000, status: Optional[Any] = None, **kws: Any) → Any[源代码]#

Calculate expectation value with noise configuration.

参数

  • c (Any) -- The clean circuit

  • noise_conf (Optional[NoiseConf], optional) -- Noise Configuration, defaults to None

  • nmc (int, optional) -- repetition time for Monte Carlo sampling for noisfy calculation, defaults to 1000

  • status (Optional[Tensor], optional) -- external randomness given by tensor uniformly from [0, 1], defaults to None, used for noisfy circuit sampling

返回

expectation value with noise

返回类型

Tensor

tensorcircuit.noisemodel.sample_expectation_ps_noisfy(c: Any, x: Optional[Sequence[int]] = None, y: Optional[Sequence[int]] = None, z: Optional[Sequence[int]] = None, noise_conf: Optional[tensorcircuit.noisemodel.NoiseConf] = None, nmc: int = 1000, shots: Optional[int] = None, statusc: Optional[Any] = None, status: Optional[Any] = None, **kws: Any) → Any[源代码]#

Calculate sample_expectation_ps with noise configuration.

参数

  • c (Any) -- The clean circuit

  • x (Optional[Sequence[int]], optional) -- sites to apply X gate, defaults to None

  • y (Optional[Sequence[int]], optional) -- sites to apply Y gate, defaults to None

  • z (Optional[Sequence[int]], optional) -- sites to apply Z gate, defaults to None

  • noise_conf (Optional[NoiseConf], optional) -- Noise Configuration, defaults to None

  • nmc (int, optional) -- repetition time for Monte Carlo sampling for noisfy calculation, defaults to 1000

  • shots (Optional[int], optional) -- number of measurement shots, defaults to None, indicating analytical result

  • statusc (Optional[Tensor], optional) -- external randomness given by tensor uniformly from [0, 1], defaults to None, used for noisfy circuit sampling

  • status (Optional[Tensor], optional) -- external randomness given by tensor uniformly from [0, 1], defaults to None, used for measurement sampling

返回

sample expectation value with noise

返回类型

Tensor