quara.simulation.random_effective_lindbladian_generation_setting module¶

class RandomEffectiveLindbladianGenerationSetting(c_sys, qoperation_base, lindbladian_base, strength_h_part, strength_k_part, ids=None)[source]¶

Bases: quara.simulation.effective_lindbladian_generation_setting.EffectiveLindbladianGenerationSetting

Constructor

Parameters

c_sys (CompositeSystem) – CompositeSystem.
qoperation_base (Union[QOperation, str]) – QOperation base of the random effective Lindbladian.
lindbladian_base (Union[EffectiveLindbladian, str]) – effective Lindbladian base of the random effective Lindbladian.
strength_h_part (float) – the strength of random variables for generating h part.
strength_k_part (float) – the strength of random variables for generating k part.
ids (List[int], Optional) – This is a list of elmental system’s ids, by default None. To be given for specific asymmetric multi-partite gates For example, in the case of gate_name = ‘cx’, id[0] is for the id of the control qubit and id[1] is for the id of the target qubit.

Raises

ValueError – strength_h_part is not non-negative number.
ValueError – strength_k_part is not non-negative number.

Return type

None

generate_gate()[source]¶

generates random effective Lindbladian and returns gate(composition of random effective Lindbladian and qoperation base).

Returns: tuple of gate, ramdom variables for h part, ramdom variables for k part, random unitary matrix and random effective Lindbladian.
Return type: Tuple[ Gate, np.ndarray, np.ndarray, np.ndarray, np.ndarray, ]

generate_povm()[source]¶

generates random effective Lindbladian and returns povm(composition of random effective Lindbladian and qoperation base).

Returns: tuple of povm, ramdom variables for h part, ramdom variables for k part, random unitary matrix and random effective Lindbladian.
Return type: Tuple[ Povm, np.ndarray, np.ndarray, np.ndarray, np.ndarray, ]

generate_random_effective_lindbladian()[source]¶

generates random effective Lindbladian and returns effective Lindbladian base + random effective Lindbladian.

Returns: tuple of effective Lindbladian, ramdom variables for h part, ramdom variables for k part, random unitary matrix and random effective Lindbladian.
Return type: Tuple[ EffectiveLindbladian, np.ndarray, np.ndarray, np.ndarray, np.ndarray, ]

generate_random_effective_lindbladian_d_part()[source]¶

generates random HS matrix on computational basis of d part of effective Lindbladian.

Returns: tuple of random HS matrix, ramdom variables and random unitary matrix.
Return type: Tuple[np.ndarray, np.ndarray, np.ndarray]

generate_random_effective_lindbladian_h_part()[source]¶

generates random HS matrix on computational basis of h part of effective Lindbladian.

Returns: tuple of random HS matrix and ramdom variables.
Return type: Tuple[np.ndarray, np.ndarray]

generate_state()[source]¶

generates random effective Lindbladian and returns state(composition of random effective Lindbladian and qoperation base).

Returns: tuple of state, ramdom variables for h part, ramdom variables for k part, random unitary matrix and random effective Lindbladian.
Return type: Tuple[ State, np.ndarray, np.ndarray, np.ndarray, np.ndarray, ]

property strength_h_part: float¶

returns the strength of random variables for generating h part.

Returns: the strength of random variables for generating h part.
Return type: float

property strength_k_part: float¶

returns the strength of random variables for generating k part.

Returns: the strength of random variables for generating k part.
Return type: float