quara.simulation.random_effective_lindbladian_generation_setting module

class RandomEffectiveLindbladianGenerationSetting(c_sys, qoperation_base, lindbladian_base, strength_h_part, strength_k_part, ids=None, is_physicality_required=True)

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.

• is_physicality_required (bool) –

Raises

• ValueError – strength_h_part is not non-negative number.

• ValueError – strength_k_part is not non-negative number.

Return type

None

generate(seed_or_generator=None)

Parameters

seed_or_generator (Optional[Union[int, numpy.random._generator.Generator]]) –

generate_gate(seed_or_generator=None)

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

Parameters

seed_or_generator (Union[int, np.random.Generator], optional) – If the type is int, generates Generator with seed seed_or_generator and returned generated Generator. If the type is Generator, returns Generator. If argument is None, returns np.random. Default value is None.

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_mprocess(seed_or_generator=None)

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

Parameters

seed_or_generator (Union[int, np.random.Generator], optional) – If the type is int, generates Generator with seed seed_or_generator and returned generated Generator. If the type is Generator, returns Generator. If argument is None, returns np.random. Default value is None.

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(seed_or_generator=None)

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

Parameters

seed_or_generator (Union[int, np.random.Generator], optional) – If the type is int, generates Generator with seed seed_or_generator and returned generated Generator. If the type is Generator, returns Generator. If argument is None, returns np.random. Default value is None.

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(seed_or_generator=None)

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

Parameters

seed_or_generator (Union[int, np.random.Generator], optional) – If the type is int, generates Generator with seed seed_or_generator and returned generated Generator. If the type is Generator, returns Generator. If argument is None, returns np.random. Default value is None.

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(seed_or_generator=None)

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

Parameters

seed_or_generator (Union[int, np.random.Generator], optional) – If the type is int, generates Generator with seed seed_or_generator and returned generated Generator. If the type is Generator, returns Generator. If argument is None, returns np.random. Default value is None.

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(seed_or_generator=None)

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

Parameters

seed_or_generator (Union[int, np.random.Generator], optional) – If the type is int, generates Generator with seed seed_or_generator and returned generated Generator. If the type is Generator, returns Generator. If argument is None, returns np.random. Default value is None.

Returns

tuple of random HS matrix and ramdom variables.

Return type

Tuple[np.ndarray, np.ndarray]

generate_state(seed_or_generator=None)

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

Parameters

seed_or_generator (Union[int, np.random.Generator], optional) – If the type is int, generates Generator with seed seed_or_generator and returned generated Generator. If the type is Generator, returns Generator. If argument is None, returns np.random. Default value is None.

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