qc2.algorithms.base

Base Algo package.

Submodules

• qc2.algorithms.base.base_algorithm
• qc2.algorithms.base.base_algorithm_results
• qc2.algorithms.base.vqe_base
• qc2.algorithms.base.vqe_base_results

Classes

BaseAlgorithm	Base class for all qc2 algos.
BaseAlgorithmResults	Base class for all qc2 algorithms results.
VQEBASE	Base class for VQE
VQEBASEResults	VQE result base class.

Package Contents

class qc2.algorithms.base.BaseAlgorithm

Bases: abc.ABC

Base class for all qc2 algos.

set_qc2data(qc2data)

set the data

abstract run(*args, **kwargs)

run it

class qc2.algorithms.base.BaseAlgorithmResults

Bases: abc.ABC

Base class for all qc2 algorithms results.

class qc2.algorithms.base.VQEBASE(qc2data=None, format='')

Bases: qc2.algorithms.base.base_algorithm.BaseAlgorithm

Base class for VQE

qc2data = None

format = ''

_init_qubit_hamiltonian()

class qc2.algorithms.base.VQEBASEResults

Bases: qc2.algorithms.base.base_algorithm_results.BaseAlgorithmResults

VQE result base class.

_optimizer_evals: int | None = None

_optimal_params: List | None = None

_optimal_energy: float | None = None

_energy: List | None = None

_parameters: List | None = None

_metadata: Dict | None = None

property optimizer_evals: int | None

Returns number of optimizer evaluations.

property optimal_params: List | None

Returns optimal parameters.

property optimal_energy: float | None

Returns optimal energy.

property energy: List | None

Returns list of energies of all iterations.

property parameters: List | None

Returns list with parameters of all iteration.

property metadata: Dict | None

Returns dict with metadata of all iterations.