qrunch.quantum.algorithms.second_quantization.vqes.basic_vqe

Module containing basic VQE.

Classes

SecondQuantizationBasicVqe

Basic VQE that takes a VQE as the underlying algorithm.
class SecondQuantizationBasicVqe

Bases: SecondQuantizationVqeAlgorithm

Basic VQE that takes a VQE as the underlying algorithm.

__init__(vqe: BasicVqe, mapper: Mapper | None = None) → None

Initialize basic VQE.

Parameters:

  • vqe (BasicVqe) – VQE to use.

  • mapper (Mapper | None) – Mapper to use for creating qubit Hamiltonian.

Return type:

None

clear_cache() → None

Clear the cache of the underlying VQE.

Return type:

None

run(second_quantized_operator: T, circuit: Circuit, initial_parameter_guess: dict[Parameter, float] | None = None) → SecondQuantizationVqeResult[T]

Run the VQE and find the eigenvalue.

Parameters:

  • second_quantized_operator (T) – The operator whose expectation value should be minimized.

  • circuit (Circuit) – The parametrized circuit to find optimal parameters for. Should contain unspecified parameters.

  • initial_parameter_guess (dict[Parameter, float] | None) – Dict specifying the initial value of each Parameter. If None is given initial

  • 0.0 (guess is)

Return type:

SecondQuantizationVqeResult[T]