quantum_launcher.base#

Submodules:

Summary#

__all__ Classes:

`Algorithm`	Abstract class for Algorithms.
`Backend`	Abstract class representing a backend for quantum computing.
`Problem`	Abstract class for defining Problems.
`Result`	Result(best_bitstring: str, best_energy: float, most_common_bitstring: str, most_common_bitstring_energy: float, distribution: dict, energies: dict, num_of_samples: int, average_energy: float, energy_std: float, result: Any)

__all__ Functions:

`adapter`	Register a function as an adapter from one problem format to another.
`formatter`	Register a function as a formatter for a given problem type to a given format.