






import qiskit






def 							lowerCamelCase__ (       __lowerCamelCase     :	int    ,						__lowerCamelCase     :	int						):
  __UpperCAmelCase				:      Optional[Any]	 =    qiskit.Aer.get_backend("""aer_simulator"""						)

  # Create a Quantum Circuit acting on the q register
  __UpperCAmelCase				:      Tuple	 =    qiskit.QuantumCircuit(__lowerCamelCase    ,						__lowerCamelCase						)

  # Map the quantum measurement to the classical bits
  circuit.measure([0]    ,						[0]						)

  # Execute the circuit on the simulator
  __UpperCAmelCase				:      Tuple	 =    qiskit.execute(__lowerCamelCase    ,						__lowerCamelCase    ,						shots=1000						)

  # Return the histogram data of the results of the experiment.
  return job.result().get_counts(__lowerCamelCase						)


if __name__ == "__main__":
       print(f"""Total count for various states are: {single_qubit_measure(1, 1)}""")




from ...configuration_utils import PretrainedConfig
from ...utils import logging


UpperCamelCase_						:     Optional[int]	       =							logging.get_logger(__name__)




class   __lowercase						(						__snake_case       ):
	_A       =   "timm_backbone"






	def __init__(self				: Any      ,	snake_case				: List[Any]=None      ,	snake_case				: int=3      ,	snake_case				: Dict=True      ,	snake_case				: Union[str, Any]=True      ,	snake_case				: Any=None      ,	**snake_case				: int      ,	) ->			Optional[int]:
							super().__init__(**snake_case    )
							_lowercase       :	Dict           =   backbone
							_lowercase       :	Optional[Any]           =   num_channels
							_lowercase       :	Union[str, Any]           =   features_only
							_lowercase       :	Tuple           =   use_pretrained_backbone
							_lowercase       :	List[str]           =   True
							_lowercase       :	Tuple           =   out_indices if out_indices is not None else (-1,)




