





'''simple docstring'''



import qiskit




def 				snake_case_      (		SCREAMING_SNAKE_CASE__ = 2       ):







  '''simple docstring'''



  _snake_case     		=				qubits

  # Using Aer's simulator
  _snake_case     		=				qiskit.Aer.get_backend("aer_simulator"       )

  # Creating a Quantum Circuit acting on the q register
  _snake_case     		=				qiskit.QuantumCircuit(SCREAMING_SNAKE_CASE__					,	SCREAMING_SNAKE_CASE__       )

  # Adding a H gate on qubit 0 (now q0 in superposition)
  circuit.h(0       )

  for i in range(1					,	SCREAMING_SNAKE_CASE__       ):
    # Adding CX (CNOT) gate
    circuit.cx(i - 1					,	SCREAMING_SNAKE_CASE__       )

  # Mapping the quantum measurement to the classical bits
  circuit.measure(list(range(SCREAMING_SNAKE_CASE__       )       )					,	list(range(SCREAMING_SNAKE_CASE__       )       )       )

  # Now measuring any one qubit would affect other qubits to collapse
  # their super position and have same state as the measured one.

  # Executing the circuit on the simulator
  _snake_case     		=				qiskit.execute(SCREAMING_SNAKE_CASE__					,	SCREAMING_SNAKE_CASE__					,	shots=10_00       )

  return job.result().get_counts(SCREAMING_SNAKE_CASE__       )


if __name__ == "__main__":
 print(F'Total count for various states are: {quantum_entanglement(3)}')









'''simple docstring'''



from ...configuration_utils import PretrainedConfig
from ...utils import logging
from ...utils.backbone_utils import BackboneConfigMixin, get_aligned_output_features_output_indices


__magic_name__   :						Any    =			logging.get_logger(__name__)

__magic_name__   :						Dict    =			{
    """google/bit-50""": """https://huggingface.co/google/bit-50/resolve/main/config.json""",
}


class       __SCREAMING_SNAKE_CASE	(						__UpperCamelCase					,    __UpperCamelCase			):



     '''simple docstring'''






     UpperCAmelCase__       :						List[str]      =   '''bit'''
     UpperCAmelCase__       :						Union[str, Any]      =   ['''preactivation''', '''bottleneck''']
     UpperCAmelCase__       :						int      =   ['''SAME''', '''VALID''']

     def __init__(					self						,   lowerCamelCase=3						,   lowerCamelCase=64						,   lowerCamelCase=[256, 512, 1_024, 2_048]						,   lowerCamelCase=[3, 4, 6, 3]						,   lowerCamelCase="preactivation"						,   lowerCamelCase="relu"						,   lowerCamelCase=None						,   lowerCamelCase=32						,   lowerCamelCase=0.0						,   lowerCamelCase=False						,   lowerCamelCase=32						,   lowerCamelCase=1						,   lowerCamelCase=None						,   lowerCamelCase=None						,   **lowerCamelCase						,   ):
       super().__init__(**lowerCamelCase	)
       if layer_type not in self.layer_types:
         raise ValueError(F'''layer_type={layer_type} is not one of {",".join(self.layer_types	)}'''	)
       if global_padding is not None:
         if global_padding.upper() in self.supported_padding:
           _snake_case     		=				global_padding.upper()
         else:
           raise ValueError(F'''Padding strategy {global_padding} not supported'''	)
       _snake_case     		=				num_channels
       _snake_case     		=				embedding_size
       _snake_case     		=				hidden_sizes
       _snake_case     		=				depths
       _snake_case     		=				layer_type
       _snake_case     		=				hidden_act
       _snake_case     		=				global_padding
       _snake_case     		=				num_groups
       _snake_case     		=				drop_path_rate
       _snake_case     		=				embedding_dynamic_padding
       _snake_case     		=				output_stride
       _snake_case     		=				width_factor

       _snake_case     		=				["stem"] + [F'''stage{idx}''' for idx in range(1						,   len(lowerCamelCase	) + 1	)]
       _snake_case		,		_snake_case     		=				get_aligned_output_features_output_indices(
           out_features=lowerCamelCase						,   out_indices=lowerCamelCase						,   stage_names=self.stage_names	)


