



'''simple docstring'''




from typing import Optional, Union

import torch
from torch import nn

from ...configuration_utils import ConfigMixin, register_to_config
from ...models.modeling_utils import ModelMixin






class 		_UpperCamelCase						(							lowerCamelCase__					,      lowerCamelCase__					):


			'''simple docstring'''

			@register_to_config
			def __init__(							self  :				Tuple							,  lowerCAmelCase__  :				int = 7_6_8							,  ):





					"""simple docstring"""






					super().__init__()

					__SCREAMING_SNAKE_CASE :	List[str]					 =	nn.Parameter(torch.zeros(1							,  lowerCAmelCase__		)		)
					__SCREAMING_SNAKE_CASE :	List[str]					 =	nn.Parameter(torch.ones(1							,  lowerCAmelCase__		)		)

			def UpperCamelCase__      (							self  :				Tuple							,  lowerCAmelCase__  :				Optional[Union[str, torch.device]] = None							,  lowerCAmelCase__  :				Optional[torch.dtype] = None							,  ):





					"""simple docstring"""






					__SCREAMING_SNAKE_CASE :	Tuple					 =	nn.Parameter(self.mean.to(lowerCAmelCase__		).to(lowerCAmelCase__		)		)
					__SCREAMING_SNAKE_CASE :	Optional[Any]					 =	nn.Parameter(self.std.to(lowerCAmelCase__		).to(lowerCAmelCase__		)		)
					return self

			def UpperCamelCase__      (							self  :				Tuple							,  lowerCAmelCase__  :				Dict		):





					"""simple docstring"""






					__SCREAMING_SNAKE_CASE :	Any					 =	(embeds - self.mean) * 1.0 / self.std
					return embeds



			def UpperCamelCase__      (							self  :				Union[str, Any]							,  lowerCAmelCase__  :				str		):





					"""simple docstring"""






					__SCREAMING_SNAKE_CASE :	List[Any]					 =	(embeds * self.std) + self.mean
					return embeds




'''simple docstring'''




import qiskit


def        lowerCAmelCase_     (			_lowerCamelCase:     int = 2      ):
		__SCREAMING_SNAKE_CASE :	Dict					 =	qubits

		# Using Aer's simulator
		__SCREAMING_SNAKE_CASE :	Optional[Any]					 =	qiskit.Aer.get_backend("""aer_simulator"""      )

		# Creating a Quantum Circuit acting on the q register
		__SCREAMING_SNAKE_CASE :	str					 =	qiskit.QuantumCircuit(_lowerCamelCase ,   _lowerCamelCase      )

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

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

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

		# 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
		__SCREAMING_SNAKE_CASE :	str					 =	qiskit.execute(_lowerCamelCase ,   _lowerCamelCase ,   shots=10_00      )

		return job.result().get_counts(_lowerCamelCase      )


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