
"""simple docstring"""





import qiskit
def 				A_  (__a = 2					):

					'''simple docstring'''





					A_								=    qubits

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

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

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

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

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

					# 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
					A_								=    qiskit.execute(__a					, __a					, shots=1000					)

					return job.result().get_counts(__a					)


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






"""simple docstring"""





from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


UpperCamelCase_       :    List[str]						      =			{'''configuration_sew''': ['''SEW_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''SEWConfig''']}

try:
		if not is_torch_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		UpperCamelCase_       :    Tuple						      =			[
		    '''SEW_PRETRAINED_MODEL_ARCHIVE_LIST''',
		    '''SEWForCTC''',
		    '''SEWForSequenceClassification''',
		    '''SEWModel''',
		    '''SEWPreTrainedModel''',
		]

if TYPE_CHECKING:
		from .configuration_sew import SEW_PRETRAINED_CONFIG_ARCHIVE_MAP, SEWConfig

		try:
				if not is_torch_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .modeling_sew import (
				    SEW_PRETRAINED_MODEL_ARCHIVE_LIST,
				    SEWForCTC,
				    SEWForSequenceClassification,
				    SEWModel,
				    SEWPreTrainedModel,
				)


else:
		import sys

		UpperCamelCase_       :    List[str]						      =			_LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)




