






import qiskit


def        _a  (     UpperCamelCase_					:				int = 2   ) ->   qiskit.result.counts.Counts:
						"""simple docstring"""







						lowerCAmelCase__       =						qubits

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

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

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

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

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

						# 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
						lowerCAmelCase__       =						qiskit.execute(UpperCamelCase_    ,   UpperCamelCase_    ,   shots=1_000   )

						return job.result().get_counts(UpperCamelCase_   )


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














from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_sentencepiece_available,
    is_tokenizers_available,
    is_torch_available,
)


a_							=    {'''configuration_plbart''': ['''PLBART_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''PLBartConfig''']}

try:
	if not is_sentencepiece_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	a_							=    ['''PLBartTokenizer''']

try:
	if not is_torch_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	a_							=    [
	    '''PLBART_PRETRAINED_MODEL_ARCHIVE_LIST''',
	    '''PLBartForCausalLM''',
	    '''PLBartForConditionalGeneration''',
	    '''PLBartForSequenceClassification''',
	    '''PLBartModel''',
	    '''PLBartPreTrainedModel''',
	]


if TYPE_CHECKING:
	from .configuration_plbart import PLBART_PRETRAINED_CONFIG_ARCHIVE_MAP, PLBartConfig

	try:
		if not is_sentencepiece_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .tokenization_plbart import PLBartTokenizer

	try:
		if not is_torch_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .modeling_plbart import (
		    PLBART_PRETRAINED_MODEL_ARCHIVE_LIST,
		    PLBartForCausalLM,
		    PLBartForConditionalGeneration,
		    PLBartForSequenceClassification,
		    PLBartModel,
		    PLBartPreTrainedModel,
		)


else:
	import sys

	a_							=    _LazyModule(__name__, globals()['''__file__'''], _import_structure)






