

import qiskit
def 							__SCREAMING_SNAKE_CASE     (   a__    :   int = 2       )					->				Optional[int]:
	__A :			str		    =			qubits

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

	# Creating a Quantum Circuit acting on the q register
	__A :			Tuple		    =			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 :			Tuple		    =			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,
)


lowerCAmelCase					:    Optional[Any]           = {
    'configuration_falcon': ['FALCON_PRETRAINED_CONFIG_ARCHIVE_MAP', 'FalconConfig'],
}

try:
						if not is_torch_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						lowerCAmelCase					:    str           = [
						    'FALCON_PRETRAINED_MODEL_ARCHIVE_LIST',
						    'FalconForCausalLM',
						    'FalconModel',
						    'FalconPreTrainedModel',
						    'FalconForSequenceClassification',
						    'FalconForTokenClassification',
						    'FalconForQuestionAnswering',
						]


if TYPE_CHECKING:
						from .configuration_falcon import FALCON_PRETRAINED_CONFIG_ARCHIVE_MAP, FalconConfig

						try:
												if not is_torch_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .modeling_falcon import (
												    FALCON_PRETRAINED_MODEL_ARCHIVE_LIST,
												    FalconForCausalLM,
												    FalconForQuestionAnswering,
												    FalconForSequenceClassification,
												    FalconForTokenClassification,
												    FalconModel,
												    FalconPreTrainedModel,
												)


else:
						import sys

						lowerCAmelCase					:    Tuple           = _LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)




