



from dataclasses import dataclass, field
from typing import ClassVar, Dict

from ..features import Features, Value
from .base import TaskTemplate

@dataclass(frozen=__UpperCamelCase   )
class 		UpperCAmelCase__			(			__UpperCamelCase   ):




			'''simple docstring'''






			UpperCamelCase									=       field(default="""language-modeling"""						,metadata={"""include_in_asdict_even_if_is_default""": True}   )

			UpperCamelCase									=       Features({"""text""": Value("""string"""   )}   )
			UpperCamelCase									=       Features({}   )
			UpperCamelCase									=       "text"




			@property
			def  snake_case__     (   self							: Any ):
					'''simple docstring'''





					return {self.text_column: "text"}










import qiskit

def        a						(      _UpperCAmelCase							:					int ,   _UpperCAmelCase							:					int						):







		'''simple docstring'''





		__UpperCAmelCase    :     List[str]													=	qiskit.Aer.get_backend('''aer_simulator'''						)

		__UpperCAmelCase    :     Optional[Any]													=	qiskit.QuantumCircuit(4 ,   2						)
		# encode inputs in qubits 0 and 1
		if bita == 1:
				qc_ha.x(0						)
		if bita == 1:
				qc_ha.x(1						)
		qc_ha.barrier()

		# use cnots to write XOR of the inputs on qubit2
		qc_ha.cx(0 ,   2						)
		qc_ha.cx(1 ,   2						)

		# use ccx / toffoli gate to write AND of the inputs on qubit3
		qc_ha.ccx(0 ,   1 ,   3						)
		qc_ha.barrier()

		# extract outputs
		qc_ha.measure(2 ,   0						)  # extract XOR value
		qc_ha.measure(3 ,   1						)  # extract AND value

		# Execute the circuit on the qasm simulator
		__UpperCAmelCase    :     str													=	qiskit.execute(_UpperCAmelCase ,   _UpperCAmelCase ,   shots=10_00						)

		# Return the histogram data of the results of the experiment
		return job.result().get_counts(_UpperCAmelCase						)


if __name__ == "__main__":
				__A   			=half_adder(1, 1)
				print(f'''Half Adder Output Qubit Counts: {counts}''')





