



from ..utils import DummyObject, requires_backends







class     __lowerCAmelCase					(    metaclass=__lowercase		):
   UpperCamelCase           =  ['''transformers''', '''torch''', '''note_seq''']



   def __init__(		self     :						int				,	*A     :						List[str]				,	**A     :						List[Any])     ->					List[Any]:



      """simple docstring"""






      requires_backends(self				,	['transformers', 'torch', 'note_seq'])



   @classmethod
   def 					_lowerCamelCase (		cls     :						List[str]				,	*A     :						str				,	**A     :						Optional[int])     ->					Optional[Any]:



      """simple docstring"""






      requires_backends(cls				,	['transformers', 'torch', 'note_seq'])



   @classmethod
   def 					_lowerCamelCase (		cls     :						Union[str, Any]				,	*A     :						List[Any]				,	**A     :						Tuple)     ->					List[Any]:



      """simple docstring"""






      requires_backends(cls				,	['transformers', 'torch', 'note_seq'])





import qiskit





def 							A			(  _UpperCAmelCase       :     int							,     _UpperCAmelCase       :     int					)       ->				qiskit.result.counts.Counts:







			'''simple docstring'''
			_UpperCAmelCase	 =     qiskit.Aer.get_backend('aer_simulator'					)

			# Create a Quantum Circuit acting on the q register
			_UpperCAmelCase	 =     qiskit.QuantumCircuit(_UpperCAmelCase							,     _UpperCAmelCase					)

			# Apply X (NOT) Gate to Qubits 0 & 1
			circuit.x(0					)
			circuit.x(1					)

			# Map the quantum measurement to the classical bits
			circuit.measure([0, 1]							,     [0, 1]					)

			# Execute the circuit on the qasm simulator
			_UpperCAmelCase	 =     qiskit.execute(_UpperCAmelCase							,     _UpperCAmelCase							,     shots=1_000					)

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


if __name__ == "__main__":
							UpperCAmelCase__     = single_qubit_measure(2, 2)
							print(f"""Total count for various states are: {counts}""")
