



'''simple docstring'''





import torch

from diffusers import DiffusionPipeline






class        lowerCAmelCase_(				SCREAMING_SNAKE_CASE_     ):
  '''simple docstring'''




  def __init__(    self  ,__UpperCAmelCase  ,__UpperCAmelCase      )    ->		Tuple:
      super().__init__()

      self.register_modules(unet=__UpperCAmelCase  ,scheduler=__UpperCAmelCase      )






  def __call__(    self      )    ->		str:
      lowerCAmelCase__ :  Tuple							      =					torch.randn(
          (1, self.unet.config.in_channels, self.unet.config.sample_size, self.unet.config.sample_size)  ,)
      lowerCAmelCase__ :  Union[str, Any]							      =					1

      lowerCAmelCase__ :  Union[str, Any]							      =					self.unet(__UpperCAmelCase  ,__UpperCAmelCase      ).sample
      lowerCAmelCase__ :  List[Any]							      =					self.scheduler.step(__UpperCAmelCase  ,__UpperCAmelCase  ,__UpperCAmelCase      ).prev_sample

      lowerCAmelCase__ :  Optional[int]							      =					scheduler_output - scheduler_output + torch.ones_like(__UpperCAmelCase      )

      return result





import math

import numpy as np
import qiskit
from qiskit import Aer, ClassicalRegister, QuantumCircuit, QuantumRegister, execute




def 			UpperCAmelCase__				(			_A      : int = 3							):





  '''simple docstring'''







  if isinstance(_A	,      _A							):
    raise TypeError('''number of qubits must be a integer.'''							)
  if number_of_qubits <= 0:
    raise ValueError('''number of qubits must be > 0.'''							)
  if math.floor(_A							) != number_of_qubits:
    raise ValueError('''number of qubits must be exact integer.'''							)
  if number_of_qubits > 10:
    raise ValueError('''number of qubits too large to simulate(>10).'''							)

  a__  =QuantumRegister(_A	,      '''qr'''							)
  a__  =ClassicalRegister(_A	,      '''cr'''							)

  a__  =QuantumCircuit(_A	,      _A							)

  a__  =number_of_qubits

  for i in range(_A							):
    quantum_circuit.h(number_of_qubits - i - 1							)
    counter -= 1
    for j in range(_A							):
      quantum_circuit.cp(np.pi / 2 ** (counter - j)	,      _A	,      _A							)

  for k in range(number_of_qubits // 2							):
    quantum_circuit.swap(_A	,      number_of_qubits - k - 1							)

  # measure all the qubits
  quantum_circuit.measure(_A	,      _A							)
  # simulate with 10000 shots
  a__  =Aer.get_backend('''qasm_simulator'''							)
  a__  =execute(_A	,      _A	,      shots=1_00_00							)

  return job.result().get_counts(_A							)


if __name__ == "__main__":
       print(
           f"""Total count for quantum fourier transform state is: \
    {quantum_fourier_transform(3)}"""
       )
