
'''simple docstring'''


import qiskit



def  __snake_case     (    _UpperCAmelCase = 2):
   UpperCamelCase       =  qubits

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

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

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

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

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

   # 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
   UpperCamelCase       =  qiskit.execute(_snake_case,      _snake_case,      shots=1000)

   return job.result().get_counts(_snake_case)


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







'''simple docstring'''


from random import randint
from tempfile import TemporaryFile

import numpy as np



def  __snake_case     (    _UpperCAmelCase					:       Optional[int],      _UpperCAmelCase					:       Tuple,      _UpperCAmelCase					:       Any):
   UpperCamelCase       =  0
   if start < end:
      UpperCamelCase       =  randint(_UpperCAmelCase,      _UpperCAmelCase)
      UpperCamelCase       =  a[end]
      UpperCamelCase       =  a[pivot]
      UpperCamelCase       =  temp

      UpperCamelCase     , UpperCamelCase       =  _in_place_partition(_UpperCAmelCase,      _UpperCAmelCase,      _UpperCAmelCase)
      count += _in_place_quick_sort(_UpperCAmelCase,      _UpperCAmelCase,      p - 1)
      count += _in_place_quick_sort(_UpperCAmelCase,      p + 1,      _UpperCAmelCase)
   return count



def  __snake_case     (    _UpperCAmelCase					:       Dict,      _UpperCAmelCase					:       Tuple,      _UpperCAmelCase					:       Any):
   UpperCamelCase       =  0
   UpperCamelCase       =  randint(_UpperCAmelCase,      _UpperCAmelCase)
   UpperCamelCase       =  a[end]
   UpperCamelCase       =  a[pivot]
   UpperCamelCase       =  temp
   UpperCamelCase       =  start - 1
   for index in range(_UpperCAmelCase,      _UpperCAmelCase):
      count += 1
      if a[index] < a[end]:  # check if current val is less than pivot value
         UpperCamelCase       =  new_pivot_index + 1
         UpperCamelCase       =  a[new_pivot_index]
         UpperCamelCase       =  a[index]
         UpperCamelCase       =  temp

   UpperCamelCase       =  a[new_pivot_index + 1]
   UpperCamelCase       =  a[end]
   UpperCamelCase       =  temp
   return new_pivot_index + 1, count


snake_case_ :  List[Any]     =					TemporaryFile()
snake_case_ :  Optional[Any]     =					100  # 1000 elements are to be sorted


snake_case_  , snake_case_ :  List[str]     =					0, 1  # mean and standard deviation
snake_case_ :  Any     =					np.random.normal(mu, sigma, p)
np.save(outfile, X)
print('The array is')
print(X)


outfile.seek(0)  # using the same array
snake_case_ :  Optional[int]     =					np.load(outfile)
snake_case_ :  Optional[int]     =					len(M) - 1
snake_case_ :  List[str]     =					_in_place_quick_sort(M, 0, r)

print(
    'No of Comparisons for 100 elements selected from a standard normal distribution'
    'is :'
)

print(z)





