


import qiskit

def 	lowerCAmelCase__			(      a__:		int = 2	)  ->		qiskit.result.counts.Counts:


							'''simple docstring'''





							_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(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
							_UpperCAmelCase					=      qiskit.execute(a__      ,  a__      ,  shots=1_0_0_0	)

							return job.result().get_counts(a__	)


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




import math
import random

def 	lowerCAmelCase__			(      a__:		float      ,  a__:		bool = False	)  ->		float:


							'''simple docstring'''





							if deriv:
														return value * (1 - value)
							return 1 / (1 + math.exp(-value	))


# Initial Value
lowerCAmelCase__  :Optional[Any]             =							0.02

def 	lowerCAmelCase__			(      a__:		int      ,  a__:		int	)  ->		float:


							'''simple docstring'''





							_UpperCAmelCase					=      float(2 * (random.randint(1      ,  1_0_0	)) - 1	)

							for _ in range(a__	):
														# Forward propagation
														_UpperCAmelCase					=      sigmoid_function(INITIAL_VALUE * weight	)
														# How much did we miss?
														_UpperCAmelCase					=      (expected / 1_0_0) - layer_a
														# Error delta
														_UpperCAmelCase					=      layer_1_error * sigmoid_function(a__      ,  a__	)
														# Update weight
														weight += INITIAL_VALUE * layer_1_delta

							return layer_a * 1_0_0


if __name__ == "__main__":
		import doctest

		doctest.testmod()

		lowerCAmelCase__  :List[Any]             =							int(input('''Expected value: '''))
		lowerCAmelCase__  :Any             =							int(input('''Number of propagations: '''))
		print(forward_propagation(expected, number_propagations))
