






"""simple docstring"""





import numpy as np
import qiskit



def   a    (     __UpperCAmelCase      :    int = 8      ,   __UpperCAmelCase      :    int | None = None  )    ->							str:
						__magic_name__:	List[Any]							=       np.random.default_rng(seed=__UpperCAmelCase  )

						# Roughly 25% of the qubits will contribute to the key.
						# So we take more than we need.
						__magic_name__:	Optional[Any]							=       6 * key_len
						# Measurement basis for Alice's qubits.
						__magic_name__:	List[Any]							=       rng.integers(2      ,   size=__UpperCAmelCase  )
						# The set of states Alice will prepare.
						__magic_name__:	str							=       rng.integers(2      ,   size=__UpperCAmelCase  )
						# Measurement basis for Bob's qubits.
						__magic_name__:	int							=       rng.integers(2      ,   size=__UpperCAmelCase  )

						# Quantum Circuit to simulate BB84
						__magic_name__:	str							=       qiskit.QuantumCircuit(__UpperCAmelCase      ,   name="""BB84"""  )

						# Alice prepares her qubits according to rules above.
						for index, _ in enumerate(__UpperCAmelCase  ):
												if alice_state[index] == 1:
																		bbaa_circ.x(__UpperCAmelCase  )
												if alice_basis[index] == 1:
																		bbaa_circ.h(__UpperCAmelCase  )
						bbaa_circ.barrier()

						# Bob measures the received qubits according to rules above.
						for index, _ in enumerate(__UpperCAmelCase  ):
												if bob_basis[index] == 1:
																		bbaa_circ.h(__UpperCAmelCase  )

						bbaa_circ.barrier()
						bbaa_circ.measure_all()

						# Simulate the quantum circuit.
						__magic_name__:	int							=       qiskit.Aer.get_backend("""aer_simulator"""  )
						# We only need to run one shot because the key is unique.
						# Multiple shots will produce the same key.
						__magic_name__:	Optional[int]							=       qiskit.execute(__UpperCAmelCase      ,   __UpperCAmelCase      ,   shots=1      ,   seed_simulator=__UpperCAmelCase  )
						# Returns the result of measurement.
						__magic_name__:	Optional[Any]							=       job.result().get_counts(__UpperCAmelCase  ).most_frequent()

						# Extracting the generated key from the simulation results.
						# Only keep measurement results where Alice and Bob chose the same basis.
						__magic_name__:	Union[str, Any]							=       """""".join(
						    [
						        result_bit
						        for alice_basis_bit, bob_basis_bit, result_bit in zip(
						            __UpperCAmelCase      ,   __UpperCAmelCase      ,   __UpperCAmelCase  )
						        if alice_basis_bit == bob_basis_bit
						    ]  )

						# Get final key. Pad with 0 if too short, otherwise truncate.
						__magic_name__:	Optional[Any]							=       gen_key[:key_len] if len(__UpperCAmelCase  ) >= key_len else gen_key.ljust(__UpperCAmelCase      ,   """0"""  )
						return key


if __name__ == "__main__":
							print(f'''The generated key is : {bbaa(8, seed=0)}''')
							from doctest import testmod

							testmod()








'''simple docstring'''

from abc import ABC, abstractmethod
from argparse import ArgumentParser

class       __magic_name__		(       _UpperCamelCase  ):







							@staticmethod
							@abstractmethod
							def 				__lowercase     (				_UpperCAmelCase   :			ArgumentParser						):
									raise NotImplementedError()







							@abstractmethod
							def 				__lowercase     (				self   :			str						):
									raise NotImplementedError()




