



'''simple docstring'''


import qiskit







def      SCREAMING_SNAKE_CASE				(				lowercase_    :      int = 2						):
						lowercase        =							qubits

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

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

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

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

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

						# 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
						lowercase        =							qiskit.execute(lowercase_ ,  lowercase_ ,  shots=1000						)

						return job.result().get_counts(lowercase_						)


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







'''simple docstring'''


from transformers import HfArgumentParser, TensorFlowBenchmark, TensorFlowBenchmarkArguments







def      SCREAMING_SNAKE_CASE				(				):
						lowercase        =							HfArgumentParser(lowercase_						)
						lowercase        =							parser.parse_args_into_dataclasses()[0]
						lowercase        =							TensorFlowBenchmark(args=lowercase_						)
						try:
												lowercase        =							parser.parse_args_into_dataclasses()[0]
						except ValueError as e:
												lowercase        =							"""Arg --no_{0} is no longer used, please use --no-{0} instead."""
												lowercase        =							""" """.join(str(lowercase_						).split(""" """						)[:-1]						)
												lowercase        =							""""""
												lowercase        =							eval(str(lowercase_						).split(""" """						)[-1]						)
												lowercase        =							[]
												for arg in depreciated_args:
																		# arg[2:] removes '--'
																		if arg[2:] in TensorFlowBenchmark.deprecated_args:
																								# arg[5:] removes '--no_'
																								full_error_msg += arg_error_msg.format(arg[5:]						)
																		else:
																								wrong_args.append(lowercase_						)
												if len(lowercase_						) > 0:
																		lowercase        =							full_error_msg + begin_error_msg + str(lowercase_						)
												raise ValueError(lowercase_						)
						benchmark.run()


if __name__ == "__main__":
						main()


