import numpy as np
import qiskit
from qiskit import Aer, ClassicalRegister, QuantumCircuit, QuantumRegister, execute
def 							lowerCAmelCase(	__lowerCamelCase = np.pi / 2      ,				__lowerCamelCase = np.pi / 2      ,				__lowerCamelCase = np.pi / 2						):
					__a							=   QuantumRegister(3      ,				'qr'						)  # Define the number of quantum bits
					__a							=   ClassicalRegister(1      ,				'cr'						)  # Define the number of classical bits

					__a							=   QuantumCircuit(__lowerCamelCase      ,				__lowerCamelCase						)  # Define the quantum circuit.

					# Build the circuit
					quantum_circuit.u(__lowerCamelCase      ,				__lowerCamelCase      ,				__lowerCamelCase      ,				0						)  # Quantum State to teleport
					quantum_circuit.h(1						)  # add hadamard gate
					quantum_circuit.cx(
					    1      ,				2						)  # add control gate with qubit 1 as control and 2 as target.
					quantum_circuit.cx(0      ,				1						)
					quantum_circuit.h(0						)
					quantum_circuit.cz(0      ,				2						)  # add control z gate.
					quantum_circuit.cx(1      ,				2						)

					quantum_circuit.measure([2]      ,				[0]						)  # measure the qubit.

					# Simulate the circuit using qasm simulator
					__a							=   Aer.get_backend('aer_simulator'						)
					__a							=   execute(__lowerCamelCase      ,				__lowerCamelCase      ,				shots=1000						)

					return job.result().get_counts(__lowerCamelCase						)


if __name__ == "__main__":
	print(
	    """Total count for teleported state is: """
	    F'''{quantum_teleportation(np.pi/2, np.pi/2, np.pi/2)}'''
	)





from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


lowerCamelCase_				:		int       						=       {
    """configuration_fsmt""": ["""FSMT_PRETRAINED_CONFIG_ARCHIVE_MAP""", """FSMTConfig"""],
    """tokenization_fsmt""": ["""FSMTTokenizer"""],
}

try:
	if not is_torch_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	lowerCamelCase_				:		Dict       						=       ["""FSMTForConditionalGeneration""", """FSMTModel""", """PretrainedFSMTModel"""]


if TYPE_CHECKING:
	from .configuration_fsmt import FSMT_PRETRAINED_CONFIG_ARCHIVE_MAP, FSMTConfig
	from .tokenization_fsmt import FSMTTokenizer

	try:
		if not is_torch_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .modeling_fsmt import FSMTForConditionalGeneration, FSMTModel, PretrainedFSMTModel

else:
	import sys

	lowerCamelCase_				:		Dict       						=       _LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)




