





'''simple docstring'''





from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_flax_available,
    is_tf_available,
    is_torch_available,
)


_lowerCamelCase			       =      {
    'configuration_vision_encoder_decoder': ['VisionEncoderDecoderConfig', 'VisionEncoderDecoderOnnxConfig']
}

try:
       if not is_torch_available():
              raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
       pass
else:
       _lowerCamelCase			       =      ['VisionEncoderDecoderModel']

try:
       if not is_tf_available():
              raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
       pass
else:
       _lowerCamelCase			       =      ['TFVisionEncoderDecoderModel']

try:
       if not is_flax_available():
              raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
       pass
else:
       _lowerCamelCase			       =      ['FlaxVisionEncoderDecoderModel']

if TYPE_CHECKING:
       from .configuration_vision_encoder_decoder import VisionEncoderDecoderConfig, VisionEncoderDecoderOnnxConfig

       try:
              if not is_torch_available():
                     raise OptionalDependencyNotAvailable()
       except OptionalDependencyNotAvailable:
              pass
       else:
              from .modeling_vision_encoder_decoder import VisionEncoderDecoderModel

       try:
              if not is_tf_available():
                     raise OptionalDependencyNotAvailable()
       except OptionalDependencyNotAvailable:
              pass
       else:
              from .modeling_tf_vision_encoder_decoder import TFVisionEncoderDecoderModel

       try:
              if not is_flax_available():
                     raise OptionalDependencyNotAvailable()
       except OptionalDependencyNotAvailable:
              pass
       else:
              from .modeling_flax_vision_encoder_decoder import FlaxVisionEncoderDecoderModel

else:
       import sys

       _lowerCamelCase			       =      _LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)








import qiskit




def    __UpperCAmelCase(      lowercase_ = 2      ):
       _lowerCamelCase							:     Optional[Any]	=		qubits

       # Using Aer's simulator
       _lowerCamelCase							:     Optional[int]	=		qiskit.Aer.get_backend('''aer_simulator'''      )

       # Creating a Quantum Circuit acting on the q register
       _lowerCamelCase							:     List[str]	=		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
       _lowerCamelCase							:     str	=		qiskit.execute(lowercase_ ,    lowercase_ ,    shots=10_00      )

       return job.result().get_counts(lowercase_      )


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

