





import qiskit






def    _A	(   lowerCamelCase				,			lowerCamelCase ):
   a__						:    Tuple   		=	qiskit.Aer.get_backend("aer_simulator" )

   # Create a Quantum Circuit acting on the q register
   a__						:    Any   		=	qiskit.QuantumCircuit(lowerCamelCase				,			lowerCamelCase )

   # Apply X (NOT) Gate to Qubits 0 & 1
   circuit.x(0 )
   circuit.x(1 )

   # Map the quantum measurement to the classical bits
   circuit.measure([0, 1]				,			[0, 1] )

   # Execute the circuit on the qasm simulator
   a__						:    Tuple   		=	qiskit.execute(lowerCamelCase				,			lowerCamelCase				,			shots=1000 )

   # Return the histogram data of the results of the experiment.
   return job.result().get_counts(lowerCamelCase )


if __name__ == "__main__":
  SCREAMING_SNAKE_CASE__							:      Optional[Any]         =    single_qubit_measure(2, 2)
  print(f'Total count for various states are: {counts}')








from ...utils import (
    OptionalDependencyNotAvailable,
    is_torch_available,
    is_transformers_available,
    is_transformers_version,
)


try:
  if not (is_transformers_available() and is_torch_available() and is_transformers_version(""">=""", """4.25.0""")):
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  from ...utils.dummy_torch_and_transformers_objects import (
      VersatileDiffusionDualGuidedPipeline,
      VersatileDiffusionImageVariationPipeline,
      VersatileDiffusionPipeline,
      VersatileDiffusionTextToImagePipeline,
  )
else:
  from .modeling_text_unet import UNetFlatConditionModel
  from .pipeline_versatile_diffusion import VersatileDiffusionPipeline
  from .pipeline_versatile_diffusion_dual_guided import VersatileDiffusionDualGuidedPipeline
  from .pipeline_versatile_diffusion_image_variation import VersatileDiffusionImageVariationPipeline
  from .pipeline_versatile_diffusion_text_to_image import VersatileDiffusionTextToImagePipeline

