code: def compute_theta(alpha):
      """Maps the angles alpha of the multi-controlled rotations decomposition of a uniformly controlled rotation
       to the rotation angles used in the Gray code implementation.
  
      Args:
          alpha (tensor_like): alpha parameters
  
      Returns:
          (tensor_like): rotation angles theta
      """
      ln = alpha.shape[-1]
      k = np.log2(ln)
  
      M_trans = np.zeros(shape=(ln, ln))
      for i in range(len(M_trans)):
          for j in range(len(M_trans[0])):
              M_trans[i, j] = _matrix_M_entry(j, i)
  
      theta = qml.math.transpose(
          qml.math.dot(M_trans, qml.math.transpose(alpha))
      )
  
      return theta / 2**k
  
file_path: pennylane/pennylane/templates/state_preparations/mottonen.py
imports: import numpy
  import pennylane
  from pennylane.operation import Operation, AnyWires
label_desc: Use image node_id 3 for calling a global function with example usage: compute_theta(alpha) and returns: unknown