code: def simplify(h, cutoff=1.0e-12):
      r"""Add together identical terms in the Hamiltonian.
  
      The Hamiltonian terms with identical Pauli words are added together and eliminated if the
      overall coefficient is smaller than a cutoff value.
  
      Args:
          h (Hamiltonian): PennyLane Hamiltonian
          cutoff (float): cutoff value for discarding the negligible terms
  
      Returns:
          Hamiltonian: Simplified PennyLane Hamiltonian
  
      **Example**
  
      >>> c = np.array([0.5, 0.5])
      >>> h = qml.Hamiltonian(c, [qml.PauliX(0) @ qml.PauliY(1), qml.PauliX(0) @ qml.PauliY(1)])
      >>> print(simplify(h))
      (1.0) [X0 Y1]
      """
      wiremap = dict(zip(h.wires, range(len(h.wires) + 1)))
  
      c, o = [], []
      for i, op in enumerate(h.ops):
          op = qml.operation.Tensor(op).prune()
          op = qml.pauli.pauli_word_to_string(op, wire_map=wiremap)
          if op not in o:
              c.append(h.coeffs[i])
              o.append(op)
          else:
              c[o.index(op)] += h.coeffs[i]
  
      coeffs, ops = [], []
      c = qml.math.convert_like(c, c[0])
      nonzero_ind = qml.math.argwhere(abs(c) > cutoff).flatten()
      for i in nonzero_ind:
          coeffs.append(c[i])
          ops.append(
              qml.pauli.string_to_pauli_word(o[i], wire_map=wiremap)
          )
  
      try:
          coeffs = qml.math.stack(coeffs)
      except ValueError:
          pass
  
      return qml.Hamiltonian(qml.math.array(coeffs), ops)
  
imports: from functools import lru_cache, reduce, singledispatch
  from itertools import product
  from typing import List, Union
  from warnings import warn
  import numpy
  import pennylane
  from pennylane.operation import Tensor
  from pennylane.ops import Hamiltonian, Identity, PauliX, PauliY, PauliZ, Prod, SProd
  from pennylane.tape import OperationRecorder
  from pennylane.wires import Wires
label_desc: Use image node_id 28 for calling a global function with example usage: simplify(h, cutoff) and returns: qml