code: def _get_qvm_with_topology(name: str, topology: nx.Graph,
                             noisy: bool = False,
                             requires_executable: bool = True,
                             connection: ForestConnection = None,
                             qvm_type: str = 'qvm') -> QuantumComputer:
      
      # Note to developers: consider making this function public and advertising it.
      device = NxDevice(topology=topology)
      if noisy:
          noise_model = decoherence_noise_with_asymmetric_ro(gates=gates_in_isa(device.get_isa()))
      else:
          noise_model = None
      return _get_qvm_qc(name=name, qvm_type=qvm_type, connection=connection, device=device,
                         noise_model=noise_model, requires_executable=requires_executable)
docs: Construct a QVM with the provided topology.
  
      :param name: A name for your quantum computer. This field does not affect behavior of the
          constructed QuantumComputer.
      :param topology: A graph representing the desired qubit connectivity.
      :param noisy: Whether to include a generic noise model. If you want more control over
          the noise model, please construct your own :py:class:`NoiseModel` and use
          :py:func:`_get_qvm_qc` instead of this function.
      :param requires_executable: Whether this QVM will refuse to run a :py:class:`Program` and
          only accept the result of :py:func:`compiler.native_quil_to_executable`. Setting this
          to True better emulates the behavior of a QPU.
      :param connection: An optional :py:class:`ForestConnection` object. If not specified,
          the default values for URL endpoints will be used.
      :param qvm_type: The type of QVM. Either 'qvm' or 'pyqvm'.
      :return: A pre-configured QuantumComputer