code: def sample_bitstrings(self, n_samples):
          
          possible_bitstrings = np.array(list(itertools.product((0, 1), repeat=len(self))))
          inds = np.random.choice(2 ** len(self), n_samples, p=self.probabilities())
          bitstrings = possible_bitstrings[inds, :]
          return bitstrings
docs: Sample bitstrings from the distribution defined by the wavefunction.
  
          :param n_samples: The number of bitstrings to sample
          :return: An array of shape (n_samples, n_qubits)