Optimization of the matrices multiplication

[olgOk]

Optimize matrices multiplication, tensors multiplication. The optimization allows to speed up essential circuit calculations. Please be familiar with TensorNetwork framework.
`def get_state_vector(self):
"""
Returns resulting state vector as a tensor of rank 1.
Round values to 3 decimal points.
"""
# connect all nodes and evaluate all tensors stored in it
self.evaluate_patch()

if len(self.network) > 1:
  for index in reversed(range(1, len(self.network) - 1)):
    self.network[index + 1][0] ^ self.network[index][1]
  self.network[1][0] ^ self.network[0][0]
nodes = tn.reachable(self.network[1])
result = tn.contractors.greedy(nodes, ignore_edge_order=True)
# round the result to three decimals
state_vecor = np.round(result.tensor, 3)
return state_vecor`