General protocol for measuring quadratic polynomials for optional pure N-qubit state

One of the deep and intelligent computational methods for classifying a specific quantity is the use of the concept of machine learning. In this paper, we classify paired N-qubit quantum states using a quadratic polynomial invariant as a measure of entanglement. We first propose a general protocol for measuring polynomials of degree 2 of a pure N-qubit state of arbitrary pair. Then, based on machine learning techniques, using the integration of classical neural networks and quantum computations, we construct a non-zero-order polynomial classifier of zero or non-zero degrees, even if the input pattern is incomplete. Given the equality of the criterion of true polynomial entanglement and polynomial inequality of degree 2 for the state X, we consider the GHZ state as the special state of X and show that zero of the polynomial inversion of degree 2 indicates that the state The object is completely detachable and belongs to the class label "0", otherwise the state is intertwined and belongs to the class "1" label