  Quantum decision systems are being increasingly considered for use in
artificial intelligence applications. Classical and quantum nodes can be
distinguished based on certain correlations in their states. This paper
investigates some properties of the states obtained in a decision tree
structure. How these correlations may be mapped to the decision tree is
considered. Classical tree representations and approximations to quantum states
are provided.
