General Quantum Computational Networks Using Nonlinear Operators

What is presented is an outline of a new type of system which approximates a desired wavefunction given an input using qubits. If enough of the nodes activate then corresponding output is generated. This formulation can be extended to the same network enticing multiple people by the use of segregation of certain nodes to reach an activiation threshold. What this paper shows is that there are alternative network models that can be created that are in the spirit of an neural network. Also this computer is significantly faster than other machines since it can solve NP-complete problems in P time. It can be seen that certain quantum computers are more powerful than others.