II. International Conference on Innovative Engineering Applications (CIEA’2021), 2021, Muş, Turkey, 20 - 22 May 2021, pp.193-197
The dimensionless dynamical system of FitzHugh – Nagumo (FHN) neuron contains two ordinary differential equations with the control current parameter stimulating the action potential (outcome) in the mathematical model for the axon. An appropriate shape of the feedback control makes the system imitating a quantum behavior. We investigate here an example of the FHN-based Deutsch – Jozsa quantum computational procedure via two alternative algorithmic approach, speed gradient and target attractor feedback. Our model demonstrates a novel method for the emulation of quantum algorithms with the classical neural networks.