Deutsch – Jozsa Algorithm with Feedback Controlled FitzHugh – Nagumo Neurons


Borısenok S.

II. International Conference on Innovative Engineering Applications (CIEA’2021), 2021, Muş, Türkiye, 20 - 22 Mayıs 2021, ss.193-197

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Basıldığı Şehir: Muş
  • Basıldığı Ülke: Türkiye
  • Sayfa Sayıları: ss.193-197
  • Abdullah Gül Üniversitesi Adresli: Evet

Özet

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.