Optimisation challenge for superconducting adiabatic neural network
implementing XOR and OR boolean functions
Optimisation challenge for superconducting adiabatic neural network
implementing XOR and OR boolean functions
In this article, we consider designs of simple analog artificial neural networks based on adiabatic Josephson cells with a sigmoid activation function. A new approach based on the gradient descent method is developed to adjust the circuit parameters, allowing efficient signal transmission between the network layers. The proposed solution is …