Quantum Computing, Quantum Physics, Quantum Mechanics, Algorithms.
the cost function J with respect to the parameters x at iteration t. The method starts with an initial guess for the parameters and then repeatedly updates them using the gradient until convergence or a stopping criterion is reached. The learning rate determines the step size in each iteration. It