I'm making my way through several neural network examples and libraries. Landing on this nugget, in creating a basic NN for character recognition.
In calculating weights and biases, looking at the graph below, looks oddly familiar in one of the quantum-related problems to solve - minimizing cost functions and finding local minimums.
Is there an equivalent quantum NN for this and are there examples I can begin working with?
My interest here is in how a parallel quantum system can be more efficient with training data over its non-quantum counterpart.