Hello i have builded a sequential hybrid NN using keras and a quantum node. It works perfectly. I wonder if i can use double stochastic optimizer or something relevant so i can reduce the training time. Typically i run for 16qubits , 20-30 epochs and total run time is 40hours or so.
Also by increasing number of qubits i get better results but if increase qubits more than 12 i get worse results, could that be an indicator of barren plateau?