Quantum Machine Learning, Machine Learning, Data Science, Programming, Hands On Tutorials.
training_parameters=training_params) # Callback class for tracking optimization progress class QKTCallback: # Callback wrapper class def __init__(self): self._data = [[] for i in range(5)] def callback(self, x0, x1=None, x2=None, x3=None, x4=None): #Capture callback data for analysis for i, x in