I am a newbie so I apologize if I have done something wrong.
I am trying to find information about making the easiest Qauntum Neural Network such as the xOr solution, that the output model can be saved in the Keras .h5 (or Tensorflow .pb) format and that the code could be run on as many Quantum Computer systems as possible.
The xOr issue is explained here using TensorflowJS:
It is a 2 digital (or float) input, 2 a 10 node hidden layer, that outputs a single floating point number.
[0,0] = ~0
[1,0] = ~1
[0,1] = ~1
[1,1] = ~0
The result is a floating point number which when properly trained is either close to zero or close to 1. When things get complex sometimes the easiest solution is a great starting point.
This topic looks fairly similar to
I have no problem making a stab at the code, but wondering if anyone has any suggestions or links to helper code / documentation.
Thanks in advance.