Hi @abignu, this sounds like a nice task and also shouldn’t be too hard to do.
The best tutorial to follow in PennyLane is this one: https://pennylane.ai/qml/app/quantum_neural_net.html
This tutorial constructs a single mode photonic quantum neural network. You’d need to extend this to the two mode QNN used in the fraud detection model.
As the fraud detection model is a hybrid, you can use the TensorFlow interface when defining your
One thing to be aware of is that the fraud detection code is designed for TensorFlow version
1.3 but the TF interface in PennyLane requires a newer TF version of at least
Let me know how it goes and I’ll be happy to help if you get stuck!