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 qnode: https://pennylane.readthedocs.io/en/stable/introduction/interfaces/tf.html.
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 1.12.
Let me know how it goes and I’ll be happy to help if you get stuck!
Thanks
Tom